WEBVTT

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[SQUEAKING]

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[RUSTLING]

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[CLICKING]

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IAN BELL: All right,
let's get started.

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So today we're going to
discuss subgame perfect

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Nash equilibrium.

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And I think the best
way to motivate this

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is to start with an example.

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So let's start with a very
simple example of a game.

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Let's draw it like this.

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The story is that
we have two players.

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And the first player can choose
whether to exit or enter,

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let's say, some market.

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We can think of them as firms.

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If they exit, then both
players just get a payoff of 0.

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But if they enter,
then the other firm,

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too, can choose whether to
accommodate this new entrant

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or to fight.

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So if player 1 enters, player
2 chooses accommodate or fight.

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If they accommodate
the new entrant,

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that's good for both players.

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They both get one.

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If they fight against
the new entrant,

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that's bad for both players.

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They both get negative 1.

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So first, let's just represent
this in strategic form.

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This is a bit of a review here.

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So if we represent
this in strategic form,

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player 1 has two
strategies, N and X.

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And player 2 has two
strategies, A and F,

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and we can put them here.

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And then we just need
to fill in the payoffs.

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Well, if player 1 does
not enter, if they exit,

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then both players get a payoff
of 0, so we have 0, 0 0, 0.

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If player 1 enters, then it
depends what player 2 does.

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And if player 1
accommodates, we get 1,1.

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And if player 1 fights, we
get negative 1, negative 1.

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So now as usual, let's
try to solve for the Nash

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equilibria of this game.

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And I'll say, given, if
player 2 accommodates,

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then I'm better off entering.

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If player 2 fights, then
I'm better off exiting.

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And then if we do it the other
way, we're going to get this.

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So here we see that we
get two Nash equilibria.

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Namely, our two Nash
equilibria are NA and XF.

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So what's the story here?

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One Nash equilibrium
is player 1 enters,

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anticipating that
player 2 is going

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to accommodate their entry.

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The other Nash
equilibrium is XF.

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Player 1 exits.

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They don't enter
because they anticipate

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that player 2 will fight.

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And both of these
are Nash equilibria.

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Both players are playing
optimally given the way

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the other player is behaving.

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But we argued last week, that
in games like this, one of these

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is more compelling
than the other.

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Do you find a problem
with any-- does

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any of these Nash equilibria
involve a non-credible threat

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that maybe makes it less
compelling than the other Nash

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equilibrium?

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Yeah?

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AUDIENCE: Is the player
2 will fight [INAUDIBLE]?

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IAN BELL: Right, so this
is a Nash equilibrium,

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but this involves a
non-credible threat.

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Why?

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Well, in this equilibrium,
player 1 is exiting.

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They're choosing not to
enter because they anticipate

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that player 2 will fight them.

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But that's not a
credible threat.

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If they actually were
to enter, then player 2

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would find it optimal to
accommodate, not to fight.

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So this second Nash
equilibrium, it

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involves a non-credible threat.

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And if we want to be a
little more formal about it,

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this is going to violate
backward induction.

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We can easily apply backward
induction to this game.

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We start with player 2.

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They'd rather
accommodate than fight.

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And given that player 2
is going to accommodate,

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player 1 would rather enter.

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And indeed, backward induction
gives us the other Nash

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equilibria of NA.

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So this is kind of a review
of what we've done before.

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This is a game of
perfect information.

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We were able to apply
backward induction,

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and that was able
to identify one Nash

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equilibrium as being compelling
prediction in the game.

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And the other Nash
equilibrium is

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being less compelling because it
involved a non-credible threat,

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and more formally, it
violated backward induction.

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But now let's modify
this example slightly.

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Let's suppose that
now player 1 chooses

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exit or enter as before, 0, 0.

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But now if player
1 chooses to enter,

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then player 1 and player 2 will
play a simultaneous move game.

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And we can represent that
by saying, well, player 2 is

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going to make a move.

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They're going to choose,
say, accommodate or fight.

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But then player 1 is
also making a move.

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So we'll put these in
the same information set.

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And we'll say player 1 chooses,
I think, top or bottom.

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So just so we understand
what's going on here.

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Now, as before, player 1 first
chooses whether to exit or enter

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the market.

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But if they enter the market,
then player 1 and player 2

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play a simultaneous
move game, where

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player 2 chooses between
accommodate and fight,

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and player 1 chooses between the
interpretation is so important,

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but T and B.

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And notice here that
I've written this

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as if player 2 moves
before player 1.

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But whenever we have
simultaneous moves,

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and we want to capture
that in the extensive form,

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the way that we do that is we
can arbitrarily pick a sequence

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and then just assume
that player 1 does not

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observe player 2's move.

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So if we had switched
the order here, and said,

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player 1 moves, and
then player 2 moves,

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not having observed
what player 1 did,

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that would be equivalent
to player 2 moving first

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and then player 1
moving not having

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observed what player 2 did.

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So now let me just fill
in the payoffs here.

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Make sure I get this right.

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So we're going to have 2,
2, negative 1, negative 1.

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2, 2 1, 1.

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Make sure I get this right.

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And then phi 2t.

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Great, so as before,
accommodating

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is good for everyone.

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Fighting is bad for everyone.

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But now player 1'a choice
between T and B can affect

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the intensity of that good
or bad for the two players.

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So now let's go through our
same analysis as before.

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Let's represent this
in strategic form,

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and let's solve for the Nash
equilibria of this game.

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So now player 1 has
four strategies, right?

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Because player 1 chooses N or
X and they also choose T or B.

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Notice player 1 here only
has one information set.

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If these were in separate
information sets, then

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player 1 would have to move
at three information sets.

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But here we just have
one information set

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and another information set.

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So for player 1, the
strategies are NT, NB--

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maybe I'll write it
this way, yeah, sure.

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I'll do it this way.

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It doesn't matter, XT XB.

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And the strategies for
player 2 are just A and F.

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And now we need to fill in
the payoffs of this matrix.

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Well, let's do it
systematically.

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If player 1 exits,
then we know that

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no matter what
player 2 or player 1

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subsequently does,
we're going to get 0, 0.

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So here we're going to have
0, 0 0,0 0, o and 0, 0.

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Because in all of
these strategies,

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player 1 first exits,
and that's just

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ends the game with
a payoff of 0, 0.

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Next, let's figure
out what happens

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under the other two strategies
or the other four strategies.

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So first player 1 enters.

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If player 2 accommodates,
and player 1 plays T then

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we're going to get 2, 2.

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And if player 2 accommodates,
and player 1 plays B,

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we're going to get 1, 1.

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And then if we do it over
here, we're going to get--

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I'll do that.

00:09:57.540 --> 00:10:03.280 align:middle line:84%
Yeah, so all I've done is filled
in the payoffs in this matrix.

00:10:03.280 --> 00:10:06.660 align:middle line:84%
So now let's go through
our standard procedure,

00:10:06.660 --> 00:10:09.500 align:middle line:84%
and let's try to find the
Nash equilibria of this game

00:10:09.500 --> 00:10:11.400 align:middle line:84%
now that we have it
in strategic form.

00:10:11.400 --> 00:10:14.920 align:middle line:84%
We're going to say, if player
1 is going to accommodate,

00:10:14.920 --> 00:10:19.680 align:middle line:84%
then player 2 finds
it optimal to do this.

00:10:19.680 --> 00:10:23.920 align:middle line:84%
If player 2 is going
to fight, then player 1

00:10:23.920 --> 00:10:26.160 align:middle line:90%
finds each of these optimal.

00:10:26.160 --> 00:10:28.080 align:middle line:84%
And now we're going
to go row by row.

00:10:28.080 --> 00:10:31.560 align:middle line:84%
If player 1 is playing
NT, then player 2

00:10:31.560 --> 00:10:33.920 align:middle line:84%
would like to
accommodate for an NB.

00:10:33.920 --> 00:10:35.860 align:middle line:90%
Then we're here for here.

00:10:35.860 --> 00:10:42.770 align:middle line:90%


00:10:42.770 --> 00:10:45.670 align:middle line:84%
So now we get three
Nash equilibria.

00:10:45.670 --> 00:10:49.010 align:middle line:90%


00:10:49.010 --> 00:10:50.190 align:middle line:90%
Let's write these down.

00:10:50.190 --> 00:10:55.490 align:middle line:90%


00:10:55.490 --> 00:11:16.450 align:middle line:84%
We get NT, A. We get
XT, F. We get XB, F.

00:11:16.450 --> 00:11:21.770 align:middle line:84%
All right, so here,
player 1 enters

00:11:21.770 --> 00:11:24.530 align:middle line:84%
the market anticipating
that player 2 is

00:11:24.530 --> 00:11:26.130 align:middle line:90%
going to accommodate.

00:11:26.130 --> 00:11:28.850 align:middle line:84%
And then they follow
this up by playing

00:11:28.850 --> 00:11:34.290 align:middle line:84%
T. In both of these equilibria,
player 1 exits the market

00:11:34.290 --> 00:11:37.090 align:middle line:84%
because they anticipate that
player 2 is going to fight.

00:11:37.090 --> 00:11:38.790 align:middle line:84%
And then it doesn't
actually matter.

00:11:38.790 --> 00:11:42.260 align:middle line:84%
They could do T or B, and we
have an equilibrium either way.

00:11:42.260 --> 00:11:44.380 align:middle line:84%
But now let's ask the
same question as before.

00:11:44.380 --> 00:11:50.020 align:middle line:84%
Do any of these equilibria
seem more compelling to you

00:11:50.020 --> 00:11:54.540 align:middle line:90%
than any others?

00:11:54.540 --> 00:11:57.560 align:middle line:84%
Do any of these involve
non-credible threats?

00:11:57.560 --> 00:12:08.500 align:middle line:90%


00:12:08.500 --> 00:12:09.280 align:middle line:90%
Any thoughts?

00:12:09.280 --> 00:12:14.300 align:middle line:90%


00:12:14.300 --> 00:12:14.860 align:middle line:90%
Yes?

00:12:14.860 --> 00:12:16.320 align:middle line:90%
AUDIENCE: [INAUDIBLE]

00:12:16.320 --> 00:12:18.110 align:middle line:90%


00:12:18.110 --> 00:12:22.660 align:middle line:84%
IAN BELL: Right, so
these two seem to involve

00:12:22.660 --> 00:12:23.840 align:middle line:90%
non-credible threats.

00:12:23.840 --> 00:12:24.440 align:middle line:90%
Why?

00:12:24.440 --> 00:12:30.380 align:middle line:84%
Well, player 2 is fighting
when player 1 enters,

00:12:30.380 --> 00:12:33.820 align:middle line:84%
but fighting just makes
both players worse off.

00:12:33.820 --> 00:12:36.520 align:middle line:84%
So we don't think that if
player 1 actually enters,

00:12:36.520 --> 00:12:39.670 align:middle line:84%
player 2 is going to be willing
to follow through and fight.

00:12:39.670 --> 00:12:43.350 align:middle line:84%
So intuitively, these
involve non-credible threats.

00:12:43.350 --> 00:12:46.990 align:middle line:84%
But formally, we can't apply
backward induction to this game.

00:12:46.990 --> 00:12:49.270 align:middle line:84%
Why can we not apply
backward induction?

00:12:49.270 --> 00:12:50.310 align:middle line:90%
Yeah?

00:12:50.310 --> 00:12:50.830 align:middle line:84%
AUDIENCE: No
perfect information.

00:12:50.830 --> 00:12:52.872 align:middle line:84%
IAN BELL: It's not a game
of perfect information.

00:12:52.872 --> 00:12:56.330 align:middle line:84%
So the issue here
is conceptually,

00:12:56.330 --> 00:12:58.880 align:middle line:84%
we think that we'd like
to select this equilibrium

00:12:58.880 --> 00:13:00.630 align:middle line:84%
because we think that
these equilibria are

00:13:00.630 --> 00:13:03.110 align:middle line:84%
bad for the same reasons
as in our first example

00:13:03.110 --> 00:13:05.830 align:middle line:84%
up here because they involve a
threat that will not actually

00:13:05.830 --> 00:13:08.270 align:middle line:84%
be optimal for the
player to carry out.

00:13:08.270 --> 00:13:11.270 align:middle line:84%
However, we don't have
the formal methodology

00:13:11.270 --> 00:13:15.110 align:middle line:84%
to rule out these Nash
equilibria because our existing

00:13:15.110 --> 00:13:17.270 align:middle line:84%
techniques of backward
induction don't apply

00:13:17.270 --> 00:13:19.870 align:middle line:84%
to games of this form
because this game does not

00:13:19.870 --> 00:13:21.490 align:middle line:90%
have perfect information.

00:13:21.490 --> 00:13:29.750 align:middle line:84%
So the problem here is that
Backward Induction, BI, does not

00:13:29.750 --> 00:13:36.290 align:middle line:84%
apply because this game does
not have perfect information.

00:13:36.290 --> 00:13:39.080 align:middle line:90%


00:13:39.080 --> 00:13:42.140 align:middle line:84%
Maybe we'll say, because this
game has imperfect information.

00:13:42.140 --> 00:13:51.120 align:middle line:90%


00:13:51.120 --> 00:13:52.980 align:middle line:84%
What is the imperfect
information here?

00:13:52.980 --> 00:13:55.680 align:middle line:84%
It's that when player
1 moves down here,

00:13:55.680 --> 00:13:59.360 align:middle line:84%
player 1 has not observed what
player 2's action is here.

00:13:59.360 --> 00:14:01.120 align:middle line:84%
So they don't have
perfect information

00:14:01.120 --> 00:14:03.160 align:middle line:90%
about the previous moves.

00:14:03.160 --> 00:14:05.840 align:middle line:84%
And indeed, that makes it
difficult to apply backward

00:14:05.840 --> 00:14:10.040 align:middle line:84%
induction because when we tried
to apply backward induction,

00:14:10.040 --> 00:14:12.520 align:middle line:84%
we wanted to say, well,
how should a player move

00:14:12.520 --> 00:14:13.822 align:middle line:90%
at each of these nodes?

00:14:13.822 --> 00:14:15.280 align:middle line:84%
But if you're at
an information set

00:14:15.280 --> 00:14:17.540 align:middle line:84%
with multiple nodes in
the information set,

00:14:17.540 --> 00:14:21.200 align:middle line:84%
it's not clear how to
carry out this procedure.

00:14:21.200 --> 00:14:27.640 align:middle line:84%
So the plan for today, is
to introduce a new solution

00:14:27.640 --> 00:14:30.720 align:middle line:84%
concept of SPNE,
which I wrote up here,

00:14:30.720 --> 00:14:33.120 align:middle line:84%
Subgame Perfect
Nash Equilibrium,

00:14:33.120 --> 00:14:36.710 align:middle line:84%
that is going to capture--
so we'll say this in words.

00:14:36.710 --> 00:14:49.410 align:middle line:84%
It will capture the
idea of credibility,

00:14:49.410 --> 00:14:52.490 align:middle line:84%
but it will apply to a
larger class of games

00:14:52.490 --> 00:14:54.970 align:middle line:90%
than backward induction did.

00:14:54.970 --> 00:15:02.230 align:middle line:84%
But it-- to a larger
class of games.

00:15:02.230 --> 00:15:07.050 align:middle line:90%


00:15:07.050 --> 00:15:16.770 align:middle line:84%
Namely, it will apply to games
that have imperfect information,

00:15:16.770 --> 00:15:24.250 align:middle line:84%
and also, it will allow for
infinite games, that is, games

00:15:24.250 --> 00:15:26.730 align:middle line:84%
where we keep making
moves over and over again,

00:15:26.730 --> 00:15:27.870 align:middle line:90%
and there's no clear point.

00:15:27.870 --> 00:15:31.550 align:middle line:84%
Remember, we argued last week,
when we looked at negotiation,

00:15:31.550 --> 00:15:33.790 align:middle line:84%
that there was this
artificial aspect

00:15:33.790 --> 00:15:35.630 align:middle line:84%
to our model of
negotiation, that there

00:15:35.630 --> 00:15:37.370 align:middle line:84%
was some time at
which the world ended,

00:15:37.370 --> 00:15:39.703 align:middle line:84%
and there couldn't be any
negotiation beyond that point.

00:15:39.703 --> 00:15:41.570 align:middle line:84%
We had to impose that
artificial deadline

00:15:41.570 --> 00:15:44.070 align:middle line:84%
because we didn't have the tools
to analyze games that could

00:15:44.070 --> 00:15:45.910 align:middle line:90%
potentially go on forever.

00:15:45.910 --> 00:15:48.790 align:middle line:84%
And now with subgame perfection,
we'll be able to do this.

00:15:48.790 --> 00:15:49.990 align:middle line:90%
I want to be clear here.

00:15:49.990 --> 00:15:53.310 align:middle line:84%
Of course, it also applies to
games of perfect information

00:15:53.310 --> 00:15:54.650 align:middle line:90%
and finite games.

00:15:54.650 --> 00:15:56.390 align:middle line:84%
But in addition
to those games, it

00:15:56.390 --> 00:15:58.970 align:middle line:84%
applies to games of imperfect
information and infinite games.

00:15:58.970 --> 00:16:01.470 align:middle line:90%
So maybe I'll say, also.

00:16:01.470 --> 00:16:03.310 align:middle line:84%
Of course, it also
applies wherever

00:16:03.310 --> 00:16:04.610 align:middle line:90%
backward induction applies.

00:16:04.610 --> 00:16:09.390 align:middle line:90%


00:16:09.390 --> 00:16:10.910 align:middle line:84%
And maybe the last
thing I'll say,

00:16:10.910 --> 00:16:16.610 align:middle line:84%
is it extends
backward induction.

00:16:16.610 --> 00:16:18.910 align:middle line:90%
What do I mean by that?

00:16:18.910 --> 00:16:21.790 align:middle line:84%
Whenever backward
induction does apply,

00:16:21.790 --> 00:16:25.230 align:middle line:84%
subgame perfect Nash equilibrium
will give us the same answer.

00:16:25.230 --> 00:16:29.390 align:middle line:90%
So i.e.

00:16:29.390 --> 00:16:33.720 align:middle line:84%
it agrees with backward
induction whenever

00:16:33.720 --> 00:16:35.020 align:middle line:90%
backward induction applies.

00:16:35.020 --> 00:16:42.137 align:middle line:90%


00:16:42.137 --> 00:16:43.720 align:middle line:84%
So we had this class
of games where we

00:16:43.720 --> 00:16:45.180 align:middle line:90%
could apply backward induction.

00:16:45.180 --> 00:16:46.640 align:middle line:84%
Subgame perfect
Nash equilibrium is

00:16:46.640 --> 00:16:49.820 align:middle line:84%
going to give us the same
answers on those nice games,

00:16:49.820 --> 00:16:52.560 align:middle line:84%
but it's also going to give us a
compelling answer in other games

00:16:52.560 --> 00:16:53.500 align:middle line:90%
beyond that class.

00:16:53.500 --> 00:16:57.120 align:middle line:84%
And that's what we're
hoping to do today.

00:16:57.120 --> 00:17:02.640 align:middle line:84%
OK, well, let's try to
understand what went wrong, what

00:17:02.640 --> 00:17:06.599 align:middle line:90%
was non-credible about this.

00:17:06.599 --> 00:17:09.060 align:middle line:84%
And I'd encourage you one
way to think of this--

00:17:09.060 --> 00:17:12.240 align:middle line:90%


00:17:12.240 --> 00:17:15.480 align:middle line:84%
well, we have the term subgame
in the name subgame perfect Nash

00:17:15.480 --> 00:17:16.130 align:middle line:90%
equilibrium.

00:17:16.130 --> 00:17:17.880 align:middle line:84%
We're going to think
of subgames, that is,

00:17:17.880 --> 00:17:20.880 align:middle line:84%
smaller games that are
part of the larger game.

00:17:20.880 --> 00:17:23.839 align:middle line:84%
And notice that once
we get to this node,

00:17:23.839 --> 00:17:28.140 align:middle line:84%
we can think of the rest of
this as a game in itself,

00:17:28.140 --> 00:17:33.450 align:middle line:84%
as kind of a smaller subgame
within the larger game.

00:17:33.450 --> 00:17:38.530 align:middle line:84%
And if we think of this
as a smaller subgame,

00:17:38.530 --> 00:17:43.050 align:middle line:84%
the payoffs in this
smaller subgame

00:17:43.050 --> 00:17:50.930 align:middle line:84%
are actually going to
look basically like these.

00:17:50.930 --> 00:17:52.730 align:middle line:84%
So we can think of
this smaller subgame

00:17:52.730 --> 00:17:57.090 align:middle line:84%
as, well, player 2 is
choosing between A and F,

00:17:57.090 --> 00:17:59.430 align:middle line:84%
and player 1 is choosing
between just T and B.

00:17:59.430 --> 00:18:04.170 align:middle line:84%
So we can ignore the N. And we
can compute what the payoffs are

00:18:04.170 --> 00:18:06.130 align:middle line:84%
for each of those
pairs of actions

00:18:06.130 --> 00:18:07.790 align:middle line:90%
or strategies in this subgame.

00:18:07.790 --> 00:18:14.370 align:middle line:90%


00:18:14.370 --> 00:18:21.950 align:middle line:84%
And we can see that only
our combination of--

00:18:21.950 --> 00:18:24.850 align:middle line:90%


00:18:24.850 --> 00:18:26.470 align:middle line:90%
just look at this subgame.

00:18:26.470 --> 00:18:31.620 align:middle line:90%


00:18:31.620 --> 00:18:35.060 align:middle line:84%
So in this equilibrium
that we found compelling,

00:18:35.060 --> 00:18:40.100 align:middle line:84%
in the subgame, player 1
plays T and player 2 plays A.

00:18:40.100 --> 00:18:42.125 align:middle line:84%
And we can see that
in this subgame, if we

00:18:42.125 --> 00:18:44.500 align:middle line:84%
look at it as a single game,
this will actually be a Nash

00:18:44.500 --> 00:18:46.700 align:middle line:90%
equilibrium of the subgame.

00:18:46.700 --> 00:18:49.220 align:middle line:84%
But if we look at how people
play in this subgame in any

00:18:49.220 --> 00:18:54.820 align:middle line:84%
of these strategies,
TF or BF, these

00:18:54.820 --> 00:19:00.260 align:middle line:84%
will not actually be Nash
equilibrium of the subgame.

00:19:00.260 --> 00:19:03.100 align:middle line:84%
And that's going to be
kind of conceptually what

00:19:03.100 --> 00:19:05.760 align:middle line:84%
violates our notion of subgame
perfect Nash equilibrium.

00:19:05.760 --> 00:19:10.520 align:middle line:84%
So let me try to be a little
more precise about this.

00:19:10.520 --> 00:19:19.180 align:middle line:90%


00:19:19.180 --> 00:19:22.620 align:middle line:90%
So what we can do--

00:19:22.620 --> 00:19:27.730 align:middle line:84%
so let's apply subgame
perfect Nash equilibrium

00:19:27.730 --> 00:19:28.610 align:middle line:90%
to this example.

00:19:28.610 --> 00:19:30.895 align:middle line:84%
I said, we can represent
this as its own subgame,

00:19:30.895 --> 00:19:32.770 align:middle line:84%
but let's be a little
more formal about this.

00:19:32.770 --> 00:19:35.870 align:middle line:84%
We can think of this
as we have player 1.

00:19:35.870 --> 00:19:39.590 align:middle line:84%
They're choosing whether
to exit or enter.

00:19:39.590 --> 00:19:42.190 align:middle line:84%
And if they enter,
we now have a subgame

00:19:42.190 --> 00:19:45.230 align:middle line:84%
which is simultaneous move game,
and we can just think of it

00:19:45.230 --> 00:19:47.090 align:middle line:90%
as a block like this.

00:19:47.090 --> 00:19:55.790 align:middle line:90%


00:19:55.790 --> 00:20:01.090 align:middle line:84%
And indeed, we get 2, 2
negative 2, negative 2.

00:20:01.090 --> 00:20:07.630 align:middle line:90%


00:20:07.630 --> 00:20:09.890 align:middle line:84%
So this is not technically
an extensive form game.

00:20:09.890 --> 00:20:11.570 align:middle line:84%
This is kind of a
heuristic derivation.

00:20:11.570 --> 00:20:14.270 align:middle line:84%
But we can think of what's going
on as after player 1 chooses

00:20:14.270 --> 00:20:16.770 align:middle line:84%
whether to exit
or enter the game,

00:20:16.770 --> 00:20:19.270 align:middle line:84%
then we play this
simultaneous move game.

00:20:19.270 --> 00:20:21.430 align:middle line:84%
And what we would expect,
and what we'd like,

00:20:21.430 --> 00:20:25.400 align:middle line:84%
is that in this
simultaneous move game,

00:20:25.400 --> 00:20:28.160 align:middle line:84%
the players are actually
playing a Nash equilibrium,

00:20:28.160 --> 00:20:30.760 align:middle line:84%
so we can work within this
simultaneous move game

00:20:30.760 --> 00:20:34.300 align:middle line:84%
and figure out what are the
Nash equilibria of this subgame.

00:20:34.300 --> 00:20:42.440 align:middle line:90%


00:20:42.440 --> 00:20:44.300 align:middle line:84%
Well, we apply our
standard procedure.

00:20:44.300 --> 00:20:45.660 align:middle line:90%
We just underline things.

00:20:45.660 --> 00:20:50.040 align:middle line:90%


00:20:50.040 --> 00:20:58.240 align:middle line:84%
And we see that only this
is a Nash equilibrium.

00:20:58.240 --> 00:21:03.140 align:middle line:84%
So we see that TA
is the only one.

00:21:03.140 --> 00:21:06.080 align:middle line:90%


00:21:06.080 --> 00:21:10.080 align:middle line:84%
So if we believe that
once player 1 enters,

00:21:10.080 --> 00:21:13.680 align:middle line:84%
from thereafter, the two players
will play a Nash equilibrium

00:21:13.680 --> 00:21:16.080 align:middle line:84%
in that subgame, then
the only possibility

00:21:16.080 --> 00:21:18.400 align:middle line:90%
is that thereafter they play TA.

00:21:18.400 --> 00:21:20.440 align:middle line:84%
And anticipating that
they're going to play TA,

00:21:20.440 --> 00:21:23.330 align:middle line:84%
its optimal for
player 1 to enter.

00:21:23.330 --> 00:21:26.930 align:middle line:84%
And now we've exactly replicated
our compelling equilibrium

00:21:26.930 --> 00:21:29.130 align:middle line:90%
over here.

00:21:29.130 --> 00:21:32.215 align:middle line:84%
So next I want to describe
this procedure more formally.

00:21:32.215 --> 00:21:34.090 align:middle line:84%
But are there any
questions about the example

00:21:34.090 --> 00:21:39.730 align:middle line:84%
and how we've done this
so far in this reduction?

00:21:39.730 --> 00:21:42.130 align:middle line:90%
No?

00:21:42.130 --> 00:21:42.670 align:middle line:90%
OK.

00:21:42.670 --> 00:21:45.490 align:middle line:90%


00:21:45.490 --> 00:21:50.290 align:middle line:84%
So what I argued is that in
this big extensive form game,

00:21:50.290 --> 00:21:54.490 align:middle line:84%
we could treat a subset of
this game as a game in itself.

00:21:54.490 --> 00:21:56.340 align:middle line:90%
And we call that a subgame.

00:21:56.340 --> 00:21:57.590 align:middle line:90%
And that's what we want to do.

00:21:57.590 --> 00:22:00.450 align:middle line:84%
So the first step to
defining subgame perfect

00:22:00.450 --> 00:22:02.250 align:middle line:84%
Nash equilibrium,
is we first need

00:22:02.250 --> 00:22:14.010 align:middle line:84%
to define subgames of an
extensive form game G.

00:22:14.010 --> 00:22:17.310 align:middle line:84%
And the intuition is--
intuitively it's clear.

00:22:17.310 --> 00:22:20.530 align:middle line:84%
What we want is we want to look
at subsets of the tree that

00:22:20.530 --> 00:22:24.390 align:middle line:84%
would constitute games by
themselves if we thought of them

00:22:24.390 --> 00:22:26.670 align:middle line:90%
separately, all by themselves.

00:22:26.670 --> 00:22:30.230 align:middle line:84%
So what a subgame is
going to consist of,

00:22:30.230 --> 00:22:41.350 align:middle line:84%
is it's going to consist of
a initial-- so a node and all

00:22:41.350 --> 00:22:43.190 align:middle line:90%
its successors.

00:22:43.190 --> 00:22:44.290 align:middle line:90%
So what does that mean?

00:22:44.290 --> 00:22:46.910 align:middle line:90%


00:22:46.910 --> 00:22:48.670 align:middle line:90%
Let's take this as an example.

00:22:48.670 --> 00:22:52.110 align:middle line:84%
I start here at a node,
and I include every node

00:22:52.110 --> 00:22:53.470 align:middle line:90%
that comes after this.

00:22:53.470 --> 00:22:56.150 align:middle line:84%
So that's this node, this node,
all the way to the terminal

00:22:56.150 --> 00:22:59.750 align:middle line:84%
nodes, this node, this
node, this node, this node.

00:22:59.750 --> 00:23:01.770 align:middle line:84%
But we have to have
certain conditions.

00:23:01.770 --> 00:23:05.270 align:middle line:90%


00:23:05.270 --> 00:23:14.590 align:middle line:84%
The initial node has to be
in its own information set.

00:23:14.590 --> 00:23:18.570 align:middle line:84%
Maybe I'll emphasize--
so we have a single--

00:23:18.570 --> 00:23:21.200 align:middle line:90%


00:23:21.200 --> 00:23:25.840 align:middle line:84%
maybe I'll call this the
initial node to give it context.

00:23:25.840 --> 00:23:28.460 align:middle line:84%
So we pick some node, which
will be our initial node,

00:23:28.460 --> 00:23:30.720 align:middle line:84%
and then we include all
successors, all nodes

00:23:30.720 --> 00:23:32.160 align:middle line:90%
that come after that node.

00:23:32.160 --> 00:23:34.080 align:middle line:84%
But then we have
two requirements.

00:23:34.080 --> 00:23:38.920 align:middle line:84%
Our first requirement is
that the initial node is

00:23:38.920 --> 00:23:40.620 align:middle line:90%
in a singleton information set.

00:23:40.620 --> 00:23:50.240 align:middle line:90%


00:23:50.240 --> 00:23:54.080 align:middle line:84%
And this is just to ensure that
this initial node and everything

00:23:54.080 --> 00:23:56.360 align:middle line:84%
that comes after
it would constitute

00:23:56.360 --> 00:23:58.020 align:middle line:90%
a game in its own right.

00:23:58.020 --> 00:24:00.600 align:middle line:84%
Remember, when we defined
an extensive form game,

00:24:00.600 --> 00:24:02.720 align:middle line:84%
one requirement of
extensive form game

00:24:02.720 --> 00:24:04.700 align:middle line:84%
is that it starts
with an initial node,

00:24:04.700 --> 00:24:07.040 align:middle line:84%
and that initial
node is, by itself,

00:24:07.040 --> 00:24:08.800 align:middle line:90%
in its own information set.

00:24:08.800 --> 00:24:11.880 align:middle line:84%
So if we want this node to
serve as the initial node

00:24:11.880 --> 00:24:15.100 align:middle line:84%
of our subgame, it better be
a singleton information set.

00:24:15.100 --> 00:24:18.930 align:middle line:90%


00:24:18.930 --> 00:24:22.970 align:middle line:84%
And then the second
requirement is that the subgame

00:24:22.970 --> 00:24:30.570 align:middle line:90%
doesn't break information sets.

00:24:30.570 --> 00:24:32.390 align:middle line:84%
Let's say what this
means in words.

00:24:32.390 --> 00:24:37.910 align:middle line:90%


00:24:37.910 --> 00:24:39.770 align:middle line:84%
What I mean by that
is I take a node

00:24:39.770 --> 00:24:41.930 align:middle line:90%
and all of its successor nodes.

00:24:41.930 --> 00:24:45.670 align:middle line:84%
I draw a box or a curve
around all these nodes,

00:24:45.670 --> 00:24:48.170 align:middle line:84%
and I need to make sure that
there's no information set that

00:24:48.170 --> 00:24:51.697 align:middle line:84%
includes nodes in this game and
also nodes outside the game.

00:24:51.697 --> 00:24:54.030 align:middle line:84%
That would be what I mean,
breaking the information set.

00:24:54.030 --> 00:24:59.730 align:middle line:90%


00:24:59.730 --> 00:25:03.890 align:middle line:84%
And under these conditions,
we indeed have a subgame.

00:25:03.890 --> 00:25:05.750 align:middle line:90%
So let's note one observation.

00:25:05.750 --> 00:25:08.610 align:middle line:90%


00:25:08.610 --> 00:25:13.590 align:middle line:84%
The entire game is a
particular subgame.

00:25:13.590 --> 00:25:22.780 align:middle line:90%


00:25:22.780 --> 00:25:23.640 align:middle line:90%
How can we see this?

00:25:23.640 --> 00:25:26.820 align:middle line:84%
Why is the entire game
necessarily a subgame?

00:25:26.820 --> 00:25:30.480 align:middle line:84%
What do we choose as our
initial node for this subgame?

00:25:30.480 --> 00:25:33.887 align:middle line:90%


00:25:33.887 --> 00:25:35.720 align:middle line:84%
We just choose the
initial node of the game.

00:25:35.720 --> 00:25:38.500 align:middle line:84%
If we take the initial
node of the game and then

00:25:38.500 --> 00:25:40.060 align:middle line:84%
all its successors,
that's just going

00:25:40.060 --> 00:25:41.520 align:middle line:90%
to be every node in the game.

00:25:41.520 --> 00:25:43.940 align:middle line:84%
And then we have to check
are two conditions satisfied.

00:25:43.940 --> 00:25:46.620 align:middle line:84%
Well, that initial node better
be in a singleton information

00:25:46.620 --> 00:25:49.460 align:middle line:84%
set because that's part of the
definition of an extensive form

00:25:49.460 --> 00:25:50.260 align:middle line:90%
game.

00:25:50.260 --> 00:25:51.945 align:middle line:84%
And it can't break
information sets

00:25:51.945 --> 00:25:53.320 align:middle line:84%
because where else
could they go?

00:25:53.320 --> 00:25:55.460 align:middle line:84%
We're including every
node in the game.

00:25:55.460 --> 00:26:01.180 align:middle line:84%
So let's go back up here and see
which nodes can start a subgame.

00:26:01.180 --> 00:26:03.260 align:middle line:90%
So I'll start here.

00:26:03.260 --> 00:26:06.585 align:middle line:90%
Can this node start a subgame?

00:26:06.585 --> 00:26:07.960 align:middle line:84%
Yes, right, this
is what we said.

00:26:07.960 --> 00:26:10.420 align:middle line:84%
If we start here and look
at everything after it,

00:26:10.420 --> 00:26:11.940 align:middle line:90%
this gives us a subgame.

00:26:11.940 --> 00:26:15.350 align:middle line:84%
And this is precisely
the entire game.

00:26:15.350 --> 00:26:19.970 align:middle line:84%
And maybe when I
say initial node,

00:26:19.970 --> 00:26:23.510 align:middle line:84%
let me say non-terminal node
because I realize we'll get

00:26:23.510 --> 00:26:25.710 align:middle line:90%
some--

00:26:25.710 --> 00:26:27.390 align:middle line:90%
so what about this node?

00:26:27.390 --> 00:26:30.530 align:middle line:84%
Well, I guess we could think of
this as a subgame if we wanted,

00:26:30.530 --> 00:26:32.270 align:middle line:84%
but there's nothing to do once
we're here because we're already

00:26:32.270 --> 00:26:34.530 align:middle line:84%
at a terminal node, so we're not
going to call that a subgame.

00:26:34.530 --> 00:26:35.470 align:middle line:84%
And that's why
we're going to say

00:26:35.470 --> 00:26:37.950 align:middle line:84%
this is-- we have to start
at a non-terminal node.

00:26:37.950 --> 00:26:40.935 align:middle line:90%


00:26:40.935 --> 00:26:42.630 align:middle line:90%
What about this node?

00:26:42.630 --> 00:26:45.722 align:middle line:90%
Can this node start a subgame?

00:26:45.722 --> 00:26:47.930 align:middle line:84%
Yes, right, this is the
subgame we already looked at.

00:26:47.930 --> 00:26:49.050 align:middle line:90%
We started this node.

00:26:49.050 --> 00:26:51.390 align:middle line:84%
We look at everything
that comes after it,

00:26:51.390 --> 00:26:53.790 align:middle line:84%
and we check that our
conditions are satisfied.

00:26:53.790 --> 00:26:56.870 align:middle line:84%
Is this initial node in a
singleton information set?

00:26:56.870 --> 00:26:59.890 align:middle line:84%
Yes, and do we break
any information sets?

00:26:59.890 --> 00:27:01.590 align:middle line:84%
Well, the only
non-singleton information

00:27:01.590 --> 00:27:04.190 align:middle line:84%
set we have to worry about
breaking is this one,

00:27:04.190 --> 00:27:07.430 align:middle line:84%
and we see that it's not
broken, so we're good.

00:27:07.430 --> 00:27:09.010 align:middle line:90%
What about here?

00:27:09.010 --> 00:27:12.310 align:middle line:84%
Does this constitute a
subgame starting at this node?

00:27:12.310 --> 00:27:13.760 align:middle line:90%
And why not?

00:27:13.760 --> 00:27:15.173 align:middle line:90%
AUDIENCE: It breaks infoset.

00:27:15.173 --> 00:27:16.340 align:middle line:90%
IAN BELL: It breaks infoset.

00:27:16.340 --> 00:27:17.880 align:middle line:84%
Actually, it violates
both of our conditions.

00:27:17.880 --> 00:27:19.635 align:middle line:84%
And generally, these
can be intertwined.

00:27:19.635 --> 00:27:21.260 align:middle line:84%
It's going to break
an information set,

00:27:21.260 --> 00:27:23.343 align:middle line:84%
and also, it's not in a
singleton information set.

00:27:23.343 --> 00:27:25.168 align:middle line:90%
So it actually violates both.

00:27:25.168 --> 00:27:26.460 align:middle line:90%
And then the same is true here.

00:27:26.460 --> 00:27:28.800 align:middle line:84%
If we tried to start
a subgame here,

00:27:28.800 --> 00:27:31.760 align:middle line:84%
we'd run into problems because
this initial node is not

00:27:31.760 --> 00:27:33.820 align:middle line:90%
in a singleton information set.

00:27:33.820 --> 00:27:37.840 align:middle line:84%
And we would also break
this information set.

00:27:37.840 --> 00:27:40.940 align:middle line:84%
OK, so this is how
we define subgames.

00:27:40.940 --> 00:27:44.520 align:middle line:84%
And notice, if you're looking
for subgames of a game,

00:27:44.520 --> 00:27:47.298 align:middle line:84%
because every subgame starts
with a non-terminal node,

00:27:47.298 --> 00:27:48.840 align:middle line:84%
the way you can look
for them is just

00:27:48.840 --> 00:27:50.860 align:middle line:84%
go through each
non-terminal node and say,

00:27:50.860 --> 00:27:53.800 align:middle line:84%
can this non-terminal
node start a subgame?

00:27:53.800 --> 00:27:55.080 align:middle line:90%
So start there.

00:27:55.080 --> 00:27:56.760 align:middle line:84%
If we wanted to start
a subgame, we're

00:27:56.760 --> 00:27:59.140 align:middle line:84%
going to have to include every
node that comes after it.

00:27:59.140 --> 00:28:00.760 align:middle line:84%
And then we just
check if we do that,

00:28:00.760 --> 00:28:03.800 align:middle line:84%
do we satisfy these
two conditions?

00:28:03.800 --> 00:28:05.965 align:middle line:84%
So this is how we
identify subgames.

00:28:05.965 --> 00:28:07.840 align:middle line:84%
And now that we understand
what a subgame is,

00:28:07.840 --> 00:28:11.700 align:middle line:84%
we can define what subgame
perfect Nash equilibrium is.

00:28:11.700 --> 00:28:15.200 align:middle line:84%
So here we'll give
our definition.

00:28:15.200 --> 00:28:19.300 align:middle line:90%


00:28:19.300 --> 00:28:23.860 align:middle line:84%
So here we're given an
extensive-form game.

00:28:23.860 --> 00:28:34.420 align:middle line:84%
So let's say we're given an
extensive-form game G. Remember,

00:28:34.420 --> 00:28:36.100 align:middle line:84%
Nash equilibrium
could be applied

00:28:36.100 --> 00:28:37.980 align:middle line:90%
to a strategic-form game.

00:28:37.980 --> 00:28:40.420 align:middle line:84%
Subgame perfect Nash
equilibrium requires

00:28:40.420 --> 00:28:42.700 align:middle line:84%
us to look at the structure
of the extensive form.

00:28:42.700 --> 00:28:45.660 align:middle line:84%
So we have to be given an
extensive-form game here, not

00:28:45.660 --> 00:28:47.380 align:middle line:90%
a strategic form game.

00:28:47.380 --> 00:28:49.200 align:middle line:84%
And we're given an
extensive-form game.

00:28:49.200 --> 00:28:58.480 align:middle line:84%
We say that a strategy
profile, S star--

00:28:58.480 --> 00:29:04.940 align:middle line:90%


00:29:04.940 --> 00:29:08.220 align:middle line:84%
so what we're interested in
is a strategy profile NG.

00:29:08.220 --> 00:29:10.750 align:middle line:84%
Let's remember what a
strategy profile is.

00:29:10.750 --> 00:29:13.590 align:middle line:84%
It specifies a strategy
for every player.

00:29:13.590 --> 00:29:15.870 align:middle line:84%
And remember, in an
extensive-form game,

00:29:15.870 --> 00:29:16.662 align:middle line:90%
what is a strategy?

00:29:16.662 --> 00:29:18.078 align:middle line:84%
Do you remember
what is a strategy

00:29:18.078 --> 00:29:19.290 align:middle line:90%
in an extensive-form game?

00:29:19.290 --> 00:29:22.930 align:middle line:90%


00:29:22.930 --> 00:29:23.430 align:middle line:90%
Yeah?

00:29:23.430 --> 00:29:26.055 align:middle line:84%
AUDIENCE: I believe you define
it as a move for every info set?

00:29:26.055 --> 00:29:27.472 align:middle line:84%
IAN BELL: Exactly,
it's a function

00:29:27.472 --> 00:29:29.510 align:middle line:84%
or a vector that says
for every information

00:29:29.510 --> 00:29:32.330 align:middle line:84%
set, what action or move do we
take at that information set?

00:29:32.330 --> 00:29:34.455 align:middle line:84%
So I'm not going to include
that on the board here.

00:29:34.455 --> 00:29:36.830 align:middle line:84%
But just keep in mind,
that's what a strategy

00:29:36.830 --> 00:29:40.190 align:middle line:90%
is in an extensive-form game.

00:29:40.190 --> 00:29:45.110 align:middle line:84%
Is a, maybe I'll just
write S, P, and E,

00:29:45.110 --> 00:29:50.470 align:middle line:84%
so subgame perfect
Nash equilibrium if--

00:29:50.470 --> 00:29:53.430 align:middle line:84%
well, intuitively
what do we want?

00:29:53.430 --> 00:29:57.950 align:middle line:84%
We want to look at every
subgame of our game.

00:29:57.950 --> 00:29:59.950 align:middle line:84%
And then we want to look
at our strategy profile

00:29:59.950 --> 00:30:01.180 align:middle line:90%
within that subgame.

00:30:01.180 --> 00:30:03.430 align:middle line:84%
And we want to check that
that would constitute a Nash

00:30:03.430 --> 00:30:06.350 align:middle line:90%
equilibrium within that subgame.

00:30:06.350 --> 00:30:17.440 align:middle line:84%
So let's say if for every
subgame G prime of G--

00:30:17.440 --> 00:30:19.900 align:middle line:84%
so I'm going to impose a
requirement on every subgame.

00:30:19.900 --> 00:30:21.317 align:middle line:84%
And we've already
gone through how

00:30:21.317 --> 00:30:24.760 align:middle line:84%
we can identify all our subgames
by looking at all the nodes.

00:30:24.760 --> 00:30:29.040 align:middle line:84%
For every subgame G
prime of G, well, we

00:30:29.040 --> 00:30:33.785 align:middle line:84%
want to say that S star is a
Nash equilibrium of the subgame.

00:30:33.785 --> 00:30:35.160 align:middle line:84%
So at first, you
might be tempted

00:30:35.160 --> 00:30:44.040 align:middle line:84%
to say S star is a Nash
equilibrium of g prime.

00:30:44.040 --> 00:30:46.300 align:middle line:84%
And that's basically
what we want to say.

00:30:46.300 --> 00:30:48.920 align:middle line:90%
But there's an issue here.

00:30:48.920 --> 00:30:53.000 align:middle line:84%
If S star is supposed to be a
Nash equilibrium of G prime,

00:30:53.000 --> 00:30:55.480 align:middle line:84%
well, the problem is that
then that S star must

00:30:55.480 --> 00:30:58.560 align:middle line:90%
be a strategy profile NG prime.

00:30:58.560 --> 00:31:01.440 align:middle line:84%
But S is not a strategy
profile necessarily NG prime.

00:31:01.440 --> 00:31:04.120 align:middle line:90%
It's a strategy profile NG.

00:31:04.120 --> 00:31:07.970 align:middle line:84%
So S star tells us what we
do at information sets that

00:31:07.970 --> 00:31:09.418 align:middle line:90%
may not be in the subgame.

00:31:09.418 --> 00:31:11.210 align:middle line:84%
So we just have to be
a little more careful

00:31:11.210 --> 00:31:13.610 align:middle line:90%
and say, well, let's look here.

00:31:13.610 --> 00:31:15.610 align:middle line:84%
I think we all
know what we mean.

00:31:15.610 --> 00:31:19.250 align:middle line:84%
We want the play specified
by this strategy profile

00:31:19.250 --> 00:31:21.150 align:middle line:84%
to be a Nash
equilibrium down here.

00:31:21.150 --> 00:31:22.810 align:middle line:84%
But of course, we
can ignore what's

00:31:22.810 --> 00:31:25.370 align:middle line:84%
done up here because this
is not part of that subgame.

00:31:25.370 --> 00:31:31.730 align:middle line:84%
So I'll use the notation, maybe,
S star restricted to G prime.

00:31:31.730 --> 00:31:33.615 align:middle line:84%
And this is just, I
don't want to really go

00:31:33.615 --> 00:31:34.990 align:middle line:84%
through formally
the definitions,

00:31:34.990 --> 00:31:37.323 align:middle line:84%
because I think it just makes
it seem harder than it is.

00:31:37.323 --> 00:31:39.930 align:middle line:84%
But we only look at the parts
of the strategies that are

00:31:39.930 --> 00:31:41.850 align:middle line:90%
relevant inside the subgame.

00:31:41.850 --> 00:31:50.130 align:middle line:84%
So we might call this
the restriction of S star

00:31:50.130 --> 00:31:51.170 align:middle line:90%
to G prime.

00:31:51.170 --> 00:31:53.890 align:middle line:84%
And remember, since we
said a strategy specifies

00:31:53.890 --> 00:31:56.228 align:middle line:84%
a move at every
information set, here we're

00:31:56.228 --> 00:31:57.770 align:middle line:84%
only going to keep
track of the moves

00:31:57.770 --> 00:32:00.670 align:middle line:84%
that information sets that
are contained NG prime.

00:32:00.670 --> 00:32:04.380 align:middle line:90%


00:32:04.380 --> 00:32:06.800 align:middle line:84%
Again, this is a graduate
game theory class.

00:32:06.800 --> 00:32:08.680 align:middle line:84%
We get really formal
about introducing

00:32:08.680 --> 00:32:10.680 align:middle line:84%
notation for all these
things and what it means,

00:32:10.680 --> 00:32:13.740 align:middle line:84%
but I think it's pretty
clear conceptually what

00:32:13.740 --> 00:32:14.600 align:middle line:90%
these things mean.

00:32:14.600 --> 00:32:18.180 align:middle line:90%


00:32:18.180 --> 00:32:26.420 align:middle line:84%
So first question if we
have a subgame perfect Nash

00:32:26.420 --> 00:32:29.740 align:middle line:84%
equilibrium, do we know
it's a Nash equilibrium?

00:32:29.740 --> 00:32:33.960 align:middle line:84%
So if we have a subgame
perfect Nash equilibrium,

00:32:33.960 --> 00:32:36.240 align:middle line:84%
does that imply that something
is a Nash equilibrium?

00:32:36.240 --> 00:32:38.020 align:middle line:90%
So give me a strategy profile.

00:32:38.020 --> 00:32:41.060 align:middle line:84%
Suppose I know it's a subgame
perfect Nash equilibrium.

00:32:41.060 --> 00:32:43.795 align:middle line:84%
Do I know that it's
necessarily a Nash equilibrium.

00:32:43.795 --> 00:32:45.920 align:middle line:84%
And maybe a better way,
instead of the implication,

00:32:45.920 --> 00:32:47.780 align:middle line:90%
let's just do this graphically.

00:32:47.780 --> 00:32:52.300 align:middle line:84%
So what we want to say is it
the case that the set of SPNE

00:32:52.300 --> 00:32:55.160 align:middle line:84%
is a subset of the set
of Nash equilibrium?

00:32:55.160 --> 00:32:57.860 align:middle line:90%


00:32:57.860 --> 00:33:00.420 align:middle line:90%
So we'd like that to be true.

00:33:00.420 --> 00:33:02.600 align:middle line:84%
Just like when we came
over here, we said,

00:33:02.600 --> 00:33:04.470 align:middle line:84%
there's a lot of
Nash equilibria,

00:33:04.470 --> 00:33:06.870 align:middle line:84%
and we wanted the subgame
perfect Nash equilibrium

00:33:06.870 --> 00:33:09.050 align:middle line:84%
to be a special one of
those Nash equilibria.

00:33:09.050 --> 00:33:12.150 align:middle line:84%
So of course, they
could agree, but we

00:33:12.150 --> 00:33:14.350 align:middle line:84%
want to make sure that
every subgame perfect Nash

00:33:14.350 --> 00:33:16.933 align:middle line:84%
equilibrium, the point is, we
want it to be a Nash equilibrium

00:33:16.933 --> 00:33:19.430 align:middle line:84%
and satisfy these
stronger assumptions.

00:33:19.430 --> 00:33:21.673 align:middle line:84%
So it should be a
Nash equilibrium.

00:33:21.673 --> 00:33:23.590 align:middle line:84%
How can we see that this
is a Nash equilibrium

00:33:23.590 --> 00:33:26.790 align:middle line:90%
from the definition?

00:33:26.790 --> 00:33:29.178 align:middle line:90%
So this doesn't require--

00:33:29.178 --> 00:33:29.970 align:middle line:90%
you have to see it.

00:33:29.970 --> 00:33:31.330 align:middle line:90%
But there's not a long argument.

00:33:31.330 --> 00:33:32.122 align:middle line:90%
It's pretty simple.

00:33:32.122 --> 00:33:32.630 align:middle line:90%
Yeah?

00:33:32.630 --> 00:33:34.070 align:middle line:90%
AUDIENCE: G is a subgame of G.

00:33:34.070 --> 00:33:37.190 align:middle line:84%
IAN BELL: Right, so
why is this true?

00:33:37.190 --> 00:33:41.690 align:middle line:90%
Well, G prime G is a subgame.

00:33:41.690 --> 00:33:44.670 align:middle line:90%


00:33:44.670 --> 00:33:46.750 align:middle line:90%
So let's look at our definition.

00:33:46.750 --> 00:33:50.990 align:middle line:84%
Our definition says for every
subgame, this statement holds.

00:33:50.990 --> 00:33:53.510 align:middle line:84%
So in particular, it holds
for the special subgame G

00:33:53.510 --> 00:33:55.510 align:middle line:90%
prime equals G.

00:33:55.510 --> 00:34:00.030 align:middle line:84%
So if we plug that in, it says
the restriction of S star to G

00:34:00.030 --> 00:34:03.840 align:middle line:84%
is a Nash equilibrium of G.
But what is the restriction

00:34:03.840 --> 00:34:05.600 align:middle line:90%
of the strategy profile to G?

00:34:05.600 --> 00:34:07.520 align:middle line:84%
It's just the strategy
profile itself

00:34:07.520 --> 00:34:09.800 align:middle line:90%
because G is the entire game.

00:34:09.800 --> 00:34:12.080 align:middle line:84%
So this is stronger
than Nash equilibrium,

00:34:12.080 --> 00:34:16.360 align:middle line:84%
but it implies Nash
equilibrium, OK.

00:34:16.360 --> 00:34:24.719 align:middle line:90%


00:34:24.719 --> 00:34:27.360 align:middle line:84%
Let's maybe go
through some examples

00:34:27.360 --> 00:34:30.040 align:middle line:84%
to see how we would
approach this.

00:34:30.040 --> 00:34:32.580 align:middle line:90%
Let me come down here.

00:34:32.580 --> 00:34:50.360 align:middle line:90%


00:34:50.360 --> 00:34:52.699 align:middle line:84%
Are there any questions
before I go to the examples?

00:34:52.699 --> 00:34:55.400 align:middle line:90%


00:34:55.400 --> 00:34:57.780 align:middle line:90%
So let's do one more example.

00:34:57.780 --> 00:35:10.420 align:middle line:84%
And this is going to be a
variant of our Boston game,

00:35:10.420 --> 00:35:15.320 align:middle line:84%
where first, we're
going to have player 1.

00:35:15.320 --> 00:35:21.180 align:middle line:90%


00:35:21.180 --> 00:35:22.980 align:middle line:84%
And they can choose
maybe again, I'll

00:35:22.980 --> 00:35:25.100 align:middle line:90%
call it entering and exiting.

00:35:25.100 --> 00:35:34.660 align:middle line:84%
And if they exit, we'll
say both players get 1.5.

00:35:34.660 --> 00:35:37.113 align:middle line:84%
So we're going to
think of exiting.

00:35:37.113 --> 00:35:39.280 align:middle line:84%
Well, this is just really
to illustrate the concept.

00:35:39.280 --> 00:35:41.090 align:middle line:84%
But this means we're
not really going

00:35:41.090 --> 00:35:43.260 align:middle line:84%
to-- we're going to do
some alternative activity,

00:35:43.260 --> 00:35:45.838 align:middle line:84%
rather than the Red Sox
or the Celtics game.

00:35:45.838 --> 00:35:47.880 align:middle line:84%
But then if they enter,
then we're going to play.

00:35:47.880 --> 00:35:50.940 align:middle line:84%
This is like they say they're
sick, and they just stay home.

00:35:50.940 --> 00:35:54.260 align:middle line:84%
So now we're going to
have, let's say, player 2

00:35:54.260 --> 00:35:56.420 align:middle line:90%
is going to move--

00:35:56.420 --> 00:35:59.390 align:middle line:90%
choose Celtics or Red Sox.

00:35:59.390 --> 00:36:04.670 align:middle line:84%
And then player 1, not
observing what player 2 does,

00:36:04.670 --> 00:36:08.258 align:middle line:84%
is going to choose
Celtics or Red Sox.

00:36:08.258 --> 00:36:10.550 align:middle line:84%
And we're going to follow
our convention that, I think,

00:36:10.550 --> 00:36:13.310 align:middle line:84%
player one prefers
Celtics to Red Sox,

00:36:13.310 --> 00:36:21.790 align:middle line:84%
so we're going to
have 2, 1 1,2 0, 0.

00:36:21.790 --> 00:36:24.030 align:middle line:90%
Zero.

00:36:24.030 --> 00:36:29.510 align:middle line:84%
So now let's try to compute
the SPNE of this game.

00:36:29.510 --> 00:36:38.070 align:middle line:84%
So here's kind of a
recipe for solving SPNE.

00:36:38.070 --> 00:36:40.290 align:middle line:84%
Step one is always
identify the subgames.

00:36:40.290 --> 00:36:50.390 align:middle line:90%


00:36:50.390 --> 00:36:55.610 align:middle line:84%
So how many subgames
does this game have?

00:36:55.610 --> 00:36:58.280 align:middle line:90%


00:36:58.280 --> 00:36:59.540 align:middle line:90%
Can we identify the subgames?

00:36:59.540 --> 00:37:02.280 align:middle line:90%
Well, let's go through.

00:37:02.280 --> 00:37:04.080 align:middle line:84%
Starting here is
definitely a subgame

00:37:04.080 --> 00:37:06.760 align:middle line:84%
because the entire game
is always a subgame.

00:37:06.760 --> 00:37:09.380 align:middle line:84%
This doesn't start a subgame
because this is a terminal node.

00:37:09.380 --> 00:37:11.640 align:middle line:90%
So we can't start here.

00:37:11.640 --> 00:37:14.280 align:middle line:84%
This node will start a
subgame because if we

00:37:14.280 --> 00:37:17.200 align:middle line:84%
go here and everything
below it, then we

00:37:17.200 --> 00:37:19.600 align:middle line:84%
have a single node by
itself, and we're not

00:37:19.600 --> 00:37:24.460 align:middle line:84%
going to break any information
sets if we go like that,

00:37:24.460 --> 00:37:26.280 align:middle line:90%
so that looks good.

00:37:26.280 --> 00:37:27.380 align:middle line:90%
What about this node here?

00:37:27.380 --> 00:37:29.200 align:middle line:90%
Does this start a subgame?

00:37:29.200 --> 00:37:31.090 align:middle line:84%
No, because this
is not a singleton.

00:37:31.090 --> 00:37:33.340 align:middle line:84%
And then similarly down here,
this is not a singleton.

00:37:33.340 --> 00:37:35.200 align:middle line:84%
So it actually is exactly
the same structure

00:37:35.200 --> 00:37:36.720 align:middle line:90%
as this game over here.

00:37:36.720 --> 00:37:38.940 align:middle line:84%
So in this case, we're
going to have two subgames.

00:37:38.940 --> 00:37:43.640 align:middle line:90%


00:37:43.640 --> 00:37:47.560 align:middle line:84%
And then a good
approach, step two

00:37:47.560 --> 00:37:50.660 align:middle line:84%
is to work backwards, just like
we did with backward induction.

00:37:50.660 --> 00:37:52.960 align:middle line:84%
So we want to start with
the smallest subgames

00:37:52.960 --> 00:37:56.530 align:middle line:84%
and try to solve for an
equilibrium within that subgame

00:37:56.530 --> 00:37:58.110 align:middle line:84%
and then kind of
build up backwards.

00:37:58.110 --> 00:38:00.510 align:middle line:84%
So step two is going to
be, let's work backwards.

00:38:00.510 --> 00:38:07.730 align:middle line:90%


00:38:07.730 --> 00:38:09.570 align:middle line:90%
So let's see how that works.

00:38:09.570 --> 00:38:13.370 align:middle line:84%
Well, here, working
backwards is pretty easy

00:38:13.370 --> 00:38:14.810 align:middle line:84%
because there's
only two subgames.

00:38:14.810 --> 00:38:16.310 align:middle line:84%
So we certainly
know where to start.

00:38:16.310 --> 00:38:19.330 align:middle line:84%
If we want to work backwards, we
want to start with this subgame.

00:38:19.330 --> 00:38:23.010 align:middle line:84%
So let's look at this
subgame, and let's represent

00:38:23.010 --> 00:38:27.810 align:middle line:90%
this in strategic form.

00:38:27.810 --> 00:38:33.050 align:middle line:84%
So we have Celtics, Red
Sox, Celtics, Red Sox.

00:38:33.050 --> 00:38:35.930 align:middle line:84%
Player 1 is choosing
between Celtics and Red Sox.

00:38:35.930 --> 00:38:38.030 align:middle line:84%
Player 2 is choosing
between Celtics and Red Sox.

00:38:38.030 --> 00:38:40.490 align:middle line:84%
And we know the payoffs are
just like the Boston game

00:38:40.490 --> 00:38:41.510 align:middle line:90%
we studied before.

00:38:41.510 --> 00:38:47.010 align:middle line:90%


00:38:47.010 --> 00:38:51.810 align:middle line:84%
So this subgame
of the larger game

00:38:51.810 --> 00:38:54.957 align:middle line:84%
reduces to a very simple,
simultaneous move game

00:38:54.957 --> 00:38:56.540 align:middle line:84%
that we can think
of in strategic form

00:38:56.540 --> 00:38:58.340 align:middle line:90%
that we've already analyzed.

00:38:58.340 --> 00:39:02.680 align:middle line:84%
So what are the Nash
equilibria of this game?

00:39:02.680 --> 00:39:03.560 align:middle line:90%
Let's look at pure.

00:39:03.560 --> 00:39:05.310 align:middle line:84%
We could also talk
about mixed strategies,

00:39:05.310 --> 00:39:07.663 align:middle line:84%
but let's focus on pure
strategies for now.

00:39:07.663 --> 00:39:09.580 align:middle line:84%
This is the game we've
already analyzed, yeah?

00:39:09.580 --> 00:39:10.660 align:middle line:90%
AUDIENCE: CC and RR.

00:39:10.660 --> 00:39:12.940 align:middle line:84%
IAN BELL: Great, so we
have two Nash equilibria.

00:39:12.940 --> 00:39:16.780 align:middle line:90%
We have CC and RR, right?

00:39:16.780 --> 00:39:19.540 align:middle line:84%
So notice this is actually a
pretty important difference

00:39:19.540 --> 00:39:23.412 align:middle line:84%
with backward induction applied
to perfect information games.

00:39:23.412 --> 00:39:25.620 align:middle line:84%
When we did backward induction
to perfect information

00:39:25.620 --> 00:39:27.880 align:middle line:84%
games, most of the time,
we didn't have ties.

00:39:27.880 --> 00:39:31.300 align:middle line:84%
We didn't have multiple
solutions because at each point,

00:39:31.300 --> 00:39:32.958 align:middle line:84%
a single player
was making a move.

00:39:32.958 --> 00:39:35.000 align:middle line:84%
And generally one move
was better than the other,

00:39:35.000 --> 00:39:36.220 align:middle line:90%
and we just selected that.

00:39:36.220 --> 00:39:38.320 align:middle line:84%
But here, when we're
working backwards,

00:39:38.320 --> 00:39:40.580 align:middle line:84%
we're working at the level
of an entire subgame.

00:39:40.580 --> 00:39:43.700 align:middle line:84%
And we know that generally
games can have many equilibria.

00:39:43.700 --> 00:39:45.840 align:middle line:84%
So when we work backwards,
what we're going to do,

00:39:45.840 --> 00:39:48.900 align:middle line:84%
if we wanted to find all
of the Nash equilibria

00:39:48.900 --> 00:39:51.550 align:middle line:84%
that are subgame
perfect, we'd actually

00:39:51.550 --> 00:39:53.070 align:middle line:90%
need to make a choice here.

00:39:53.070 --> 00:39:56.150 align:middle line:84%
We need to first try this and
then work backwards and see

00:39:56.150 --> 00:39:56.953 align:middle line:90%
what happens.

00:39:56.953 --> 00:39:59.370 align:middle line:84%
And then try this and work
backwards and see what happens.

00:39:59.370 --> 00:40:02.110 align:middle line:84%
And in the end, we may find
multiple subgame perfect Nash

00:40:02.110 --> 00:40:02.890 align:middle line:90%
equilibrium.

00:40:02.890 --> 00:40:07.070 align:middle line:84%
So by working backwards, we
start at our smallest subgame.

00:40:07.070 --> 00:40:10.530 align:middle line:84%
We choose a Nash
equilibrium of that subgame

00:40:10.530 --> 00:40:11.890 align:middle line:90%
and then we work backwards.

00:40:11.890 --> 00:40:12.830 align:middle line:84%
And then we have
to do it all over

00:40:12.830 --> 00:40:14.090 align:middle line:90%
again with a different choice.

00:40:14.090 --> 00:40:16.632 align:middle line:84%
So you can see, eventually this
could get pretty complicated.

00:40:16.632 --> 00:40:19.230 align:middle line:90%
So let's first make choice one.

00:40:19.230 --> 00:40:20.930 align:middle line:84%
So here, we have
two choices, right?

00:40:20.930 --> 00:40:24.710 align:middle line:90%


00:40:24.710 --> 00:40:29.830 align:middle line:84%
So the first choice would
be CC, and the second choice

00:40:29.830 --> 00:40:32.010 align:middle line:90%
would be RR, in this subgame.

00:40:32.010 --> 00:40:36.750 align:middle line:90%


00:40:36.750 --> 00:40:39.870 align:middle line:84%
Well now, let's start
with our first choice, CC.

00:40:39.870 --> 00:40:41.950 align:middle line:84%
And we'll do what we did
in backward induction is

00:40:41.950 --> 00:40:45.550 align:middle line:84%
we'll treat this subgame as
if once we reach this subgame,

00:40:45.550 --> 00:40:46.830 align:middle line:90%
this is what happens.

00:40:46.830 --> 00:40:51.890 align:middle line:84%
So let's highlight CC is
going to take us down here.

00:40:51.890 --> 00:40:53.850 align:middle line:84%
So now let's move a
step back and look

00:40:53.850 --> 00:40:55.970 align:middle line:90%
at the choice for player 1.

00:40:55.970 --> 00:41:00.850 align:middle line:84%
So player 1, anticipating that
if we get to this subgame,

00:41:00.850 --> 00:41:03.330 align:middle line:84%
CC is going to be played,
and therefore, the payoff

00:41:03.330 --> 00:41:08.423 align:middle line:84%
is going to be 2, 1, does
player 1 want to exit or enter?

00:41:08.423 --> 00:41:09.170 align:middle line:90%
AUDIENCE: Enter.

00:41:09.170 --> 00:41:12.410 align:middle line:84%
IAN BELL: They want
to enter, right?

00:41:12.410 --> 00:41:15.250 align:middle line:84%
So now when you make choice
one, and we work backwards,

00:41:15.250 --> 00:41:20.370 align:middle line:84%
we see that player
1 wants to enter.

00:41:20.370 --> 00:41:23.810 align:middle line:84%
And now we have one subgame
perfect Nash equilibrium.

00:41:23.810 --> 00:41:25.910 align:middle line:84%
But we have to be
careful to write it down.

00:41:25.910 --> 00:41:26.410 align:middle line:90%
Let's see.

00:41:26.410 --> 00:41:28.370 align:middle line:84%
What is player
1's full strategy?

00:41:28.370 --> 00:41:31.050 align:middle line:84%
Well, player 1 is
going to enter here,

00:41:31.050 --> 00:41:33.710 align:middle line:84%
and they're going to
choose C down here.

00:41:33.710 --> 00:41:36.250 align:middle line:84%
So remember at the end, we
want a strategy profile.

00:41:36.250 --> 00:41:40.390 align:middle line:84%
So our strategy profile
is going to be this.

00:41:40.390 --> 00:41:42.250 align:middle line:84%
We have to list how
player 1 is going

00:41:42.250 --> 00:41:43.930 align:middle line:90%
to behave at every contingency.

00:41:43.930 --> 00:41:46.690 align:middle line:84%
At this contingency
they're going to enter.

00:41:46.690 --> 00:41:49.140 align:middle line:84%
At this contingency,
they're going to play C.

00:41:49.140 --> 00:41:51.980 align:middle line:84%
And actually, I should have
highlighted this as well.

00:41:51.980 --> 00:41:53.640 align:middle line:84%
Even though it doesn't
affect payoffs,

00:41:53.640 --> 00:41:58.420 align:middle line:84%
remember, if player
1 is choosing C,

00:41:58.420 --> 00:42:01.118 align:middle line:84%
then they have to make the
same choice at every node

00:42:01.118 --> 00:42:02.160 align:middle line:90%
of their information set.

00:42:02.160 --> 00:42:03.577 align:middle line:84%
So I should have
highlighted this.

00:42:03.577 --> 00:42:06.500 align:middle line:90%
Let me make that clear.

00:42:06.500 --> 00:42:08.900 align:middle line:90%
So player 1 chooses N here.

00:42:08.900 --> 00:42:11.260 align:middle line:84%
They choose C at
this information set.

00:42:11.260 --> 00:42:13.760 align:middle line:84%
So we get NC as the
strategy for player 1.

00:42:13.760 --> 00:42:16.380 align:middle line:84%
And then for player
2, we just get C.

00:42:16.380 --> 00:42:18.760 align:middle line:84%
Now let's go through
the same procedure,

00:42:18.760 --> 00:42:22.460 align:middle line:84%
making a different choice of
our equilibrium in this subgame.

00:42:22.460 --> 00:42:25.180 align:middle line:90%
So now our choice is RR.

00:42:25.180 --> 00:42:26.640 align:middle line:90%
I don't want to mess up.

00:42:26.640 --> 00:42:28.190 align:middle line:84%
I'd have to redraw
the graph, so it's

00:42:28.190 --> 00:42:29.440 align:middle line:90%
going to be too hard to erase.

00:42:29.440 --> 00:42:30.815 align:middle line:84%
So let's just do
it in our heads.

00:42:30.815 --> 00:42:36.380 align:middle line:84%
If we choose RR, then upon
reaching this subgame, we go RR,

00:42:36.380 --> 00:42:38.740 align:middle line:90%
The payoff is going to be 1, 2.

00:42:38.740 --> 00:42:41.960 align:middle line:84%
So now when we take a step
back, and we look at player 1,

00:42:41.960 --> 00:42:44.680 align:middle line:90%
what is optimal for player 1?

00:42:44.680 --> 00:42:45.180 align:middle line:90%
Yeah?

00:42:45.180 --> 00:42:45.805 align:middle line:90%
AUDIENCE: Exit.

00:42:45.805 --> 00:42:48.110 align:middle line:84%
IAN BELL: They want
to exit because 1.5

00:42:48.110 --> 00:42:50.150 align:middle line:90%
is a higher payoff than 1, 2.

00:42:50.150 --> 00:42:52.630 align:middle line:84%
So now when I go back,
I'm going to get exit.

00:42:52.630 --> 00:42:54.310 align:middle line:84%
And now if I put
it all together,

00:42:54.310 --> 00:42:57.470 align:middle line:84%
what is the complete
contingent plan for player 1?

00:42:57.470 --> 00:43:02.970 align:middle line:84%
It's exit at this node
and play R at this point.

00:43:02.970 --> 00:43:14.130 align:middle line:90%


00:43:14.130 --> 00:43:18.870 align:middle line:84%
Now, so great, in this game, we
found two subgame perfect Nash

00:43:18.870 --> 00:43:20.830 align:middle line:90%
equilibria.

00:43:20.830 --> 00:43:24.310 align:middle line:84%
But there could be some
other Nash equilibria

00:43:24.310 --> 00:43:25.730 align:middle line:90%
that aren't subgame perfect.

00:43:25.730 --> 00:43:28.670 align:middle line:90%


00:43:28.670 --> 00:43:33.425 align:middle line:84%
Can anyone see an example
of a Nash equilibrium

00:43:33.425 --> 00:43:35.050 align:middle line:84%
that's not going to
be subgame perfect?

00:43:35.050 --> 00:43:37.010 align:middle line:90%
Maybe, it's a bit tricky.

00:43:37.010 --> 00:43:38.410 align:middle line:84%
But let's just
look at this here.

00:43:38.410 --> 00:43:43.310 align:middle line:84%
Let's focus on this subgame
perfect Nash equilibrium.

00:43:43.310 --> 00:43:51.920 align:middle line:84%
We know that if
player 1 exits, we

00:43:51.920 --> 00:43:53.760 align:middle line:84%
might say, well, if
they're going to exit,

00:43:53.760 --> 00:43:56.920 align:middle line:84%
it doesn't really matter
what they do down here.

00:43:56.920 --> 00:43:58.720 align:middle line:84%
So you might be tempted
to say, let's look

00:43:58.720 --> 00:44:02.440 align:middle line:84%
at a different
strategy profile, say,

00:44:02.440 --> 00:44:11.543 align:middle line:84%
X C, R. And let's check if
this is going to be a Nash

00:44:11.543 --> 00:44:13.960 align:middle line:84%
equilibrium, or if it's going
to be a subgame perfect Nash

00:44:13.960 --> 00:44:14.505 align:middle line:90%
equilibrium?

00:44:14.505 --> 00:44:16.880 align:middle line:84%
So we don't think it's going
to be a subgame perfect Nash

00:44:16.880 --> 00:44:19.900 align:middle line:84%
equilibrium because it didn't
get spit out of this procedure.

00:44:19.900 --> 00:44:22.400 align:middle line:84%
But let's see if it's going
to be a Nash equilibrium.

00:44:22.400 --> 00:44:27.480 align:middle line:84%
Given that player 1 is
playing XC as their strategy,

00:44:27.480 --> 00:44:32.080 align:middle line:84%
can player 2 do any
better than choosing R?

00:44:32.080 --> 00:44:34.120 align:middle line:84%
So does player 2 have
a profitable deviation

00:44:34.120 --> 00:44:35.180 align:middle line:90%
from this strategy?

00:44:35.180 --> 00:44:38.320 align:middle line:90%


00:44:38.320 --> 00:44:39.220 align:middle line:90%
Why, why not?

00:44:39.220 --> 00:44:43.287 align:middle line:90%


00:44:43.287 --> 00:44:43.870 align:middle line:90%
Thoughts here?

00:44:43.870 --> 00:44:44.370 align:middle line:90%
Yeah?

00:44:44.370 --> 00:44:46.247 align:middle line:84%
AUDIENCE: Player 2
doesn't have a choice.

00:44:46.247 --> 00:44:48.830 align:middle line:84%
IAN BELL: Right, I mean, they
have a complete contingent plan,

00:44:48.830 --> 00:44:52.050 align:middle line:84%
but if player 1 is
playing X, then we're

00:44:52.050 --> 00:44:54.570 align:middle line:84%
definitely going to end up
here whatever player 2 does.

00:44:54.570 --> 00:44:56.690 align:middle line:84%
So if player 2 were
to deviate, the payoff

00:44:56.690 --> 00:44:58.450 align:middle line:90%
would be exactly the same.

00:44:58.450 --> 00:45:01.570 align:middle line:84%
And that means that any
deviation by player 2,

00:45:01.570 --> 00:45:03.210 align:middle line:90%
will not be profitable.

00:45:03.210 --> 00:45:05.570 align:middle line:84%
No deviation is profitable,
so player 2 does not

00:45:05.570 --> 00:45:08.610 align:middle line:90%
have a profitable deviation.

00:45:08.610 --> 00:45:09.950 align:middle line:90%
What about player 1?

00:45:09.950 --> 00:45:11.910 align:middle line:84%
Does player 1 have a
profitable deviation?

00:45:11.910 --> 00:45:28.130 align:middle line:90%


00:45:28.130 --> 00:45:29.250 align:middle line:90%
Any thoughts, yeah?

00:45:29.250 --> 00:45:31.630 align:middle line:84%
AUDIENCE: Player 2 has
to make R [INAUDIBLE].

00:45:31.630 --> 00:45:33.370 align:middle line:84%
IAN BELL: And let's
see why that is.

00:45:33.370 --> 00:45:35.130 align:middle line:84%
So we have to be
pretty careful here.

00:45:35.130 --> 00:45:38.130 align:middle line:84%
If player 2 is playing
R, well by exiting,

00:45:38.130 --> 00:45:40.660 align:middle line:90%
I'm getting a payoff of 1.5.

00:45:40.660 --> 00:45:42.180 align:middle line:90%
Could I ever do better?

00:45:42.180 --> 00:45:44.700 align:middle line:84%
Well, I could enter
and then play C.

00:45:44.700 --> 00:45:49.420 align:middle line:84%
So if I enter, player 2 plays R
and then I play C, I get 0, 0.

00:45:49.420 --> 00:45:52.460 align:middle line:84%
That's definitely worse, but I
think I have a better deviation.

00:45:52.460 --> 00:45:56.080 align:middle line:84%
What is my better
deviation going to be?

00:45:56.080 --> 00:45:56.580 align:middle line:90%
Yeah?

00:45:56.580 --> 00:45:57.380 align:middle line:90%
AUDIENCE: 3R.

00:45:57.380 --> 00:45:59.380 align:middle line:84%
IAN BELL: Yeah, so in
fact, instead of XC,

00:45:59.380 --> 00:46:02.300 align:middle line:84%
I think my best deviation
is going to be NR.

00:46:02.300 --> 00:46:05.428 align:middle line:84%
So instead of doing
X, I'm going to enter.

00:46:05.428 --> 00:46:07.220 align:middle line:84%
And then because I
believe that player 2 is

00:46:07.220 --> 00:46:08.845 align:middle line:84%
going to go to the
Red Sox game, I also

00:46:08.845 --> 00:46:12.260 align:middle line:84%
want to go to the Red Sox game,
and that gives me a payoff of 1.

00:46:12.260 --> 00:46:15.000 align:middle line:84%
But that's still worse
than my payoff of 1.5.

00:46:15.000 --> 00:46:20.380 align:middle line:84%
So indeed, this is a
Nash equilibrium, but not

00:46:20.380 --> 00:46:22.120 align:middle line:84%
a subgame perfect
Nash equilibrium.

00:46:22.120 --> 00:46:26.460 align:middle line:90%


00:46:26.460 --> 00:46:28.500 align:middle line:84%
So if we go to our
circle over here,

00:46:28.500 --> 00:46:30.780 align:middle line:90%
this lies somewhere in here.

00:46:30.780 --> 00:46:33.380 align:middle line:84%
It's a Nash equilibrium, but
it's not a subgame perfect Nash

00:46:33.380 --> 00:46:33.960 align:middle line:90%
equilibrium.

00:46:33.960 --> 00:46:36.460 align:middle line:84%
We already checked that it's a
Nash equilibrium, or at least

00:46:36.460 --> 00:46:37.160 align:middle line:90%
verbally.

00:46:37.160 --> 00:46:39.320 align:middle line:84%
We said neither
player can profitably

00:46:39.320 --> 00:46:41.700 align:middle line:84%
deviate from this
strategy profile,

00:46:41.700 --> 00:46:44.000 align:middle line:84%
and that implies that
it's a Nash equilibrium.

00:46:44.000 --> 00:46:46.040 align:middle line:84%
We argued it shouldn't
be a subgame perfect Nash

00:46:46.040 --> 00:46:48.660 align:middle line:84%
equilibrium because it didn't
come out of our procedure.

00:46:48.660 --> 00:46:49.760 align:middle line:90%
But let's formally check.

00:46:49.760 --> 00:46:53.420 align:middle line:84%
What's violated about
this strategy profile?

00:46:53.420 --> 00:46:56.680 align:middle line:84%
Why does this strategy profile
not satisfy our definition

00:46:56.680 --> 00:46:58.860 align:middle line:84%
of subgame perfect
Nash equilibrium?

00:46:58.860 --> 00:47:03.760 align:middle line:90%


00:47:03.760 --> 00:47:04.660 align:middle line:90%
So what's wrong?

00:47:04.660 --> 00:47:07.440 align:middle line:84%
It is a Nash equilibrium,
but it's not subgame perfect,

00:47:07.440 --> 00:47:08.460 align:middle line:90%
and why is that?

00:47:08.460 --> 00:47:13.200 align:middle line:90%


00:47:13.200 --> 00:47:16.040 align:middle line:90%
Thoughts?

00:47:16.040 --> 00:47:19.420 align:middle line:90%
Well, let's look at our subgame.

00:47:19.420 --> 00:47:22.520 align:middle line:84%
In our subgame,
player 1 is playing C,

00:47:22.520 --> 00:47:26.160 align:middle line:84%
and player 2 is playing
R in our subgame here.

00:47:26.160 --> 00:47:28.200 align:middle line:84%
And that means
player 1 is playing

00:47:28.200 --> 00:47:32.760 align:middle line:84%
C. Player 2 is playing R.
We're at 0, 0 over here.

00:47:32.760 --> 00:47:35.280 align:middle line:84%
This is not a Nash
equilibrium of the subgame.

00:47:35.280 --> 00:47:38.450 align:middle line:84%
Because in this subgame,
in fact, either player

00:47:38.450 --> 00:47:39.370 align:middle line:90%
could deviate.

00:47:39.370 --> 00:47:44.130 align:middle line:84%
If player 2 changes to R,
they would get a higher payoff

00:47:44.130 --> 00:47:46.730 align:middle line:84%
because then player
1 would get 1.

00:47:46.730 --> 00:47:49.010 align:middle line:84%
And similarly, player
2 could deviate to C,

00:47:49.010 --> 00:47:50.927 align:middle line:84%
and they would get
a higher payoff.

00:47:50.927 --> 00:47:52.510 align:middle line:84%
But we have to be
really careful here.

00:47:52.510 --> 00:47:55.370 align:middle line:84%
I just said that it
is a Nash equilibrium

00:47:55.370 --> 00:47:57.530 align:middle line:84%
and neither player can
profitably deviate.

00:47:57.530 --> 00:47:59.410 align:middle line:84%
And now I'm saying
in the subgame,

00:47:59.410 --> 00:48:00.830 align:middle line:90%
a player can profitably deviate.

00:48:00.830 --> 00:48:03.650 align:middle line:90%
So what's going on here?

00:48:03.650 --> 00:48:05.190 align:middle line:90%
So it is a Nash equilibrium.

00:48:05.190 --> 00:48:07.930 align:middle line:84%
No one has a profitable
deviation in the entire game.

00:48:07.930 --> 00:48:10.970 align:middle line:84%
But I'm saying, in
this subgame down here,

00:48:10.970 --> 00:48:13.150 align:middle line:84%
there are profitable
deviations the players have.

00:48:13.150 --> 00:48:14.858 align:middle line:84%
And that's why it
violates the definition

00:48:14.858 --> 00:48:16.810 align:middle line:84%
of subgame perfect
Nash equilibrium.

00:48:16.810 --> 00:48:17.830 align:middle line:90%
So what's going on?

00:48:17.830 --> 00:48:25.482 align:middle line:90%


00:48:25.482 --> 00:48:27.690 align:middle line:84%
So what's going on is there
are profitable deviations

00:48:27.690 --> 00:48:30.490 align:middle line:84%
in subgames that
are not reached.

00:48:30.490 --> 00:48:32.190 align:middle line:90%
So why?

00:48:32.190 --> 00:48:35.210 align:middle line:90%


00:48:35.210 --> 00:48:37.980 align:middle line:84%
Maybe I'll make the
more general point.

00:48:37.980 --> 00:48:39.960 align:middle line:84%
When we're at a point
here, what's going on?

00:48:39.960 --> 00:48:42.620 align:middle line:90%


00:48:42.620 --> 00:48:44.420 align:middle line:84%
How can we have a
strategy profile that's

00:48:44.420 --> 00:48:46.780 align:middle line:84%
a Nash equilibrium, but
not a subgame perfect Nash

00:48:46.780 --> 00:48:47.600 align:middle line:90%
equilibrium?

00:48:47.600 --> 00:48:49.420 align:middle line:84%
What must be the
case is that there

00:48:49.420 --> 00:48:57.340 align:middle line:84%
must be a profitable
deviation, and we

00:48:57.340 --> 00:48:59.520 align:middle line:84%
have to be precise
about what that means.

00:48:59.520 --> 00:49:09.960 align:middle line:84%
Profitable deviation within the
subgame that is not reached.

00:49:09.960 --> 00:49:18.460 align:middle line:90%


00:49:18.460 --> 00:49:20.920 align:middle line:84%
And this is exactly the idea
of a non-credible threat.

00:49:20.920 --> 00:49:24.400 align:middle line:84%
It says, if we were to
get to this subgame,

00:49:24.400 --> 00:49:27.500 align:middle line:84%
if we were to get to
this node, some player

00:49:27.500 --> 00:49:29.580 align:middle line:90%
could do strictly better.

00:49:29.580 --> 00:49:33.220 align:middle line:84%
That's why this strategy
profile violates subgame perfect

00:49:33.220 --> 00:49:35.070 align:middle line:90%
Nash equilibrium.

00:49:35.070 --> 00:49:37.290 align:middle line:84%
But it doesn't violate
Nash equilibrium

00:49:37.290 --> 00:49:39.570 align:middle line:84%
because under this
strategy profile,

00:49:39.570 --> 00:49:41.618 align:middle line:84%
we don't actually
get to this subgame.

00:49:41.618 --> 00:49:43.910 align:middle line:84%
So the fact that I could do
better if this subgame were

00:49:43.910 --> 00:49:46.090 align:middle line:84%
reached, doesn't mean
I could do better

00:49:46.090 --> 00:49:47.815 align:middle line:84%
because when I
change my play here,

00:49:47.815 --> 00:49:50.190 align:middle line:84%
I'm not actually affecting
our final payoff because we're

00:49:50.190 --> 00:49:53.110 align:middle line:90%
going to get stuck over here.

00:49:53.110 --> 00:49:56.090 align:middle line:84%
So it's exactly what we talked
about with backward induction.

00:49:56.090 --> 00:49:58.230 align:middle line:84%
Remember, we said Nash
equilibrium does not

00:49:58.230 --> 00:50:02.630 align:middle line:84%
require optimal play at
unreached contingencies.

00:50:02.630 --> 00:50:05.430 align:middle line:84%
Similarly, Nash equilibrium
does not necessarily

00:50:05.430 --> 00:50:10.070 align:middle line:84%
require Nash equilibrium
play in unreached subgames.

00:50:10.070 --> 00:50:13.670 align:middle line:84%
So we're just kind of replacing
contingencies with subgames.

00:50:13.670 --> 00:50:16.270 align:middle line:84%
And indeed, there may be
a profitable deviation

00:50:16.270 --> 00:50:18.150 align:middle line:84%
at a subgame that
is not reached,

00:50:18.150 --> 00:50:20.550 align:middle line:84%
but that doesn't mean there's
a profitable deviation

00:50:20.550 --> 00:50:22.067 align:middle line:90%
within the entire game.

00:50:22.067 --> 00:50:23.650 align:middle line:84%
I think that's kind
of a subtle point.

00:50:23.650 --> 00:50:26.110 align:middle line:84%
And that's the heart
of subgame perfection.

00:50:26.110 --> 00:50:27.590 align:middle line:90%
Any questions about that?

00:50:27.590 --> 00:50:30.010 align:middle line:84%
And if not, we'll move to
a more substantive example.

00:50:30.010 --> 00:50:32.560 align:middle line:90%


00:50:32.560 --> 00:50:38.900 align:middle line:84%
All right, so now
let's go over here.

00:50:38.900 --> 00:50:53.353 align:middle line:90%


00:50:53.353 --> 00:50:55.520 align:middle line:84%
And now we're going to
consider an application where

00:50:55.520 --> 00:50:57.680 align:middle line:84%
we can apply subgame
perfection to try

00:50:57.680 --> 00:51:00.600 align:middle line:84%
to make a prediction about
behavior in this game.

00:51:00.600 --> 00:51:10.820 align:middle line:84%
So this is going to be Cournot
competition with entry costs.

00:51:10.820 --> 00:51:15.530 align:middle line:90%


00:51:15.530 --> 00:51:17.780 align:middle line:84%
So we're going to look at
classic Cournot competition.

00:51:17.780 --> 00:51:20.780 align:middle line:84%
Remember, Cournot competition
is quantity competition.

00:51:20.780 --> 00:51:24.245 align:middle line:84%
So each firm chooses how much
quantity to bring to market.

00:51:24.245 --> 00:51:26.120 align:middle line:84%
And then the total
quantity brought to market

00:51:26.120 --> 00:51:28.520 align:middle line:84%
determines the market
price, and then each firm

00:51:28.520 --> 00:51:32.450 align:middle line:84%
sells their quantity
at that market price.

00:51:32.450 --> 00:51:36.950 align:middle line:84%
And we're going to start with
everything exactly as before.

00:51:36.950 --> 00:51:39.530 align:middle line:90%
So we have n firms.

00:51:39.530 --> 00:51:41.630 align:middle line:84%
We have constant
marginal cost, c.

00:51:41.630 --> 00:51:47.330 align:middle line:90%


00:51:47.330 --> 00:51:50.570 align:middle line:84%
Remember this is the constant
marginal cost of production.

00:51:50.570 --> 00:51:53.290 align:middle line:84%
And then we're going to specify
the same convenient demand

00:51:53.290 --> 00:51:58.690 align:middle line:84%
that we usually specify,
which is P of Q.

00:51:58.690 --> 00:52:00.830 align:middle line:84%
If quantity Q is
brought to market,

00:52:00.830 --> 00:52:02.570 align:middle line:84%
what is the market
price going to be?

00:52:02.570 --> 00:52:04.450 align:middle line:84%
Well, intuitively,
the market price

00:52:04.450 --> 00:52:07.690 align:middle line:84%
should get smaller the more
that's brought to market.

00:52:07.690 --> 00:52:12.530 align:middle line:84%
And we're going to use the same
specification the maximum of 1

00:52:12.530 --> 00:52:14.130 align:middle line:90%
minus Q and 0.

00:52:14.130 --> 00:52:15.810 align:middle line:90%
Exactly what we said before.

00:52:15.810 --> 00:52:18.490 align:middle line:84%
So if more than one unit
is brought to market,

00:52:18.490 --> 00:52:21.250 align:middle line:90%
the price is just 0.

00:52:21.250 --> 00:52:24.950 align:middle line:84%
And if nothing is brought
to market, the price is 1,

00:52:24.950 --> 00:52:27.870 align:middle line:84%
and then we interpolate
between that linearly.

00:52:27.870 --> 00:52:30.820 align:middle line:90%


00:52:30.820 --> 00:52:35.540 align:middle line:84%
But now the key difference
is that the firms can't just

00:52:35.540 --> 00:52:39.040 align:middle line:90%
produce immediately.

00:52:39.040 --> 00:52:42.260 align:middle line:84%
They have to choose whether they
want to enter this industry.

00:52:42.260 --> 00:52:47.320 align:middle line:84%
So I can't just produce
corn at my farm today.

00:52:47.320 --> 00:52:49.765 align:middle line:84%
I have to first buy a farm
and start entering the market

00:52:49.765 --> 00:52:51.640 align:middle line:84%
and decide that I'm
going to become a farmer.

00:52:51.640 --> 00:52:54.700 align:middle line:84%
So in this example,
the firms, each firm

00:52:54.700 --> 00:52:57.848 align:middle line:84%
has to first make a choice about
whether they want to participate

00:52:57.848 --> 00:52:59.640 align:middle line:84%
in this industry,
whether they want to say,

00:52:59.640 --> 00:53:02.080 align:middle line:84%
pay the upfront costs that
would allow them to produce.

00:53:02.080 --> 00:53:03.580 align:middle line:84%
So in your Econ
course, you probably

00:53:03.580 --> 00:53:06.500 align:middle line:84%
heard the difference between
fixed costs and marginal costs.

00:53:06.500 --> 00:53:09.600 align:middle line:84%
Here, c is playing the
role of marginal costs.

00:53:09.600 --> 00:53:11.847 align:middle line:84%
This is a per unit
cost I pay to produce.

00:53:11.847 --> 00:53:13.680 align:middle line:84%
But I also have something
like a fixed cost.

00:53:13.680 --> 00:53:15.460 align:middle line:84%
I have to buy a factory
to start producing

00:53:15.460 --> 00:53:17.220 align:middle line:84%
or buy a farm to
start producing.

00:53:17.220 --> 00:53:19.820 align:middle line:84%
| this game is going to
proceed in two stages.

00:53:19.820 --> 00:53:24.220 align:middle line:84%
In stage 1, each
firm simultaneously

00:53:24.220 --> 00:53:27.000 align:middle line:84%
chooses whether to
enter the market.

00:53:27.000 --> 00:53:28.960 align:middle line:84%
In other words, pay
the up-front cost

00:53:28.960 --> 00:53:30.600 align:middle line:90%
to be a player in the market.

00:53:30.600 --> 00:53:42.380 align:middle line:84%
So each firm simultaneously
chooses whether to enter.

00:53:42.380 --> 00:53:46.080 align:middle line:90%


00:53:46.080 --> 00:53:49.120 align:middle line:90%
And entering has a cost.

00:53:49.120 --> 00:53:52.400 align:middle line:84%
I'll say, at cost--
well, we'd like to say c,

00:53:52.400 --> 00:53:54.400 align:middle line:84%
but we already have
c here, so I'll

00:53:54.400 --> 00:53:57.120 align:middle line:84%
say it cost F. You could
think of this as a fee

00:53:57.120 --> 00:53:58.840 align:middle line:90%
or as a fixed cost.

00:53:58.840 --> 00:54:02.720 align:middle line:84%
This is building a
factory, buying the farm.

00:54:02.720 --> 00:54:08.040 align:middle line:84%
And then stage 2,
the firms who've

00:54:08.040 --> 00:54:10.300 align:middle line:84%
entered each choose
how much to produce.

00:54:10.300 --> 00:54:14.880 align:middle line:90%


00:54:14.880 --> 00:54:16.800 align:middle line:84%
Maybe I'll say,
the present firms,

00:54:16.800 --> 00:54:20.060 align:middle line:84%
that is the firms who've
entered, choose quantities.

00:54:20.060 --> 00:54:25.160 align:middle line:90%


00:54:25.160 --> 00:54:26.750 align:middle line:90%
And again, this is simultaneous.

00:54:26.750 --> 00:54:33.090 align:middle line:90%


00:54:33.090 --> 00:54:37.730 align:middle line:84%
So first, each firm chooses
whether to enter at some cost F.

00:54:37.730 --> 00:54:40.370 align:middle line:84%
Some subset of the
firms has entered.

00:54:40.370 --> 00:54:42.610 align:middle line:84%
And then the present--
this is not great grammar,

00:54:42.610 --> 00:54:44.402 align:middle line:84%
but I just mean the
firms that are present,

00:54:44.402 --> 00:54:47.210 align:middle line:84%
the entered firms
choose simultaneously

00:54:47.210 --> 00:54:48.510 align:middle line:90%
the quantities to produce.

00:54:48.510 --> 00:54:51.570 align:middle line:84%
And then we just play
the Cournot game.

00:54:51.570 --> 00:54:53.925 align:middle line:84%
I would say here, though, we
have to be really careful.

00:54:53.925 --> 00:54:55.550 align:middle line:84%
There's one detail
I haven't specified.

00:54:55.550 --> 00:54:57.970 align:middle line:84%
There's something I need to
specify as part of the game.

00:54:57.970 --> 00:55:01.770 align:middle line:84%
What have I not told
you that's important?

00:55:01.770 --> 00:55:04.150 align:middle line:84%
So we have the players,
we have the actions,

00:55:04.150 --> 00:55:07.810 align:middle line:84%
we have the payoffs,
but information.

00:55:07.810 --> 00:55:11.250 align:middle line:84%
So we have to be clear here,
what do these firms in stage 2

00:55:11.250 --> 00:55:12.450 align:middle line:90%
know?

00:55:12.450 --> 00:55:14.395 align:middle line:84%
Do they know who
else has entered?

00:55:14.395 --> 00:55:15.770 align:middle line:84%
That's an important
consideration

00:55:15.770 --> 00:55:17.090 align:middle line:90%
in the way we model the game.

00:55:17.090 --> 00:55:19.490 align:middle line:84%
We're going to assume
that they do observe this.

00:55:19.490 --> 00:55:28.860 align:middle line:84%
So I'll say, the set of
firms that enter is observed,

00:55:28.860 --> 00:55:30.880 align:middle line:84%
or maybe I'll just say,
entering is observed.

00:55:30.880 --> 00:55:40.660 align:middle line:90%


00:55:40.660 --> 00:55:43.487 align:middle line:84%
So if you want to start a
factory, you want to buy a farm,

00:55:43.487 --> 00:55:44.320 align:middle line:90%
people observe that.

00:55:44.320 --> 00:55:45.680 align:middle line:84%
People see that you're
now in the market.

00:55:45.680 --> 00:55:47.805 align:middle line:84%
And that's potentially
going to affect the way they

00:55:47.805 --> 00:55:49.220 align:middle line:90%
behave in the second stage.

00:55:49.220 --> 00:55:50.120 align:middle line:90%
And this is crucial.

00:55:50.120 --> 00:55:53.110 align:middle line:84%
If you were a firm, and you were
deciding how much to produce,

00:55:53.110 --> 00:55:54.860 align:middle line:84%
part of your market
research would exactly

00:55:54.860 --> 00:55:57.580 align:middle line:84%
be to see what other firms
are present in the market?

00:55:57.580 --> 00:55:59.340 align:middle line:84%
And is there a new
entrant that may change

00:55:59.340 --> 00:56:00.560 align:middle line:90%
how much you want to produce?

00:56:00.560 --> 00:56:02.810 align:middle line:84%
So we're going to assume
that this market research has

00:56:02.810 --> 00:56:04.860 align:middle line:84%
been done, and that this
entrance decision is

00:56:04.860 --> 00:56:07.380 align:middle line:90%
publicly observable.

00:56:07.380 --> 00:56:16.260 align:middle line:84%
So now, we'd like to solve
for a subgame perfect Nash

00:56:16.260 --> 00:56:18.820 align:middle line:90%
equilibrium of this game.

00:56:18.820 --> 00:56:24.150 align:middle line:90%
So let's solve for SPNE.

00:56:24.150 --> 00:56:27.030 align:middle line:84%
And let's follow our
procedure, step 1,

00:56:27.030 --> 00:56:28.530 align:middle line:90%
identify all the subgames.

00:56:28.530 --> 00:56:32.110 align:middle line:90%


00:56:32.110 --> 00:56:33.290 align:middle line:90%
So any thoughts?

00:56:33.290 --> 00:56:40.750 align:middle line:84%
What are going to be the
subgames of this game?

00:56:40.750 --> 00:56:44.150 align:middle line:84%
Well, certainly, the
entire game is a subgame.

00:56:44.150 --> 00:56:48.070 align:middle line:84%
So first, let's
find the subgames.

00:56:48.070 --> 00:56:49.850 align:middle line:90%
Well, we have the entire game.

00:56:49.850 --> 00:56:52.510 align:middle line:90%


00:56:52.510 --> 00:56:53.370 align:middle line:90%
That's always easy.

00:56:53.370 --> 00:56:55.910 align:middle line:84%
That's what happens at the
beginning of stage one.

00:56:55.910 --> 00:57:00.510 align:middle line:84%
But then there's going to be
a lot of subgames in stage 2.

00:57:00.510 --> 00:57:06.448 align:middle line:84%
So in stage 2, what's
going to start a subgame?

00:57:06.448 --> 00:57:07.990 align:middle line:84%
A subgame can only
start at a history

00:57:07.990 --> 00:57:09.693 align:middle line:90%
that's observed by the players.

00:57:09.693 --> 00:57:11.110 align:middle line:84%
That's another way
of saying, when

00:57:11.110 --> 00:57:13.750 align:middle line:84%
we say that the initial node
must be in its own information

00:57:13.750 --> 00:57:16.835 align:middle line:84%
set, think of that as saying a
subgame can start at the history

00:57:16.835 --> 00:57:19.210 align:middle line:84%
if everyone knows we're at
that history when we're at it.

00:57:19.210 --> 00:57:21.880 align:middle line:84%
There can't be any uncertainty
about which history we're at.

00:57:21.880 --> 00:57:23.780 align:middle line:90%
So what is observed?

00:57:23.780 --> 00:57:26.320 align:middle line:84%
Well, here, what is
the history at stage 2?

00:57:26.320 --> 00:57:29.400 align:middle line:84%
Well, what we know at stage
2, is which firms have entered

00:57:29.400 --> 00:57:31.640 align:middle line:90%
and which firms haven't.

00:57:31.640 --> 00:57:33.440 align:middle line:84%
And in fact, each
of those histories

00:57:33.440 --> 00:57:35.720 align:middle line:90%
will start a different subgame.

00:57:35.720 --> 00:57:37.560 align:middle line:84%
So in fact, the
subgames are going

00:57:37.560 --> 00:57:41.280 align:middle line:84%
to be parametrized by the
set of firms who entered.

00:57:41.280 --> 00:57:43.960 align:middle line:84%
I don't have to specify who
didn't enter because that's just

00:57:43.960 --> 00:57:44.698 align:middle line:90%
everyone else.

00:57:44.698 --> 00:57:46.740 align:middle line:84%
Once I know who entered,
I know who didn't enter.

00:57:46.740 --> 00:57:49.380 align:middle line:90%


00:57:49.380 --> 00:57:53.240 align:middle line:90%
And this is in stage 1.

00:57:53.240 --> 00:57:57.080 align:middle line:84%
And then we have a
subgame parametrized by--

00:57:57.080 --> 00:58:01.120 align:middle line:90%
going to say parametrized.

00:58:01.120 --> 00:58:05.580 align:middle line:84%
That just means we can discard
the subgame by this quantity.

00:58:05.580 --> 00:58:11.100 align:middle line:84%
Maybe I'll call it I
subset of 1 through n.

00:58:11.100 --> 00:58:14.240 align:middle line:90%


00:58:14.240 --> 00:58:16.080 align:middle line:84%
And the interpretation
of this is

00:58:16.080 --> 00:58:17.500 align:middle line:90%
the set of players who entered.

00:58:17.500 --> 00:58:30.770 align:middle line:90%


00:58:30.770 --> 00:58:36.490 align:middle line:84%
And I guess, maybe, if we
want to be really formal,

00:58:36.490 --> 00:58:38.770 align:middle line:84%
let's say it's not
an empty subset.

00:58:38.770 --> 00:58:40.490 align:middle line:84%
Because if no one
enters, then we're

00:58:40.490 --> 00:58:42.610 align:middle line:84%
actually at a terminal node
because no one has any decisions

00:58:42.610 --> 00:58:43.110 align:middle line:90%
to make.

00:58:43.110 --> 00:58:45.730 align:middle line:84%
So that's not going
to start a subgame.

00:58:45.730 --> 00:58:49.130 align:middle line:84%
So maybe I'll just
write it like this.

00:58:49.130 --> 00:58:50.470 align:middle line:90%
Sorry, this is math notation.

00:58:50.470 --> 00:58:54.210 align:middle line:84%
All it means is we have some
non-empty subset of firms

00:58:54.210 --> 00:58:54.990 align:middle line:90%
have entered.

00:58:54.990 --> 00:58:56.330 align:middle line:90%
We all observe that.

00:58:56.330 --> 00:58:59.510 align:middle line:84%
And then based upon that,
we all decide how to play.

00:58:59.510 --> 00:59:02.732 align:middle line:84%
Of course, remember, if this is
the set of firms who've entered,

00:59:02.732 --> 00:59:04.690 align:middle line:84%
this is also the set of
firms who have a choice

00:59:04.690 --> 00:59:06.010 align:middle line:90%
to make in the next period.

00:59:06.010 --> 00:59:07.510 align:middle line:84%
The other firms
aren't even present.

00:59:07.510 --> 00:59:09.135 align:middle line:84%
They don't even matter
in this subgame.

00:59:09.135 --> 00:59:13.130 align:middle line:84%
So sometimes a
subgame might involve

00:59:13.130 --> 00:59:15.290 align:middle line:90%
only a subset of players.

00:59:15.290 --> 00:59:16.630 align:middle line:90%
And that's happening here.

00:59:16.630 --> 00:59:19.870 align:middle line:84%
Only these players are going
to be involved in the subgame.

00:59:19.870 --> 00:59:23.110 align:middle line:84%
Because if you don't enter,
you have no choice to make.

00:59:23.110 --> 00:59:29.830 align:middle line:84%
OK, so now let's try to work
backwards and try to solve this.

00:59:29.830 --> 00:59:31.730 align:middle line:90%
So step 2 is working backwards.

00:59:31.730 --> 00:59:42.070 align:middle line:90%


00:59:42.070 --> 00:59:44.350 align:middle line:90%
So I've achieved step 1.

00:59:44.350 --> 00:59:46.310 align:middle line:90%
I've identified the subgames.

00:59:46.310 --> 00:59:48.405 align:middle line:90%
Now I want to work backwards.

00:59:48.405 --> 00:59:50.030 align:middle line:84%
So I'm going to start
with the subgames

00:59:50.030 --> 00:59:53.110 align:middle line:84%
here and try to find a
Nash equilibrium of each

00:59:53.110 --> 00:59:55.030 align:middle line:90%
of these subgames.

00:59:55.030 --> 01:00:01.230 align:middle line:84%
So suppose we're in
stage 2, and suppose

01:00:01.230 --> 01:00:04.390 align:middle line:84%
that the set of firms
that has entered is I.

01:00:04.390 --> 01:00:10.770 align:middle line:84%
So let's say we're
given non-empty subset.

01:00:10.770 --> 01:00:20.360 align:middle line:90%


01:00:20.360 --> 01:00:23.200 align:middle line:84%
So I'm saying, suppose
we're at the contingency

01:00:23.200 --> 01:00:25.760 align:middle line:84%
where this is the set
of firms who've entered.

01:00:25.760 --> 01:00:27.720 align:middle line:90%
That defines a subgame.

01:00:27.720 --> 01:00:29.960 align:middle line:84%
And now I need to try
to solve for a Nash

01:00:29.960 --> 01:00:31.560 align:middle line:90%
equilibrium of this subgame.

01:00:31.560 --> 01:00:36.640 align:middle line:84%
So I need to think, well,
what are the substrategies

01:00:36.640 --> 01:00:37.340 align:middle line:90%
in this subgame?

01:00:37.340 --> 01:00:38.840 align:middle line:84%
Remember, we just
need to think what

01:00:38.840 --> 01:00:41.680 align:middle line:84%
are the decisions that need to
be made within this subgame?

01:00:41.680 --> 01:00:48.288 align:middle line:84%
Well, what we need is
each player firm i in I--

01:00:48.288 --> 01:00:50.580 align:middle line:84%
the other firms don't have
any decision to make, right?

01:00:50.580 --> 01:00:52.120 align:middle line:84%
It's only the firms
who've entered.

01:00:52.120 --> 01:00:53.680 align:middle line:84%
Each firm i and I
is going to choose

01:00:53.680 --> 01:00:55.700 align:middle line:90%
a quantity q I to produce.

01:00:55.700 --> 01:01:00.700 align:middle line:90%


01:01:00.700 --> 01:01:04.460 align:middle line:84%
SO these are the strategies
within this subgame.

01:01:04.460 --> 01:01:07.760 align:middle line:84%
Once I'm in this subgame, each
player i who's involved just

01:01:07.760 --> 01:01:09.172 align:middle line:90%
needs to choose some quantity.

01:01:09.172 --> 01:01:11.880 align:middle line:84%
And I think we just said this is
just some non-negative quantity.

01:01:11.880 --> 01:01:15.770 align:middle line:90%


01:01:15.770 --> 01:01:22.305 align:middle line:84%
So now we'd like to solve for a
Nash equilibrium of the subgame.

01:01:22.305 --> 01:01:23.430 align:middle line:90%
Do we know what to do here?

01:01:23.430 --> 01:01:25.870 align:middle line:84%
Does this fit in with something
we've studied previously?

01:01:25.870 --> 01:01:29.050 align:middle line:90%


01:01:29.050 --> 01:01:31.010 align:middle line:90%
Any thoughts?

01:01:31.010 --> 01:01:34.130 align:middle line:84%
Well, this subgame is just the
classical Cournot competition

01:01:34.130 --> 01:01:38.530 align:middle line:84%
game we studied but with a
possibly smaller set of firms.

01:01:38.530 --> 01:01:41.450 align:middle line:84%
So we already know how
to analyze the subgame

01:01:41.450 --> 01:01:44.410 align:middle line:84%
because the subgame reduces to
something we've already studied.

01:01:44.410 --> 01:01:53.170 align:middle line:84%
So this is just
standard Cournot with--

01:01:53.170 --> 01:01:56.830 align:middle line:84%
well, effectively, we only have
as many firms as have entered.

01:01:56.830 --> 01:01:58.650 align:middle line:84%
So we need some
notation for that.

01:01:58.650 --> 01:02:03.890 align:middle line:84%
I'll say what this means
is, if I have a set I,

01:02:03.890 --> 01:02:05.870 align:middle line:84%
this means the number
of elements of that set.

01:02:05.870 --> 01:02:08.290 align:middle line:84%
So this is just counting
how many firms have entered,

01:02:08.290 --> 01:02:09.590 align:middle line:90%
so with this many firms.

01:02:09.590 --> 01:02:14.540 align:middle line:90%


01:02:14.540 --> 01:02:18.020 align:middle line:90%
And we know how to solve that.

01:02:18.020 --> 01:02:21.620 align:middle line:84%
Notice one thing that all that
matters for the Cournot outcome

01:02:21.620 --> 01:02:23.180 align:middle line:90%
is the number of firms.

01:02:23.180 --> 01:02:25.760 align:middle line:84%
So even if a different
set of firms is entered,

01:02:25.760 --> 01:02:27.980 align:middle line:84%
each entering firm is going
to produce-- the amount

01:02:27.980 --> 01:02:30.260 align:middle line:84%
that each firm who's entered
will produce depends only

01:02:30.260 --> 01:02:32.240 align:middle line:84%
on the number of firms
who have entered,

01:02:32.240 --> 01:02:33.900 align:middle line:90%
not the identities of the firms.

01:02:33.900 --> 01:02:35.460 align:middle line:84%
But that's because
of our assumption

01:02:35.460 --> 01:02:37.220 align:middle line:84%
that the firms
are all symmetric.

01:02:37.220 --> 01:02:39.340 align:middle line:84%
If one firm could produce
at a lower marginal cost

01:02:39.340 --> 01:02:40.620 align:middle line:84%
than another firm,
then we'd have

01:02:40.620 --> 01:02:42.520 align:middle line:84%
to keep track of the
identities of the firms.

01:02:42.520 --> 01:02:45.080 align:middle line:84%
But since all the firms
are ex-ante equivalent,

01:02:45.080 --> 01:02:47.560 align:middle line:84%
ex-ante identical, we don't
really care who's entered.

01:02:47.560 --> 01:02:50.420 align:middle line:84%
We just care how many
people have entered.

01:02:50.420 --> 01:02:52.240 align:middle line:84%
And what is the
solution of this?

01:02:52.240 --> 01:02:58.580 align:middle line:84%
Does anyone recall
what is qi star going

01:02:58.580 --> 01:03:01.640 align:middle line:90%
to be, anyone remember?

01:03:01.640 --> 01:03:06.060 align:middle line:84%
This is, I think for tests,
a good kind of thing to know.

01:03:06.060 --> 01:03:09.180 align:middle line:84%
Well, we have 1 minus c on the
top because the more costly

01:03:09.180 --> 01:03:12.310 align:middle line:84%
it is to produce, the
less each firm produces.

01:03:12.310 --> 01:03:15.210 align:middle line:84%
And on the bottom, well,
the more firms there are,

01:03:15.210 --> 01:03:16.710 align:middle line:90%
the less we produce.

01:03:16.710 --> 01:03:19.870 align:middle line:84%
We know a monopolist
produces 1 minus c over 2.

01:03:19.870 --> 01:03:24.130 align:middle line:84%
So if we expand that
formula, or that pattern,

01:03:24.130 --> 01:03:26.870 align:middle line:84%
we're going to get the
number of firms plus 1.

01:03:26.870 --> 01:03:32.230 align:middle line:84%
So if I am the only firm, so
the cardinality of I is 1,

01:03:32.230 --> 01:03:34.290 align:middle line:84%
then I is the only
firm and monopolist.

01:03:34.290 --> 01:03:36.110 align:middle line:90%
And I choose 1 minus c over 2.

01:03:36.110 --> 01:03:38.937 align:middle line:84%
If there's two firms, we each
produce 1 minus c over 3.

01:03:38.937 --> 01:03:41.270 align:middle line:84%
If there's three firms, we
each produce 1 minus c over 4

01:03:41.270 --> 01:03:41.970 align:middle line:90%
and so on.

01:03:41.970 --> 01:03:44.590 align:middle line:90%


01:03:44.590 --> 01:03:48.350 align:middle line:84%
Now let's think back to how we
approach this problem before.

01:03:48.350 --> 01:03:50.190 align:middle line:90%
We looked at the subgame.

01:03:50.190 --> 01:03:52.610 align:middle line:84%
We found a Nash
equilibrium of the subgame.

01:03:52.610 --> 01:03:55.230 align:middle line:84%
But then the key step was to
compute the payoffs in that Nash

01:03:55.230 --> 01:03:57.708 align:middle line:84%
equilibrium because the payoffs
in that Nash equilibrium

01:03:57.708 --> 01:03:59.750 align:middle line:84%
determined the choices
that the players are going

01:03:59.750 --> 01:04:01.470 align:middle line:90%
to make higher up in the tree.

01:04:01.470 --> 01:04:04.470 align:middle line:84%
So this is what will actually
be done, but let's compute what

01:04:04.470 --> 01:04:07.510 align:middle line:90%
the payoffs will actually be.

01:04:07.510 --> 01:04:10.780 align:middle line:90%
So how do we compute payoffs?

01:04:10.780 --> 01:04:12.760 align:middle line:84%
Well, my payoff depends
on how much I produce

01:04:12.760 --> 01:04:14.780 align:middle line:84%
and also what the
market price is.

01:04:14.780 --> 01:04:17.800 align:middle line:84%
So let's now compute
the market price.

01:04:17.800 --> 01:04:21.360 align:middle line:84%
So the market
price is a function

01:04:21.360 --> 01:04:24.720 align:middle line:90%
of the total amount produced.

01:04:24.720 --> 01:04:26.800 align:middle line:84%
Each of the firms is
producing this amount.

01:04:26.800 --> 01:04:31.900 align:middle line:90%
But there's I of those firms.

01:04:31.900 --> 01:04:36.120 align:middle line:84%
So the total amount
produced is going to be I

01:04:36.120 --> 01:04:43.200 align:middle line:90%
over I plus 1 times 1 minus c.

01:04:43.200 --> 01:04:45.120 align:middle line:90%
Do you see we got this, right?

01:04:45.120 --> 01:04:49.295 align:middle line:84%
Each firm is producing
1 minus c over I plus 1.

01:04:49.295 --> 01:04:51.920 align:middle line:84%
But there's I firms altogether,
so when we add it all up, This.

01:04:51.920 --> 01:04:55.280 align:middle line:90%
Is the total amount produced.

01:04:55.280 --> 01:04:57.140 align:middle line:84%
And now what is
the formula for P--

01:04:57.140 --> 01:05:00.320 align:middle line:90%


01:05:00.320 --> 01:05:03.600 align:middle line:84%
it's actually
maybe a cleaner way

01:05:03.600 --> 01:05:06.020 align:middle line:84%
of doing it is we don't
really just care about p.

01:05:06.020 --> 01:05:08.090 align:middle line:90%
We care about p minus c.

01:05:08.090 --> 01:05:12.010 align:middle line:84%
Because this is going to
be the profit per unit

01:05:12.010 --> 01:05:13.250 align:middle line:90%
that each firm gets.

01:05:13.250 --> 01:05:15.530 align:middle line:84%
Because each firm is
producing this amount.

01:05:15.530 --> 01:05:17.770 align:middle line:84%
This is going to be
the market price.

01:05:17.770 --> 01:05:19.970 align:middle line:84%
This is the cost per
unit, so the difference

01:05:19.970 --> 01:05:23.170 align:middle line:84%
is going to be the
profit per unit.

01:05:23.170 --> 01:05:25.630 align:middle line:84%
And here, we get a nice
algebra simplification

01:05:25.630 --> 01:05:29.930 align:middle line:90%
because we get p is 1 minus q.

01:05:29.930 --> 01:05:34.810 align:middle line:84%
So we're going to get
1 minus this minus c.

01:05:34.810 --> 01:05:38.650 align:middle line:84%
But that's 1 minus c minus
some fraction of 1 minus c.

01:05:38.650 --> 01:05:41.650 align:middle line:84%
So we're just going to get the
residual fraction of 1 minus c.

01:05:41.650 --> 01:05:49.970 align:middle line:84%
And we're exactly going to
get 1 minus c over this.

01:05:49.970 --> 01:05:51.070 align:middle line:90%
You see how this happens?

01:05:51.070 --> 01:05:55.330 align:middle line:84%
We get all of 1 minus c
minus the fraction i over I

01:05:55.330 --> 01:05:57.730 align:middle line:90%
plus 1 of 1 minus c.

01:05:57.730 --> 01:05:59.750 align:middle line:84%
So what's 1 minus
i over I plus 1?

01:05:59.750 --> 01:06:01.280 align:middle line:90%
It's just one over I plus 1.

01:06:01.280 --> 01:06:03.030 align:middle line:84%
If that's tricky, we
can go over it again.

01:06:03.030 --> 01:06:05.910 align:middle line:90%
But any questions on that?

01:06:05.910 --> 01:06:07.070 align:middle line:90%
No?

01:06:07.070 --> 01:06:09.730 align:middle line:90%
OK, and this also makes sense.

01:06:09.730 --> 01:06:14.030 align:middle line:84%
My profit per unit is
decreasing in my cost

01:06:14.030 --> 01:06:18.070 align:middle line:84%
and also decreasing the number
of firms who are entered.

01:06:18.070 --> 01:06:23.510 align:middle line:84%
So now what we can
write down is--

01:06:23.510 --> 01:06:25.790 align:middle line:84%
we can actually compute--
so this is a good,

01:06:25.790 --> 01:06:27.050 align:middle line:90%
I think, thing to remember.

01:06:27.050 --> 01:06:36.110 align:middle line:84%
What we're computing is the
per firm Cournot profit.

01:06:36.110 --> 01:06:38.870 align:middle line:84%
And it's a bit messy to keep
writing cardinality of I,

01:06:38.870 --> 01:06:40.730 align:middle line:90%
so let's say with k firms.

01:06:40.730 --> 01:06:43.535 align:middle line:90%


01:06:43.535 --> 01:06:45.910 align:middle line:84%
So what I want to say is if
we're playing a Cournot game,

01:06:45.910 --> 01:06:48.910 align:middle line:84%
and there's k
firms all together,

01:06:48.910 --> 01:06:52.270 align:middle line:84%
what is each firm going
to get in equilibrium?

01:06:52.270 --> 01:06:55.310 align:middle line:90%
Well, it's going to be--

01:06:55.310 --> 01:06:59.803 align:middle line:90%
so I'll call this pi k star.

01:06:59.803 --> 01:07:01.470 align:middle line:84%
And it's going to be
the amount produced

01:07:01.470 --> 01:07:05.920 align:middle line:84%
by each firm times
the profit per unit.

01:07:05.920 --> 01:07:08.240 align:middle line:90%
So this is going to be--

01:07:08.240 --> 01:07:12.532 align:middle line:84%
well, I'll just use this formula
--1 minus c over k plus 1.

01:07:12.532 --> 01:07:13.740 align:middle line:90%
Notice it's exactly the same.

01:07:13.740 --> 01:07:15.490 align:middle line:84%
I've just changed
notation because I don't

01:07:15.490 --> 01:07:17.822 align:middle line:90%
want to keep writing this.

01:07:17.822 --> 01:07:19.280 align:middle line:84%
And then I'm going
to multiply that

01:07:19.280 --> 01:07:22.500 align:middle line:84%
by the profit per unit,
which is exactly this.

01:07:22.500 --> 01:07:23.660 align:middle line:90%
Again, I'll use my k.

01:07:23.660 --> 01:07:27.360 align:middle line:90%


01:07:27.360 --> 01:07:30.400 align:middle line:84%
And it actually is a pretty
simple formula that--

01:07:30.400 --> 01:07:33.202 align:middle line:84%
I think, this is kind of a good
formula to memorize for exams.

01:07:33.202 --> 01:07:34.660 align:middle line:84%
I mean, you can
always rederive it,

01:07:34.660 --> 01:07:37.320 align:middle line:84%
but I think that's kind of a
nice thing to keep in mind.

01:07:37.320 --> 01:07:39.200 align:middle line:84%
Let's make sure we see
what we're doing here.

01:07:39.200 --> 01:07:43.280 align:middle line:90%
The first term is the quantity.

01:07:43.280 --> 01:07:48.400 align:middle line:84%
The second term is
the profit per unit.

01:07:48.400 --> 01:07:51.503 align:middle line:84%
And it turns out that
these are exactly the same.

01:07:51.503 --> 01:07:52.420 align:middle line:90%
Why are they the same?

01:07:52.420 --> 01:07:55.117 align:middle line:84%
Well, this goes back to you're
maximizing area of a rectangle

01:07:55.117 --> 01:07:57.700 align:middle line:84%
subject to a perimeter, and you
always want it to be a square.

01:07:57.700 --> 01:07:58.992 align:middle line:90%
But that doesn't really matter.

01:07:58.992 --> 01:08:01.490 align:middle line:90%
This is what you get.

01:08:01.490 --> 01:08:08.530 align:middle line:84%
OK, so now we can
understand if k firms enter,

01:08:08.530 --> 01:08:09.730 align:middle line:90%
what's going to happen?

01:08:09.730 --> 01:08:13.170 align:middle line:84%
If k firms enter, and we
play a Nash equilibrium

01:08:13.170 --> 01:08:16.170 align:middle line:84%
of that subgame, then
the k entering firms

01:08:16.170 --> 01:08:18.490 align:middle line:90%
will each produce this amount.

01:08:18.490 --> 01:08:20.370 align:middle line:84%
They'll each get
this profit per unit,

01:08:20.370 --> 01:08:22.770 align:middle line:84%
and they'll each get
this total profit.

01:08:22.770 --> 01:08:27.850 align:middle line:90%
And now we can move to stage 1.

01:08:27.850 --> 01:08:31.810 align:middle line:90%
So let's go here.

01:08:31.810 --> 01:08:35.370 align:middle line:84%
So now let's move
back to stage 1.

01:08:35.370 --> 01:08:37.430 align:middle line:84%
So we've actually
simultaneously solved.

01:08:37.430 --> 01:08:38.850 align:middle line:84%
At first, this
seemed really hard.

01:08:38.850 --> 01:08:41.550 align:middle line:84%
We had a huge array of
subgames to deal with.

01:08:41.550 --> 01:08:43.729 align:middle line:84%
But we actually gave
one general formula

01:08:43.729 --> 01:08:45.830 align:middle line:90%
that works for any subgame.

01:08:45.830 --> 01:08:48.210 align:middle line:84%
Whatever subgame you
give me, I just compute

01:08:48.210 --> 01:08:49.810 align:middle line:90%
how many firms have entered.

01:08:49.810 --> 01:08:51.330 align:middle line:90%
That becomes my k.

01:08:51.330 --> 01:08:54.510 align:middle line:84%
And now I've computed the Nash
equilibrium of that subgame.

01:08:54.510 --> 01:08:56.890 align:middle line:84%
So I've actually covered
every subgame at once.

01:08:56.890 --> 01:09:00.899 align:middle line:84%
And now we need to
move to stage 1.

01:09:00.899 --> 01:09:05.640 align:middle line:84%
So the question at stage
1 is an entry decision.

01:09:05.640 --> 01:09:16.899 align:middle line:84%
So now each firm chooses maybe
enter N/X, enter or exit.

01:09:16.899 --> 01:09:18.819 align:middle line:84%
A better term would
be enter or not enter.

01:09:18.819 --> 01:09:24.760 align:middle line:84%
But yeah, enter and
exit is cleaner to say.

01:09:24.760 --> 01:09:30.620 align:middle line:84%
Well, now, this becomes a
bit tricky because let's look

01:09:30.620 --> 01:09:33.859 align:middle line:90%
at each firm's decision problem.

01:09:33.859 --> 01:09:36.680 align:middle line:84%
If they exit, that is if
they don't enter at all,

01:09:36.680 --> 01:09:39.420 align:middle line:84%
what is their
payoff going to be?

01:09:39.420 --> 01:09:40.939 align:middle line:90%
Just 0, right?

01:09:40.939 --> 01:09:43.660 align:middle line:90%


01:09:43.660 --> 01:09:46.220 align:middle line:84%
If they enter, and
then after entering,

01:09:46.220 --> 01:09:48.180 align:middle line:84%
everyone plays a
Nash equilibrium,

01:09:48.180 --> 01:09:50.740 align:middle line:84%
what is their
payoff going to be?

01:09:50.740 --> 01:09:52.500 align:middle line:84%
Well, this is tricky
because it depends

01:09:52.500 --> 01:09:54.737 align:middle line:90%
on how many other firms enter.

01:09:54.737 --> 01:09:56.320 align:middle line:84%
So we have a formula
for their payoff,

01:09:56.320 --> 01:09:59.670 align:middle line:84%
but it's going to depend on the
total number of firms who enter.

01:09:59.670 --> 01:10:08.070 align:middle line:84%
So it's going to be pi k star,
which equals 1 minus c over k

01:10:08.070 --> 01:10:13.290 align:middle line:84%
plus 1 squared if the total
number of firms who enter is k.

01:10:13.290 --> 01:10:18.150 align:middle line:90%


01:10:18.150 --> 01:10:21.490 align:middle line:84%
Which means if k minus 1
other firms also enter.

01:10:21.490 --> 01:10:31.390 align:middle line:90%


01:10:31.390 --> 01:10:34.470 align:middle line:84%
So if k minus 1 firms also
enter, well, when I enter,

01:10:34.470 --> 01:10:38.770 align:middle line:84%
that makes k, and therefore,
this is going to be my payoff.

01:10:38.770 --> 01:10:45.413 align:middle line:90%


01:10:45.413 --> 01:10:46.830 align:middle line:84%
I think if you
just stare at this,

01:10:46.830 --> 01:10:48.730 align:middle line:84%
it starts getting hard because
you've got to figure out the k.

01:10:48.730 --> 01:10:49.890 align:middle line:90%
The k determines the enter.

01:10:49.890 --> 01:10:50.750 align:middle line:90%
It gets hard.

01:10:50.750 --> 01:10:52.930 align:middle line:84%
So I think the best
way to do it is to say,

01:10:52.930 --> 01:10:57.440 align:middle line:84%
can we find an equilibrium
where k firms enter?

01:10:57.440 --> 01:11:02.780 align:middle line:84%
So let's look for
an equilibrium.

01:11:02.780 --> 01:11:13.237 align:middle line:90%


01:11:13.237 --> 01:11:15.320 align:middle line:84%
And if there's an equilibrium
where k firms enter,

01:11:15.320 --> 01:11:16.820 align:middle line:84%
it's not actually going
to matter which k.

01:11:16.820 --> 01:11:18.195 align:middle line:84%
Then there will
be an equilibrium

01:11:18.195 --> 01:11:21.300 align:middle line:84%
for any subset of size k because
all the firms are the same.

01:11:21.300 --> 01:11:22.740 align:middle line:90%
But this may not exist.

01:11:22.740 --> 01:11:24.440 align:middle line:84%
So let's try to
think, if there's

01:11:24.440 --> 01:11:28.240 align:middle line:84%
an equilibrium in which k
firms enter, what must be true?

01:11:28.240 --> 01:11:31.160 align:middle line:84%
It means each of the
firms that entered,

01:11:31.160 --> 01:11:33.600 align:middle line:84%
finds it optimal to enter,
and each of the firms

01:11:33.600 --> 01:11:37.600 align:middle line:84%
that doesn't enter, finds
it optimal not to enter.

01:11:37.600 --> 01:11:40.520 align:middle line:84%
So I guess the question
is, does any firm

01:11:40.520 --> 01:11:45.273 align:middle line:84%
have a profitable
deviation at stage 1?

01:11:45.273 --> 01:11:46.940 align:middle line:84%
So let's look for
profitable deviations.

01:11:46.940 --> 01:11:53.840 align:middle line:84%
Let's consider a
firm that entered.

01:11:53.840 --> 01:11:54.500 align:middle line:90%
What did I use?

01:11:54.500 --> 01:11:59.800 align:middle line:84%
N. So let's consider
this deviation.

01:11:59.800 --> 01:12:03.540 align:middle line:84%
Let's look at a single
firm that did enter.

01:12:03.540 --> 01:12:07.420 align:middle line:84%
So here k firms, let's
assume k is at least 1.

01:12:07.420 --> 01:12:09.060 align:middle line:84%
Let's look at a
firm that entered

01:12:09.060 --> 01:12:14.220 align:middle line:84%
and consider what would happen
if they deviated and exited?

01:12:14.220 --> 01:12:18.140 align:middle line:90%
Well, this firm is entering.

01:12:18.140 --> 01:12:21.600 align:middle line:84%
So what is their
payoff from entering?

01:12:21.600 --> 01:12:23.540 align:middle line:84%
This is their payoff
in equilibrium.

01:12:23.540 --> 01:12:26.300 align:middle line:90%
Their payoff is-- well, what?

01:12:26.300 --> 01:12:28.980 align:middle line:84%
So let's take the perspective
of one of the k firms

01:12:28.980 --> 01:12:30.100 align:middle line:90%
who has entered.

01:12:30.100 --> 01:12:34.220 align:middle line:84%
And they're saying, what is my
payoff going to be in this game?

01:12:34.220 --> 01:12:38.380 align:middle line:84%
Well k firms in total
enter, so my payoff

01:12:38.380 --> 01:12:41.000 align:middle line:90%
is pi k star from entering.

01:12:41.000 --> 01:12:45.820 align:middle line:84%
But I have to pay this cost,
this fee, F. And, I'm sorry.

01:12:45.820 --> 01:12:51.820 align:middle line:84%
I missed that part, minus
F. Because if I enter,

01:12:51.820 --> 01:12:53.470 align:middle line:84%
I get this in that
subgame, but I also

01:12:53.470 --> 01:12:54.845 align:middle line:84%
have to pay the
fee for entering.

01:12:54.845 --> 01:12:57.590 align:middle line:84%
Otherwise, this would be
a pretty easy problem, OK.

01:12:57.590 --> 01:13:02.430 align:middle line:84%
So this is what I
get in equilibrium.

01:13:02.430 --> 01:13:03.650 align:middle line:90%
What if I exit?

01:13:03.650 --> 01:13:06.350 align:middle line:90%


01:13:06.350 --> 01:13:08.090 align:middle line:90%
Well, then I get 0, right?

01:13:08.090 --> 01:13:10.950 align:middle line:90%


01:13:10.950 --> 01:13:14.790 align:middle line:84%
So what we need is each
of these firms that

01:13:14.790 --> 01:13:17.270 align:middle line:84%
entered is willing to
enter because this is

01:13:17.270 --> 01:13:20.782 align:middle line:90%
greater than or equal to this.

01:13:20.782 --> 01:13:22.710 align:middle line:84%
But now you might
say, wait a second.

01:13:22.710 --> 01:13:25.125 align:middle line:84%
If each of these firms
found it optimal to enter,

01:13:25.125 --> 01:13:27.750 align:middle line:84%
doesn't that mean we're going to
have a deviation because isn't

01:13:27.750 --> 01:13:29.550 align:middle line:84%
one of the firms that
didn't enter also

01:13:29.550 --> 01:13:31.295 align:middle line:90%
going to want to enter?

01:13:31.295 --> 01:13:32.670 align:middle line:84%
So now it seems
like we're stuck.

01:13:32.670 --> 01:13:35.045 align:middle line:84%
We have to make sure that the
firms that entered actually

01:13:35.045 --> 01:13:36.430 align:middle line:90%
find it optimal to enter.

01:13:36.430 --> 01:13:37.972 align:middle line:84%
But if they find it
optimal to enter,

01:13:37.972 --> 01:13:40.138 align:middle line:84%
why doesn't one of the other
firms that didn't enter

01:13:40.138 --> 01:13:41.250 align:middle line:90%
deviate and enter as well?

01:13:41.250 --> 01:13:43.708 align:middle line:90%


01:13:43.708 --> 01:13:45.250 align:middle line:84%
Well, let's go
through their problem.

01:13:45.250 --> 01:13:49.270 align:middle line:84%
Let's look at a firm that
didn't enter and consider

01:13:49.270 --> 01:13:51.080 align:middle line:90%
their deviation.

01:13:51.080 --> 01:13:55.640 align:middle line:84%
So if they didn't enter,
they're getting a payoff of 0.

01:13:55.640 --> 01:13:57.880 align:middle line:90%
What if one of these firms--

01:13:57.880 --> 01:14:00.440 align:middle line:84%
the arrows may not-- hopefully,
what I'm saying verbally

01:14:00.440 --> 01:14:02.023 align:middle line:84%
makes it clear what
these arrows mean.

01:14:02.023 --> 01:14:03.760 align:middle line:84%
You might want to
take notes on this.

01:14:03.760 --> 01:14:07.200 align:middle line:84%
So if I'm one of the firms that
didn't enter, and I deviate now,

01:14:07.200 --> 01:14:09.380 align:middle line:84%
and I enter, what is
my payoff going to be?

01:14:09.380 --> 01:14:12.880 align:middle line:90%


01:14:12.880 --> 01:14:13.800 align:middle line:90%
Yeah?

01:14:13.800 --> 01:14:16.600 align:middle line:84%
AUDIENCE: Is it pi k
plus 1 star minus F?

01:14:16.600 --> 01:14:19.040 align:middle line:84%
IAN BELL: Exactly, and
this is the key difference.

01:14:19.040 --> 01:14:21.280 align:middle line:84%
If I'm one of the
firms who's entered,

01:14:21.280 --> 01:14:24.280 align:middle line:84%
there's only k minus 1
other firms who've entered.

01:14:24.280 --> 01:14:26.260 align:middle line:84%
But if I'm one of the
firms who hadn't entered,

01:14:26.260 --> 01:14:28.680 align:middle line:84%
now I face a different
problem because I face

01:14:28.680 --> 01:14:30.480 align:middle line:90%
k other firms who've entered.

01:14:30.480 --> 01:14:33.480 align:middle line:84%
And this means that if I don't
enter-- sorry, if I enter,

01:14:33.480 --> 01:14:41.215 align:middle line:84%
I'll get pi k plus
1 star minus F.

01:14:41.215 --> 01:14:43.340 align:middle line:84%
Because there's already k
the firms who've entered.

01:14:43.340 --> 01:14:45.400 align:middle line:84%
If I deviate and enter as well,
now there's k plus 1 of us

01:14:45.400 --> 01:14:46.360 align:middle line:90%
who've entered.

01:14:46.360 --> 01:14:51.010 align:middle line:84%
And I need this also
to be unprofitable.

01:14:51.010 --> 01:14:51.910 align:middle line:90%
So I need this.

01:14:51.910 --> 01:14:55.450 align:middle line:90%


01:14:55.450 --> 01:14:58.030 align:middle line:84%
So what is my condition
for this equilibrium?

01:14:58.030 --> 01:15:00.930 align:middle line:90%


01:15:00.930 --> 01:15:04.370 align:middle line:84%
Well, F has to be small enough
so that the firms that enter

01:15:04.370 --> 01:15:07.650 align:middle line:84%
find it optimal to do
so, but large enough

01:15:07.650 --> 01:15:09.250 align:middle line:84%
so that the firms
that don't enter

01:15:09.250 --> 01:15:12.290 align:middle line:90%
find it optimal to not enter.

01:15:12.290 --> 01:15:20.650 align:middle line:84%
And what we need is pi k plus 1
star is less than or equal to F,

01:15:20.650 --> 01:15:23.070 align:middle line:84%
is less than or
equal to pi k star.

01:15:23.070 --> 01:15:28.850 align:middle line:90%


01:15:28.850 --> 01:15:33.570 align:middle line:84%
And indeed, these pi
stars are decreasing in k.

01:15:33.570 --> 01:15:35.930 align:middle line:90%
Let's look at our formula.

01:15:35.930 --> 01:15:38.890 align:middle line:84%
This is definitely
decreasing in k.

01:15:38.890 --> 01:15:40.930 align:middle line:90%
So this makes sense.

01:15:40.930 --> 01:15:43.930 align:middle line:84%
This inequality says, if I'm
one of the firms that did enter,

01:15:43.930 --> 01:15:46.250 align:middle line:84%
and I'm getting pi k star,
it was worth it for me

01:15:46.250 --> 01:15:49.500 align:middle line:84%
to enter because what I'm
getting is better than the fee

01:15:49.500 --> 01:15:50.610 align:middle line:90%
I had to pay to enter.

01:15:50.610 --> 01:15:52.860 align:middle line:84%
But this is saying, well,
if I'm one of the firms that

01:15:52.860 --> 01:15:55.712 align:middle line:84%
didn't enter, if I contemplate
deviating and entering,

01:15:55.712 --> 01:15:57.420 align:middle line:84%
I'm only going to get
this much, and that

01:15:57.420 --> 01:16:00.820 align:middle line:84%
can't be worth it for
me because F is higher.

01:16:00.820 --> 01:16:03.360 align:middle line:84%
So let's just draw a
little graph to finish.

01:16:03.360 --> 01:16:18.100 align:middle line:90%


01:16:18.100 --> 01:16:20.020 align:middle line:84%
So what I want to do
is, I want to plot

01:16:20.020 --> 01:16:23.000 align:middle line:90%
all these pi k's on this chart.

01:16:23.000 --> 01:16:36.592 align:middle line:84%
So we're going to get something
like pi 1 star, pi 2 star.

01:16:36.592 --> 01:16:38.300 align:middle line:84%
It's quadratic, so
they're going to start

01:16:38.300 --> 01:16:47.690 align:middle line:84%
getting closer together pi 3
star, pi 4 star, pi n star.

01:16:47.690 --> 01:16:50.710 align:middle line:90%


01:16:50.710 --> 01:16:52.970 align:middle line:84%
So we can plot all these
points In the graph.

01:16:52.970 --> 01:16:57.030 align:middle line:90%


01:16:57.030 --> 01:16:59.750 align:middle line:84%
And we can try to see what's
going to happen based on where

01:16:59.750 --> 01:17:01.830 align:middle line:90%
F is relative to these points.

01:17:01.830 --> 01:17:04.230 align:middle line:84%
So given the demand
parameters, I

01:17:04.230 --> 01:17:07.910 align:middle line:84%
can graph each of these
numbers all the way up to n

01:17:07.910 --> 01:17:09.910 align:middle line:84%
because n is the
total number of firms.

01:17:09.910 --> 01:17:11.508 align:middle line:84%
And let's first
say what happens--

01:17:11.508 --> 01:17:14.050 align:middle line:84%
we have to be a little careful
if F is exactly at a boundary.

01:17:14.050 --> 01:17:15.175 align:middle line:90%
Let's not worry about that.

01:17:15.175 --> 01:17:18.230 align:middle line:84%
Let's say what
happens if F is here.

01:17:18.230 --> 01:17:19.450 align:middle line:90%
How many firms enter?

01:17:19.450 --> 01:17:23.110 align:middle line:90%


01:17:23.110 --> 01:17:25.670 align:middle line:84%
Here, no firms enter
because this says,

01:17:25.670 --> 01:17:29.150 align:middle line:84%
the entry cost is higher
than monopoly profits.

01:17:29.150 --> 01:17:32.710 align:middle line:84%
So the only equilibrium
is no one enters.

01:17:32.710 --> 01:17:35.310 align:middle line:84%
That's an equilibrium because
if I were to enter and deviate,

01:17:35.310 --> 01:17:36.970 align:middle line:84%
then I would get
monopoly profits.

01:17:36.970 --> 01:17:40.070 align:middle line:84%
But that's not enough
to offset my fixed cost.

01:17:40.070 --> 01:17:44.270 align:middle line:84%
So if F is here, we
see 0 firms enter.

01:17:44.270 --> 01:17:46.270 align:middle line:84%
So here, I want to keep
track of how many enter.

01:17:46.270 --> 01:17:50.850 align:middle line:90%


01:17:50.850 --> 01:17:54.450 align:middle line:90%
What if the cost is here?

01:17:54.450 --> 01:17:57.370 align:middle line:90%
Now how many are going to enter?

01:17:57.370 --> 01:17:58.190 align:middle line:90%
One, right?

01:17:58.190 --> 01:18:00.910 align:middle line:84%
This satisfies my equation
here with k equals 1.

01:18:00.910 --> 01:18:03.570 align:middle line:84%
There's an equilibrium
with one firm entering.

01:18:03.570 --> 01:18:06.550 align:middle line:84%
If f is between pi
2 star and pi 1,

01:18:06.550 --> 01:18:09.970 align:middle line:84%
that's exactly my formula
here, so we get that one enter.

01:18:09.970 --> 01:18:13.450 align:middle line:84%
And now we can keep
going down to here.

01:18:13.450 --> 01:18:14.590 align:middle line:90%
Two are going to enter.

01:18:14.590 --> 01:18:16.610 align:middle line:90%
We're going to keep going.

01:18:16.610 --> 01:18:23.050 align:middle line:84%
And I guess the tricky thing
is what happens if F is here?

01:18:23.050 --> 01:18:27.530 align:middle line:84%
If F is smaller than pi
n star, then actually

01:18:27.530 --> 01:18:29.170 align:middle line:90%
all n are going to enter.

01:18:29.170 --> 01:18:31.497 align:middle line:84%
And even if F gets
all the way down to 0,

01:18:31.497 --> 01:18:33.330 align:middle line:84%
there's no more firms
than n that can enter.

01:18:33.330 --> 01:18:35.247 align:middle line:84%
So we can't continue
this pattern indefinitely

01:18:35.247 --> 01:18:36.510 align:middle line:90%
because there's only n firms.

01:18:36.510 --> 01:18:38.302 align:middle line:84%
The most that can happen
is they all enter.

01:18:38.302 --> 01:18:42.940 align:middle line:90%


01:18:42.940 --> 01:18:46.340 align:middle line:84%
So here we've used subgame
perfect Nash equilibrium

01:18:46.340 --> 01:18:47.700 align:middle line:90%
as a solution concept.

01:18:47.700 --> 01:18:50.220 align:middle line:84%
We've gotten a unique
prediction in the game.

01:18:50.220 --> 01:18:52.540 align:middle line:84%
And we've actually
I think, delivered

01:18:52.540 --> 01:18:56.240 align:middle line:84%
kind of a nice qualitative,
industrial organization insight,

01:18:56.240 --> 01:18:59.460 align:middle line:84%
which says industries that
have large fixed costs,

01:18:59.460 --> 01:19:01.740 align:middle line:84%
will tend to have
fewer firms in them.

01:19:01.740 --> 01:19:03.980 align:middle line:84%
And industries that have
very small fixed costs,

01:19:03.980 --> 01:19:05.960 align:middle line:84%
will tend to have
more firms in them.

01:19:05.960 --> 01:19:07.500 align:middle line:90%
And this is exactly what we see.

01:19:07.500 --> 01:19:09.860 align:middle line:84%
We see we tend to see
monopolies in industries

01:19:09.860 --> 01:19:11.813 align:middle line:84%
like cell phone
networks and utilities,

01:19:11.813 --> 01:19:13.980 align:middle line:84%
where you have to pay this
huge fixed cost to create

01:19:13.980 --> 01:19:14.973 align:middle line:90%
your network.

01:19:14.973 --> 01:19:16.640 align:middle line:84%
But once you've created
that fixed cost,

01:19:16.640 --> 01:19:18.220 align:middle line:90%
the marginal cost is pretty low.

01:19:18.220 --> 01:19:19.460 align:middle line:90%
What's going on here?

01:19:19.460 --> 01:19:21.780 align:middle line:84%
Well, if F is up
here, it's worth

01:19:21.780 --> 01:19:23.460 align:middle line:84%
it for, say, the
monopoly utility

01:19:23.460 --> 01:19:24.918 align:middle line:90%
provider to enter the market.

01:19:24.918 --> 01:19:26.460 align:middle line:84%
But it's not worth
it for anyone else

01:19:26.460 --> 01:19:29.700 align:middle line:84%
to enter because if they were
to enter, they would only--

01:19:29.700 --> 01:19:31.660 align:middle line:90%
sorry, I should be here.

01:19:31.660 --> 01:19:33.280 align:middle line:90%
Let's say fixed costs are here.

01:19:33.280 --> 01:19:35.500 align:middle line:84%
It was worth it for the
first utility company

01:19:35.500 --> 01:19:38.420 align:middle line:84%
to enter because they're
getting monopoly profits that's

01:19:38.420 --> 01:19:39.940 align:middle line:90%
higher than the fixed cost.

01:19:39.940 --> 01:19:42.392 align:middle line:84%
But if a second firm
contemplates entering,

01:19:42.392 --> 01:19:44.350 align:middle line:84%
they're going to have to
pay this fixed cost F,

01:19:44.350 --> 01:19:45.750 align:middle line:84%
but they're only going
to get these profits

01:19:45.750 --> 01:19:47.310 align:middle line:84%
pi 2 star because
they're going to have

01:19:47.310 --> 01:19:48.930 align:middle line:84%
duopoly competition
with the other firm,

01:19:48.930 --> 01:19:50.090 align:middle line:84%
and it won't be
worth it for them.

01:19:50.090 --> 01:19:51.930 align:middle line:84%
So the simple model
delivered, I think,

01:19:51.930 --> 01:19:55.292 align:middle line:84%
a pretty robust prediction about
the organization of industries.

01:19:55.292 --> 01:19:56.750 align:middle line:84%
I guess one question
I'll leave you

01:19:56.750 --> 01:20:00.110 align:middle line:84%
with, though, is
suppose we have n firms,

01:20:00.110 --> 01:20:03.110 align:middle line:84%
and our equilibrium says
k is strictly less than n,

01:20:03.110 --> 01:20:04.870 align:middle line:90%
should enter.

01:20:04.870 --> 01:20:05.950 align:middle line:90%
That's our equilibrium.

01:20:05.950 --> 01:20:06.790 align:middle line:90%
K of them enter.

01:20:06.790 --> 01:20:08.590 align:middle line:90%
N minus k don't.

01:20:08.590 --> 01:20:09.910 align:middle line:90%
Well, which k?

01:20:09.910 --> 01:20:13.390 align:middle line:84%
How do they coordinate on
which k are the mentor?

01:20:13.390 --> 01:20:15.750 align:middle line:84%
And I think that's
kind of a puzzle

01:20:15.750 --> 01:20:19.110 align:middle line:84%
that maybe this model
can't really explain.

01:20:19.110 --> 01:20:22.610 align:middle line:84%
I'd like to be one of
the firms that enters.

01:20:22.610 --> 01:20:24.910 align:middle line:84%
But if too many
of us enter, it's

01:20:24.910 --> 01:20:27.250 align:middle line:84%
not an equilibrium, so how
do we coordinate on this?

01:20:27.250 --> 01:20:28.018 align:middle line:90%
Do we mix?

01:20:28.018 --> 01:20:29.810 align:middle line:84%
Do we flip a coin,
decide whether to enter?

01:20:29.810 --> 01:20:31.560 align:middle line:84%
Is there something
missing from the model?

01:20:31.560 --> 01:20:35.300 align:middle line:84%
Things to think about, but I'll
see you everyone on Thursday.

01:20:35.300 --> 01:20:40.000 align:middle line:90%