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PROFESSOR: OK, good morning.

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Thanks for being
here this morning.

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So I'm a gross
substitute for Glenn.

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And I'm going to do
two classes this week.

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One on the morality of markets
and one, which is more standard

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IO on regulating
the tech giants.

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So we are going to
go through that.

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And I'm going to
motivate a little bit.

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Oh, by the way, ask as
many questions as you want.

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It makes it more fun for me.

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So when I was here, actually in
those rooms a few years ago when

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I was a student, a
PhD student here,

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that was very simple
because you took [14.]271.

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And [14.]271 was
basically antitrust.

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And then you took [14.]272, and
that was regulation of telecoms,

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electricity,
railroads, and so on.

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And then industrial policy,
you will not talk about.

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That was a shame,
a source of shame.

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Now, things have
changed a little bit

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in the last few years,
partly because one

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neglected some research topics,
which are very important.

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You know, there are lots
of neglected topics in IO,

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like any field actually.

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So that was challenging
our research.

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But also, we have a comeback
of industrial policy, which

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I'll be happy to discuss, but
I'm not planning to [INAUDIBLE].

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So there are a number
of issues which

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have to do with the challenges
faced by too much cooperation.

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So basically, you
have competitors

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or potential
competitors who actually

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might agree on certain things
that might be legitimate,

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but that might also facilitate
collusion between the firms.

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So one of the things that we
worked on in the last 20 years

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is intellectual property,
the sharing of property,

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and maybe we'll discuss
that in [14.]272.

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I don't know.

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Patent pool, cross-licensing,
open source, and the like.

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But then, of course, there
are R&D joint ventures.

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The standard setting, which
is very important, especially

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with the digital economy.

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Now, we have the
issue of data pools.

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So we want the data, and
can you have pools of data?

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Collective negotiations.

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So you know that
collective negotiations

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are prohibited by
the Sherman Act,

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by many other acts after that.

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Because, of course, it's a
kind of monopsony situation.

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But nowadays, we get wallet
providers, like Apple,

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for example, they control
the near field control.

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And that creates problem.

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Should you allow
collective negotiations?

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Some countries do it, but you
don't want boycotts either.

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So it's complicated.

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You have the issues
of common ownership--

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that's a bit different--
by multiple investors,

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like the big mutual funds.

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You have algorithmic collusion.

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So there are lots of
new issues and there

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are others, lots of new
issues that we have to study.

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At the same time,
and that's what

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I'm going to focus
on today, there

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is the issue of too
little cooperation.

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So this is a diagram that you
have to remember in a sense.

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So what I'm going to do is
to look at some platform.

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It has different names.

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In Europe, it's called the core.

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In antitrust parlance,
you will call

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that an essential facility
in the past, whatever.

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And it will be a
two-sided market.

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So on one side, you will have
the consumers, you and me.

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And on the other side,
there will be merchants,

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applications, whatnot.

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Some of them will be like
Amazon Basics or whatever.

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They will be in-house.

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And some others will be
basically third party.

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OK?

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And there might be some
competition between the two

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in each submarket.

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And there are lots of concerns.

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So the concerns are in red.

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So for consumers,
you have the concern

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that there might actually be
some behavioral manipulations

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or some wrong recommendations.

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For example, when the platform
recommends like Amazon does,

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for example,
recommends a merchant,

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there might be some kind
of self-preferencing

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and recommending a
merchant within the house.

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But also, you might-- even
for third-party merchants,

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you might recommend the
merchant which gives the highest

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commission to the platform.

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Behavioral
manipulation, of course,

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all kinds of things that were
they exploit our weaknesses,

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like our propensity to
want to consume right away.

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And then, there is the
issue of contestability,

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which can the new Facebook
or the new Google or the new

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Amazon come in and
replace the incumbent?

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And then, there is
the issue of access

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and fair compensation, which is,
do the apps and the merchant,

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do they get their fair share
of the deal of the value they

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create for the ecosystem?

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Now, each of those things have
to have some kind of translation

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in current law.

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Europe has been a bit in
advance compared to the US.

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Also, the US is
moving there as well.

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So for example, selection
of recommendation.

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There was a P2B regulation
in Europe, behavioral,

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the Artificial Intelligence Act.

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On content curation,
there is a whole law

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called the Digital
Services Act, which

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talks about the obligations
for the platform to curate

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the content for the consumers.

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Since 1996, in the
US, basically, there

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was no obligation.

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But now, people
feel there should

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be obligation on the
platforms actually to curate

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a little bit of content.

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And that's actually very
interesting to study,

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but we are not going to
be discussing that today.

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We are going to focus on
contestability and especially

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for access for compensation, OK?

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And this is an old issue.

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I mean, this is a two-sided
market, of course.

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And before that, people were
worried about the same issues

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in one-sided markets.

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But Chicago School was saying
already in the '80s or '70s that

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you should not be worried
about, for example,

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self-preferencing or
foreclosure or exclusion,

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or whatever you want to call it.

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So the third-party
apps or merchants

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will not get a fair
access to the platform,

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because in the end, the
platform can make money out

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of consumers, OK?

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Can make money out of consumers
if you offer a rich ecosystem

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on the other side.

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So if you offer the consumers
lots of competitive apps

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or merchants, then
your service has a lot

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of benefit for the consumers.

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And you can charge the consumers
for that particular service.

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So basically, the Chicago
School, like 50 years ago,

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came up with the
idea that there is

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nothing to be looked
at because in the end,

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it's in the interest
of a platform.

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Those were not
two-sided markets.

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We were not calling
that platforms.

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But that's the end of
the gatekeeper, actually,

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that in the benefit
of the gatekeeper

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actually to offer
a rich ecosystem.

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So it doesn't want
to discriminate here

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because you can always raise
the price to the consumer.

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You offer a better
service, higher surplus,

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you raise the price
to the consumer, OK?

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So we are going to
focus mainly on this,

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but I will say a few things
about contestability as well.

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Do you have questions?

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OK, so what's wrong with
the Chicago School argument?

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Three things.

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OK, let's go back to this.

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I told you, if you
offer a rich ecosystem,

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then you can always raise
a price to consumers.

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But for that to be the
case, it must be the case

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that, first, you can raise
it, and you want to raise it,

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which are two different things.

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Now, if you are-- and that
was the case in regulation--

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if your price to the
consumers is regulated,

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then you cannot raise a price to
consumers because the regulator

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is controlling that.

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So if you cannot
make more money here,

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you may want to make
more money there, right?

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So that was the
old style theory,

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which was applied
to public utilities.

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Now, in two-sided markets,
it's a bit different.

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You can always raise
the price to consumers.

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You can always charge a yearly
fee or whatever or monthly fee.

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But you may not want to.

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And that's very specific
to the digital economy

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or mostly specific to that
because if your optimal price

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to the consumer is
negative, which is often

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the case when your
opportunity cost is negative,

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then you want to charge--

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you want to subsidize the
consumer to use the platform.

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Actually, most of
the services you use,

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when you use Google or
Amazon or whatever, Facebook,

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you're not paying anything.

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The price is zero.

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If the price is zero, that
means that the optimal price

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for those platform is negative.

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Now, why is that negative?

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Simply because the opportunity
cost is highly negative.

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Because whenever you
use the platform,

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the platform is going to make
a lot of money on this side,

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like merchant fees, for
example, or whatever.

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So what's happening is that
if you enlist the consumer,

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then you are going to make a
lot of money on that consumer

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from the merchants or the apps.

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So that means that your marginal
cost of serving the consumer

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is actually negative,
actually highly negative.

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And that's why we all pay
zero on many services,

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and fantastic services,
and you still pay zero.

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That means that the
optimal price is negative.

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But you cannot charge a negative
price because otherwise,

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if you charge a negative
price, there will be arbitrage.

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They will be using bots,
fake consumers so as

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to collect the money.

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And those fake consumers are
of no interest to the platform

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because they are not going
to buy goods and services

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from the merchants.

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And the other way of
making money, for example,

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is to have advertising,
like Google or Facebook.

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But of course,
advertising to bots

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is not very exciting and so on.

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Or you could collect data.

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But again, the data you collect
from bots is completely useless.

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So the point is that you
cannot charge negative prices

00:12:23.790 --> 00:12:25.390 align:middle line:90%
because of arbitrage.

00:12:25.390 --> 00:12:28.284 align:middle line:90%


00:12:28.284 --> 00:12:32.030 align:middle line:84%
And therefore, you're
constrained to actually charge

00:12:32.030 --> 00:12:33.630 align:middle line:90%
a price which is equal to zero.

00:12:33.630 --> 00:12:35.960 align:middle line:84%
You like to charge a
negative price so as

00:12:35.960 --> 00:12:37.650 align:middle line:90%
to attract more consumers.

00:12:37.650 --> 00:12:40.880 align:middle line:84%
They are very profitable because
of the money you make on this

00:12:40.880 --> 00:12:43.830 align:middle line:90%
side, but you cannot do that.

00:12:43.830 --> 00:12:48.480 align:middle line:84%
So you are at, what I will be
calling the zero lower bound.

00:12:48.480 --> 00:12:51.590 align:middle line:84%
Just like in macro, there
will be a zero lower bound.

00:12:51.590 --> 00:12:55.100 align:middle line:84%
And you will be at the
zero lower bound here.

00:12:55.100 --> 00:12:57.980 align:middle line:84%
And you immediately see that
the Chicago School argument

00:12:57.980 --> 00:13:04.460 align:middle line:84%
doesn't hold anymore
because the price at zero

00:13:04.460 --> 00:13:05.460 align:middle line:90%
is already too high.

00:13:05.460 --> 00:13:07.110 align:middle line:84%
So you don't want
to raise it further.

00:13:07.110 --> 00:13:09.798 align:middle line:90%


00:13:09.798 --> 00:13:15.470 align:middle line:84%
That's the first reason why
actually the Chicago School

00:13:15.470 --> 00:13:18.020 align:middle line:90%
argument doesn't work.

00:13:18.020 --> 00:13:22.050 align:middle line:84%
Second argument-- I'm just
giving you the list, right--

00:13:22.050 --> 00:13:25.060 align:middle line:84%
is the contestability
of the core segment.

00:13:25.060 --> 00:13:28.250 align:middle line:84%
And there are several
theories on this.

00:13:28.250 --> 00:13:36.560 align:middle line:84%
The first is imagine that
you favor your in-house apps.

00:13:36.560 --> 00:13:40.070 align:middle line:84%
Maybe the competitive
apps, the third-party apps,

00:13:40.070 --> 00:13:42.223 align:middle line:90%
will actually exit the market.

00:13:42.223 --> 00:13:45.050 align:middle line:90%


00:13:45.050 --> 00:13:48.380 align:middle line:84%
Now, that's going to hurt you
because you offer an ecosystem

00:13:48.380 --> 00:13:50.170 align:middle line:90%
which is not as nice.

00:13:50.170 --> 00:13:53.480 align:middle line:84%
There's less diversity
and less competition.

00:13:53.480 --> 00:13:57.110 align:middle line:84%
But maybe those
third-party apps will--

00:13:57.110 --> 00:14:00.470 align:middle line:84%
because they don't
get consumers anymore,

00:14:00.470 --> 00:14:03.020 align:middle line:84%
they are going to
exit the market.

00:14:03.020 --> 00:14:08.000 align:middle line:84%
And next time, the next
Google or Facebook or whatever

00:14:08.000 --> 00:14:12.390 align:middle line:84%
comes in, there won't be
apps for this new competitor

00:14:12.390 --> 00:14:16.750 align:middle line:84%
because you will be
controlling most of the apps.

00:14:16.750 --> 00:14:20.440 align:middle line:84%
So one way of seeing that
is that you could have

00:14:20.440 --> 00:14:23.500 align:middle line:90%
an application bias to entry.

00:14:23.500 --> 00:14:30.200 align:middle line:84%
So if you prey on third-party
apps, and they exit the market,

00:14:30.200 --> 00:14:33.260 align:middle line:84%
then you protect
your core facility.

00:14:33.260 --> 00:14:35.740 align:middle line:84%
It's like an investment
because in the short run

00:14:35.740 --> 00:14:37.210 align:middle line:90%
you are losing money.

00:14:37.210 --> 00:14:40.720 align:middle line:84%
You're offering an ecosystem
which is not as rich,

00:14:40.720 --> 00:14:43.870 align:middle line:84%
but in the long run,
you may prevent entry

00:14:43.870 --> 00:14:46.446 align:middle line:90%
by rival platforms.

00:14:46.446 --> 00:14:49.830 align:middle line:90%


00:14:49.830 --> 00:14:54.300 align:middle line:84%
The other possibility
is that you

00:14:54.300 --> 00:14:58.500 align:middle line:84%
might want to avoid that those
third-party apps actually become

00:14:58.500 --> 00:15:00.330 align:middle line:90%
core essential facilities.

00:15:00.330 --> 00:15:05.610 align:middle line:84%
And that was the case for
Microsoft in the old Microsoft

00:15:05.610 --> 00:15:11.790 align:middle line:84%
trial, where you remember
the browser case in the '90s.

00:15:11.790 --> 00:15:14.160 align:middle line:84%
The browser case,
there was Netscape,

00:15:14.160 --> 00:15:17.490 align:middle line:84%
which was a third-party
app, which was a browser.

00:15:17.490 --> 00:15:22.020 align:middle line:84%
And there was Internet
Explorer for Microsoft.

00:15:22.020 --> 00:15:27.600 align:middle line:84%
And what happened
is that Netscape--

00:15:27.600 --> 00:15:29.700 align:middle line:90%
that was a claim.

00:15:29.700 --> 00:15:32.310 align:middle line:84%
Netscape said we
are discriminated

00:15:32.310 --> 00:15:40.290 align:middle line:84%
against by Microsoft Windows,
which was close to a monopoly.

00:15:40.290 --> 00:15:43.640 align:middle line:90%


00:15:43.640 --> 00:15:46.730 align:middle line:84%
And the concern
of Microsoft seems

00:15:46.730 --> 00:15:50.120 align:middle line:84%
to have been that
this app could have

00:15:50.120 --> 00:15:53.810 align:middle line:90%
become a core segment itself.

00:15:53.810 --> 00:15:57.580 align:middle line:84%
By adding lines of
code, the browser

00:15:57.580 --> 00:16:01.030 align:middle line:84%
could have become
an operating system.

00:16:01.030 --> 00:16:02.268 align:middle line:90%
Whether it's right or wrong.

00:16:02.268 --> 00:16:02.810 align:middle line:90%
I don't know.

00:16:02.810 --> 00:16:06.100 align:middle line:84%
But the story is
correct, at least.

00:16:06.100 --> 00:16:10.750 align:middle line:90%
And that was a possibility.

00:16:10.750 --> 00:16:14.920 align:middle line:84%
So in that case, the idea,
when you discriminate

00:16:14.920 --> 00:16:19.660 align:middle line:84%
among those apps, is really
to protect your core segment,

00:16:19.660 --> 00:16:22.150 align:middle line:90%
indirectly, if you want.

00:16:22.150 --> 00:16:29.920 align:middle line:84%
And finally, this third reason
why the Chicago School argument

00:16:29.920 --> 00:16:34.160 align:middle line:84%
is incorrect, I mean, it's like
all those benchmarks in a sense.

00:16:34.160 --> 00:16:36.770 align:middle line:84%
I mean, if you take
Modigliani-Miller

00:16:36.770 --> 00:16:41.440 align:middle line:84%
or Atkinson-Stiglitz or
all what you learn here,

00:16:41.440 --> 00:16:43.250 align:middle line:90%
you don't really believe in it.

00:16:43.250 --> 00:16:46.630 align:middle line:84%
But somehow, it's very important
for structuring the ideas

00:16:46.630 --> 00:16:48.850 align:middle line:84%
because it gives
you a benchmark.

00:16:48.850 --> 00:16:53.500 align:middle line:84%
And if you don't believe in
it, you have to ask yourself--

00:16:53.500 --> 00:16:56.190 align:middle line:84%
it's perfectly correct
in terms of logic.

00:16:56.190 --> 00:16:58.080 align:middle line:84%
And you have to
ask yourself, why

00:16:58.080 --> 00:17:00.480 align:middle line:90%
is that I don't believe in it?

00:17:00.480 --> 00:17:04.859 align:middle line:84%
And then, that's the
thing is that forces

00:17:04.859 --> 00:17:07.740 align:middle line:84%
you to think more and
structure your thought

00:17:07.740 --> 00:17:08.936 align:middle line:90%
around this benchmark.

00:17:08.936 --> 00:17:11.579 align:middle line:90%


00:17:11.579 --> 00:17:16.980 align:middle line:84%
So the third-- and this is
going to be more obscure,

00:17:16.980 --> 00:17:19.440 align:middle line:84%
but we are going to go
through that in detail--

00:17:19.440 --> 00:17:25.690 align:middle line:84%
is that you have to zero
lower bounds in those markets.

00:17:25.690 --> 00:17:31.230 align:middle line:84%
You have the zero lower
bound on the consumers,

00:17:31.230 --> 00:17:36.900 align:middle line:84%
but you could have a zero lower
bound by apps and merchant

00:17:36.900 --> 00:17:39.480 align:middle line:84%
when they deal with
third-party, like advertisers

00:17:39.480 --> 00:17:42.120 align:middle line:90%
or their own merchants.

00:17:42.120 --> 00:17:45.270 align:middle line:84%
And there you have a
second zero lower bound.

00:17:45.270 --> 00:17:51.720 align:middle line:84%
And that's going to mean
that those apps actually

00:17:51.720 --> 00:17:54.060 align:middle line:84%
make supranormal
profits, profits

00:17:54.060 --> 00:17:56.700 align:middle line:84%
which are too high because
of zero lower bound.

00:17:56.700 --> 00:17:59.670 align:middle line:84%
I will come back
to that in detail.

00:17:59.670 --> 00:18:02.040 align:middle line:90%
OK?

00:18:02.040 --> 00:18:06.320 align:middle line:90%
OK, so do you have questions?

00:18:06.320 --> 00:18:07.370 align:middle line:90%
No?

00:18:07.370 --> 00:18:10.440 align:middle line:90%
OK, so limits to regulation.

00:18:10.440 --> 00:18:14.630 align:middle line:84%
So I'm going to go
very fast through that.

00:18:14.630 --> 00:18:16.820 align:middle line:84%
Those platforms,
they look very much

00:18:16.820 --> 00:18:18.586 align:middle line:90%
like the old public utilities.

00:18:18.586 --> 00:18:21.420 align:middle line:90%


00:18:21.420 --> 00:18:24.270 align:middle line:90%
They benefit from network sites.

00:18:24.270 --> 00:18:28.800 align:middle line:84%
They have extremely low
marginal costs, often zero.

00:18:28.800 --> 00:18:33.180 align:middle line:84%
So they are public
utilities with a vengeance.

00:18:33.180 --> 00:18:39.360 align:middle line:84%
Now, in the early 20th century,
it was decided to regulate

00:18:39.360 --> 00:18:41.220 align:middle line:84%
the telecom industry,
the railroads,

00:18:41.220 --> 00:18:48.760 align:middle line:84%
the electricity industry, and so
on, basically, on those grounds,

00:18:48.760 --> 00:18:53.380 align:middle line:84%
the idea that you will have too
much market power or monopoly

00:18:53.380 --> 00:18:58.120 align:middle line:84%
power because of high fixed
costs, low marginal costs,

00:18:58.120 --> 00:19:00.670 align:middle line:84%
network externalities,
and the like, OK?

00:19:00.670 --> 00:19:05.980 align:middle line:84%
Now, does it mean that we should
be regulating the platforms

00:19:05.980 --> 00:19:07.560 align:middle line:90%
like public utilities?

00:19:07.560 --> 00:19:09.600 align:middle line:90%
The answer is no.

00:19:09.600 --> 00:19:13.560 align:middle line:84%
Because there are
two big differences,

00:19:13.560 --> 00:19:19.050 align:middle line:84%
at least two big differences,
between utilities and platforms.

00:19:19.050 --> 00:19:23.220 align:middle line:84%
Even so, the technology
looks the same.

00:19:23.220 --> 00:19:26.550 align:middle line:84%
The first is that Microsoft
and Apple and Google

00:19:26.550 --> 00:19:30.490 align:middle line:90%
and so on are just global firms.

00:19:30.490 --> 00:19:34.300 align:middle line:84%
All the public utilities in
the past in every country

00:19:34.300 --> 00:19:37.700 align:middle line:90%
were national or even regional.

00:19:37.700 --> 00:19:41.050 align:middle line:84%
But they were not
multinationals.

00:19:41.050 --> 00:19:45.160 align:middle line:84%
So your telecom companies in the
past or your electricity company

00:19:45.160 --> 00:19:47.470 align:middle line:84%
was a local company,
and there was

00:19:47.470 --> 00:19:54.760 align:middle line:84%
one regulator who had
oversight of the entire firm.

00:19:54.760 --> 00:20:00.220 align:middle line:84%
But then, imagine you wanted to
regulate Apple or Google, which

00:20:00.220 --> 00:20:05.000 align:middle line:84%
are in somewhere between
100 and 200 countries,

00:20:05.000 --> 00:20:07.070 align:middle line:84%
it will be very
difficult, actually,

00:20:07.070 --> 00:20:12.090 align:middle line:84%
to regulate because you will
not have the information.

00:20:12.090 --> 00:20:15.000 align:middle line:84%
Cross countries,
transfer prices,

00:20:15.000 --> 00:20:17.910 align:middle line:84%
you don't have a clue about
whether they make sense.

00:20:17.910 --> 00:20:19.770 align:middle line:84%
And then, the other
question is, who

00:20:19.770 --> 00:20:23.610 align:middle line:84%
is going to ensure a fair rate
of return to the shareholders?

00:20:23.610 --> 00:20:28.770 align:middle line:84%
Given that you have many
countries, it's impossible.

00:20:28.770 --> 00:20:36.440 align:middle line:84%
The other big thing is that
things change very fast.

00:20:36.440 --> 00:20:43.070 align:middle line:84%
And you get huge profits,
but the industrial landscape

00:20:43.070 --> 00:20:44.130 align:middle line:90%
changes very fast.

00:20:44.130 --> 00:20:48.290 align:middle line:84%
So if you think about
railroads, the technology

00:20:48.290 --> 00:20:52.250 align:middle line:84%
hasn't changed for
150 years or more.

00:20:52.250 --> 00:20:53.700 align:middle line:90%
I mean, I'm exaggerating.

00:20:53.700 --> 00:20:55.020 align:middle line:90%
Those are not the same trains.

00:20:55.020 --> 00:20:58.640 align:middle line:84%
But by and large,
it's the same story

00:20:58.640 --> 00:21:02.880 align:middle line:90%
since the creation of railroads.

00:21:02.880 --> 00:21:06.060 align:middle line:84%
And telecoms, until the '90s,
where basically the same

00:21:06.060 --> 00:21:11.830 align:middle line:90%
as in the early 20th century.

00:21:11.830 --> 00:21:13.930 align:middle line:90%
Electricity is the same.

00:21:13.930 --> 00:21:17.806 align:middle line:84%
Kirchhoff's law is
still Kirchhoff's law.

00:21:17.806 --> 00:21:21.010 align:middle line:90%
It's not that new.

00:21:21.010 --> 00:21:24.770 align:middle line:84%
Whereas here, the segments
change all the time.

00:21:24.770 --> 00:21:26.980 align:middle line:84%
And actually, you don't
even follow the firms

00:21:26.980 --> 00:21:30.360 align:middle line:90%
along their life cycle.

00:21:30.360 --> 00:21:34.470 align:middle line:84%
So, for example, if you
wanted to regulate Google

00:21:34.470 --> 00:21:40.040 align:middle line:84%
and do it right, even if Google
were just in one country,

00:21:40.040 --> 00:21:43.970 align:middle line:84%
you would have to ask yourself,
what is a fair rate of return

00:21:43.970 --> 00:21:46.480 align:middle line:90%
for Google?

00:21:46.480 --> 00:21:49.330 align:middle line:84%
So you will have to understand
what the investment of Google

00:21:49.330 --> 00:21:53.810 align:middle line:84%
was, except that you didn't
follow Google along the life

00:21:53.810 --> 00:21:54.830 align:middle line:90%
cycle.

00:21:54.830 --> 00:22:01.130 align:middle line:84%
You'll be starting following
Google now, not 20 years ago.

00:22:01.130 --> 00:22:01.680 align:middle line:90%
I don't know.

00:22:01.680 --> 00:22:06.920 align:middle line:84%
Google started even
earlier, but so that

00:22:06.920 --> 00:22:08.450 align:middle line:90%
would be an issue, right?

00:22:08.450 --> 00:22:10.250 align:middle line:84%
And then, you have
to ask yourself,

00:22:10.250 --> 00:22:13.860 align:middle line:84%
which it's like for
drugs in a sense.

00:22:13.860 --> 00:22:15.990 align:middle line:84%
You know that the
price for developing

00:22:15.990 --> 00:22:19.500 align:middle line:84%
a new drug or antibiotic
is, people say

00:22:19.500 --> 00:22:22.150 align:middle line:90%
it's $1 billion or $2 billion.

00:22:22.150 --> 00:22:24.510 align:middle line:90%
Who knows.

00:22:24.510 --> 00:22:26.030 align:middle line:90%
How do you get to such numbers?

00:22:26.030 --> 00:22:29.190 align:middle line:84%
Well, the answer is simple, is
that the probability of success

00:22:29.190 --> 00:22:32.090 align:middle line:90%
is incredibly small.

00:22:32.090 --> 00:22:34.200 align:middle line:90%
But is that 1%?

00:22:34.200 --> 00:22:35.610 align:middle line:90%
Is that 3%?

00:22:35.610 --> 00:22:37.910 align:middle line:84%
It makes a huge
difference in terms

00:22:37.910 --> 00:22:40.646 align:middle line:84%
of the reward you
should be giving.

00:22:40.646 --> 00:22:44.660 align:middle line:84%
And it depends on the
exact drug and so on.

00:22:44.660 --> 00:22:45.900 align:middle line:90%
And the same thing here.

00:22:45.900 --> 00:22:48.340 align:middle line:84%
What was the probability
of success of Google

00:22:48.340 --> 00:22:49.820 align:middle line:90%
when Google started?

00:22:49.820 --> 00:22:51.850 align:middle line:90%
Does anyone know?

00:22:51.850 --> 00:22:54.050 align:middle line:84%
The answer is,
yeah, no, we don't.

00:22:54.050 --> 00:22:55.390 align:middle line:90%
We just don't know.

00:22:55.390 --> 00:22:58.150 align:middle line:90%
So that's very difficult.

00:22:58.150 --> 00:23:00.070 align:middle line:84%
And related to that,
there is the issue

00:23:00.070 --> 00:23:07.720 align:middle line:84%
of changing products, which is
it's very difficult to know.

00:23:07.720 --> 00:23:10.300 align:middle line:84%
There are lots of
proposals about breakups,

00:23:10.300 --> 00:23:15.490 align:middle line:84%
so we should cut Google
into pieces, for example.

00:23:15.490 --> 00:23:17.030 align:middle line:90%
But what are the pieces?

00:23:17.030 --> 00:23:18.830 align:middle line:84%
I mean, for railroads,
it's very simple.

00:23:18.830 --> 00:23:23.920 align:middle line:84%
The tracks and stations you
know are natural monopolies.

00:23:23.920 --> 00:23:26.180 align:middle line:84%
You're not going to
have another track

00:23:26.180 --> 00:23:30.620 align:middle line:90%
and stations in south station.

00:23:30.620 --> 00:23:36.250 align:middle line:84%
You cannot replace
the Amtrak railroad.

00:23:36.250 --> 00:23:40.360 align:middle line:84%
So you can have competition
on operating trains,

00:23:40.360 --> 00:23:45.670 align:middle line:84%
but you cannot have competition
on new lines, new tracks,

00:23:45.670 --> 00:23:48.460 align:middle line:84%
and new stations
in the city center.

00:23:48.460 --> 00:23:49.640 align:middle line:90%
It's impossible.

00:23:49.640 --> 00:23:52.250 align:middle line:90%


00:23:52.250 --> 00:23:56.090 align:middle line:84%
Whereas here, things
change very fast.

00:23:56.090 --> 00:23:58.380 align:middle line:90%
So how do you do it?

00:23:58.380 --> 00:23:59.490 align:middle line:90%
What do you break up?

00:23:59.490 --> 00:24:01.890 align:middle line:90%
OK, so let me.

00:24:01.890 --> 00:24:06.240 align:middle line:84%
So we're going to talk a fair
amount about the Digital Market

00:24:06.240 --> 00:24:11.130 align:middle line:84%
Act, which this is one which
is focused on regulating

00:24:11.130 --> 00:24:14.760 align:middle line:90%
dominant platforms.

00:24:14.760 --> 00:24:16.320 align:middle line:90%
And it has two big--

00:24:16.320 --> 00:24:18.430 align:middle line:84%
I already mentioned
it has two big items.

00:24:18.430 --> 00:24:20.010 align:middle line:90%
The first is on contestability.

00:24:20.010 --> 00:24:23.880 align:middle line:84%
The second is on
equity or fairness.

00:24:23.880 --> 00:24:28.050 align:middle line:84%
So the contestability is
about a more efficient entrant

00:24:28.050 --> 00:24:29.500 align:middle line:90%
entering the core segment.

00:24:29.500 --> 00:24:34.560 align:middle line:84%
The other one is about
the merchants or the apps.

00:24:34.560 --> 00:24:37.320 align:middle line:84%
There is a similar
thing in the US,

00:24:37.320 --> 00:24:40.590 align:middle line:84%
which is I don't know if
there's been any new--

00:24:40.590 --> 00:24:42.780 align:middle line:84%
maybe you know,
actually-- there's

00:24:42.780 --> 00:24:46.240 align:middle line:84%
been a new law, which has
been passed in the US.

00:24:46.240 --> 00:24:48.460 align:middle line:84%
It's very much
emulating the DMA.

00:24:48.460 --> 00:24:50.730 align:middle line:84%
It's very similar to
the DMA, so I'm not

00:24:50.730 --> 00:24:53.700 align:middle line:84%
going to talk very
much about it.

00:24:53.700 --> 00:24:59.180 align:middle line:84%
So basically, the DMA is
going to designate platforms.

00:24:59.180 --> 00:25:02.080 align:middle line:84%
There will be a very strong
competition among platforms

00:25:02.080 --> 00:25:07.240 align:middle line:84%
not to be part of the
designated platforms based

00:25:07.240 --> 00:25:10.870 align:middle line:84%
on some core services,
like search, for example,

00:25:10.870 --> 00:25:17.290 align:middle line:84%
or social networks
or a marketplace.

00:25:17.290 --> 00:25:20.030 align:middle line:84%
There will be threshold
for whatever they mean.

00:25:20.030 --> 00:25:25.600 align:middle line:84%
So now, you can imagine that the
lawyers are having a great time

00:25:25.600 --> 00:25:31.130 align:middle line:84%
about if you think about,
OK, is the threshold for 45

00:25:31.130 --> 00:25:35.680 align:middle line:90%
million users that's in the EU.

00:25:35.680 --> 00:25:36.520 align:middle line:90%
Are they active?

00:25:36.520 --> 00:25:37.280 align:middle line:90%
How active?

00:25:37.280 --> 00:25:40.880 align:middle line:84%
You can imagine spending
years discussing that

00:25:40.880 --> 00:25:43.090 align:middle line:90%
the number of business users.

00:25:43.090 --> 00:25:46.320 align:middle line:84%
You can possibly appeal
if you don't like it.

00:25:46.320 --> 00:25:49.190 align:middle line:90%


00:25:49.190 --> 00:25:54.890 align:middle line:84%
And we know, by the way,
the focus on big platforms.

00:25:54.890 --> 00:25:57.500 align:middle line:84%
So really, the
targets are clear--

00:25:57.500 --> 00:26:01.010 align:middle line:84%
Google, Facebook,
Apple, and so on.

00:26:01.010 --> 00:26:06.230 align:middle line:84%
But we know that
actually platforms--

00:26:06.230 --> 00:26:08.720 align:middle line:84%
I don't know-- you haven't
done two sided markets yet,

00:26:08.720 --> 00:26:13.210 align:middle line:84%
but they can have actually
quite a lot of market power,

00:26:13.210 --> 00:26:15.820 align:middle line:84%
even if they are small, as
long as they control access

00:26:15.820 --> 00:26:18.450 align:middle line:90%
to the consumer.

00:26:18.450 --> 00:26:20.430 align:middle line:84%
So you can be a small
platform and have

00:26:20.430 --> 00:26:23.650 align:middle line:90%
a lot of monopoly power.

00:26:23.650 --> 00:26:25.856 align:middle line:90%
And then, there are obligations.

00:26:25.856 --> 00:26:28.810 align:middle line:90%


00:26:28.810 --> 00:26:31.690 align:middle line:84%
So, for example, you have to
be fair to the merchants who

00:26:31.690 --> 00:26:35.090 align:middle line:90%
are third-party merchants.

00:26:35.090 --> 00:26:38.670 align:middle line:84%
And lots of that
is self-execution.

00:26:38.670 --> 00:26:42.980 align:middle line:84%
So the European Union
doesn't have the resources.

00:26:42.980 --> 00:26:47.630 align:middle line:84%
I mean, they already have to do
the entire antitrust and merger

00:26:47.630 --> 00:26:48.180 align:middle line:90%
analysis.

00:26:48.180 --> 00:26:50.150 align:middle line:84%
And then on top
of that, they will

00:26:50.150 --> 00:26:57.550 align:middle line:90%
have to monitor the platforms.

00:26:57.550 --> 00:27:00.550 align:middle line:84%
So they become a
regulator in a sense.

00:27:00.550 --> 00:27:05.740 align:middle line:84%
And so they don't really have
the resources to regulate.

00:27:05.740 --> 00:27:07.810 align:middle line:84%
It's not like the
FCC or whatever.

00:27:07.810 --> 00:27:10.510 align:middle line:90%


00:27:10.510 --> 00:27:12.490 align:middle line:84%
I mean, they will hire
a few staff, of course,

00:27:12.490 --> 00:27:14.290 align:middle line:90%
but that won't be sufficient.

00:27:14.290 --> 00:27:16.580 align:middle line:84%
So there is a lot
of self-execution.

00:27:16.580 --> 00:27:20.290 align:middle line:84%
So basically, the platform has
to explain how it makes sure

00:27:20.290 --> 00:27:26.300 align:middle line:84%
that there is no discrimination
among merchants and the like.

00:27:26.300 --> 00:27:32.150 align:middle line:84%
And same thing, by the way,
for the content curation.

00:27:32.150 --> 00:27:37.160 align:middle line:84%
And then, the question is
where it's going to be located.

00:27:37.160 --> 00:27:38.900 align:middle line:84%
Probably I will know
more because I do

00:27:38.900 --> 00:27:42.980 align:middle line:90%
a speech in Brussels next week.

00:27:42.980 --> 00:27:44.930 align:middle line:90%
So probably, I will know.

00:27:44.930 --> 00:27:48.200 align:middle line:84%
Last time I discussed with them,
they were still unsure about

00:27:48.200 --> 00:27:51.530 align:middle line:84%
whether it will be DG Comp,
so the competition authority,

00:27:51.530 --> 00:27:55.316 align:middle line:84%
or DG Connect, which will be
like the telecom regulator.

00:27:55.316 --> 00:27:58.220 align:middle line:90%


00:27:58.220 --> 00:27:59.940 align:middle line:90%
And there are pros and cons.

00:27:59.940 --> 00:28:01.580 align:middle line:84%
I mean, I'm more in
favor of DG Comp.

00:28:01.580 --> 00:28:05.870 align:middle line:84%
But of course, you know,
some of some of the expertise

00:28:05.870 --> 00:28:10.190 align:middle line:90%
on those things are DG Connect.

00:28:10.190 --> 00:28:15.080 align:middle line:84%
How to do interconnection, for
example, or interoperability

00:28:15.080 --> 00:28:16.930 align:middle line:90%
or the like.

00:28:16.930 --> 00:28:18.760 align:middle line:90%
Big fines.

00:28:18.760 --> 00:28:21.070 align:middle line:90%
Relatively big fines.

00:28:21.070 --> 00:28:22.840 align:middle line:84%
So that's going to
be interesting to see

00:28:22.840 --> 00:28:24.760 align:middle line:90%
what's going to happen.

00:28:24.760 --> 00:28:29.730 align:middle line:84%
There's a lot of
public policy, which

00:28:29.730 --> 00:28:32.850 align:middle line:84%
is going to be extremely
interesting to look

00:28:32.850 --> 00:28:34.150 align:middle line:90%
at in the next few years.

00:28:34.150 --> 00:28:37.050 align:middle line:84%
So if you're interested
in working on that,

00:28:37.050 --> 00:28:39.635 align:middle line:90%
that's really worth doing.

00:28:39.635 --> 00:28:45.220 align:middle line:90%


00:28:45.220 --> 00:28:48.790 align:middle line:90%
It's Monday morning, I see.

00:28:48.790 --> 00:28:51.340 align:middle line:90%
You haven't warmed up yet.

00:28:51.340 --> 00:28:54.980 align:middle line:90%
OK, so competition and fairness.

00:28:54.980 --> 00:28:56.880 align:middle line:90%
You got the slides, right?

00:28:56.880 --> 00:28:59.290 align:middle line:90%
I already sent them.

00:28:59.290 --> 00:29:01.930 align:middle line:90%
So competition and fairness.

00:29:01.930 --> 00:29:05.960 align:middle line:84%
So you have the economics
of open ecosystem.

00:29:05.960 --> 00:29:12.210 align:middle line:84%
So-- you have two
[? prior ?] cases.

00:29:12.210 --> 00:29:13.650 align:middle line:90%
I mean, one is the clearest.

00:29:13.650 --> 00:29:17.030 align:middle line:90%


00:29:17.030 --> 00:29:21.620 align:middle line:84%
If you want to book an
apartment on Airbnb, Airbnb

00:29:21.620 --> 00:29:24.170 align:middle line:84%
is not going to
have-- it's only going

00:29:24.170 --> 00:29:26.900 align:middle line:84%
to have third-party
merchants or apps

00:29:26.900 --> 00:29:30.530 align:middle line:84%
or whatever you want to call
them because it doesn't own

00:29:30.530 --> 00:29:34.610 align:middle line:90%
any apartment, I believe so.

00:29:34.610 --> 00:29:40.175 align:middle line:84%
Same thing, Bookings,
Bookings doesn't own

00:29:40.175 --> 00:29:43.640 align:middle line:90%
all the hotels in principle.

00:29:43.640 --> 00:29:48.710 align:middle line:84%
Or you could have everything
done in the same roof.

00:29:48.710 --> 00:29:51.590 align:middle line:84%
So you could have
vertical integration.

00:29:51.590 --> 00:29:55.910 align:middle line:84%
Almost no platform nowadays is
vertically integrated fully.

00:29:55.910 --> 00:29:58.230 align:middle line:84%
It may have
something in between.

00:29:58.230 --> 00:30:04.100 align:middle line:84%
Actually, most of the action is
here, where you have this mix.

00:30:04.100 --> 00:30:06.410 align:middle line:84%
From the diagram,
you have this mix

00:30:06.410 --> 00:30:10.440 align:middle line:84%
of in-house apps and
third-party apps.

00:30:10.440 --> 00:30:12.560 align:middle line:84%
And it's pretty clear
with Amazon marketplace

00:30:12.560 --> 00:30:16.370 align:middle line:84%
because you have Whole Foods,
you have Amazon Basics.

00:30:16.370 --> 00:30:18.980 align:middle line:84%
But most of them,
if you take Google,

00:30:18.980 --> 00:30:20.900 align:middle line:84%
you take-- they
all have some kind

00:30:20.900 --> 00:30:24.360 align:middle line:84%
of mixture between
in-house and third-party.

00:30:24.360 --> 00:30:25.980 align:middle line:90%
OK?

00:30:25.980 --> 00:30:27.600 align:middle line:90%
I think that model--

00:30:27.600 --> 00:30:30.420 align:middle line:84%
I mean, Apple,
historically, has always

00:30:30.420 --> 00:30:33.180 align:middle line:84%
been much more
vertically integrated,

00:30:33.180 --> 00:30:34.550 align:middle line:90%
including into hardware.

00:30:34.550 --> 00:30:37.740 align:middle line:90%


00:30:37.740 --> 00:30:42.780 align:middle line:84%
But by and large, the
platform economics

00:30:42.780 --> 00:30:45.600 align:middle line:90%
is mostly in that thing.

00:30:45.600 --> 00:30:48.340 align:middle line:84%
Of course, you have a
few pure brokers as well.

00:30:48.340 --> 00:30:51.440 align:middle line:84%
But you know, most of
the action is here.

00:30:51.440 --> 00:30:56.420 align:middle line:84%
Now, what some of the literature
actually is asking the question,

00:30:56.420 --> 00:30:59.150 align:middle line:84%
should we actually
prohibit those platforms

00:30:59.150 --> 00:31:01.320 align:middle line:90%
from having their own merchants?

00:31:01.320 --> 00:31:06.440 align:middle line:84%
So should we impose
a pure broker model?

00:31:06.440 --> 00:31:07.850 align:middle line:90%
OK?

00:31:07.850 --> 00:31:10.160 align:middle line:90%
That has some costs, of course.

00:31:10.160 --> 00:31:18.380 align:middle line:84%
First because they may have
their own innovation, after all.

00:31:18.380 --> 00:31:22.050 align:middle line:84%
The platform, they can find
new needs for the consumer.

00:31:22.050 --> 00:31:26.210 align:middle line:84%
They can have new technology
that might introduce.

00:31:26.210 --> 00:31:30.050 align:middle line:84%
They might want to
create some competition

00:31:30.050 --> 00:31:33.920 align:middle line:84%
for the third-party apps if
they are too monopolistic.

00:31:33.920 --> 00:31:36.800 align:middle line:84%
Also, that's dangerous
because something

00:31:36.800 --> 00:31:41.090 align:middle line:84%
that makes people very angry
at Amazon, for example,

00:31:41.090 --> 00:31:46.460 align:middle line:84%
is that supposedly Amazon
uses third-party apps

00:31:46.460 --> 00:31:52.220 align:middle line:84%
data to actually mimic
the services they offer.

00:31:52.220 --> 00:31:53.780 align:middle line:90%
They see what is profitable.

00:31:53.780 --> 00:31:55.040 align:middle line:90%
They have all the data.

00:31:55.040 --> 00:31:57.920 align:middle line:84%
And then they can
also see how it works.

00:31:57.920 --> 00:32:03.050 align:middle line:84%
And they can mimic and try
to basically substitute

00:32:03.050 --> 00:32:04.380 align:middle line:90%
for the incumbent.

00:32:04.380 --> 00:32:09.650 align:middle line:90%


00:32:09.650 --> 00:32:15.220 align:middle line:84%
So let's talk about
contestability.

00:32:15.220 --> 00:32:21.370 align:middle line:84%
So the DMA view in Europe, but
basically the same in the US,

00:32:21.370 --> 00:32:27.880 align:middle line:84%
is we want to basically
encourage entry

00:32:27.880 --> 00:32:32.020 align:middle line:84%
by more efficient entrants
on the core market.

00:32:32.020 --> 00:32:35.000 align:middle line:84%
One way to do it is to
promote multihoming.

00:32:35.000 --> 00:32:39.580 align:middle line:84%
So multihoming means that either
the merchant or the consumer

00:32:39.580 --> 00:32:42.640 align:middle line:84%
actually connects to
multiple platforms.

00:32:42.640 --> 00:32:46.270 align:middle line:84%
And just to give you an example,
imagine that you're on Facebook.

00:32:46.270 --> 00:32:50.260 align:middle line:84%
And then, there is a
new Facebook Prime,

00:32:50.260 --> 00:32:54.640 align:middle line:84%
perhaps a bit better than
Facebook, wants to enter.

00:32:54.640 --> 00:32:58.330 align:middle line:84%
Now, are you going to
switch to Facebook Prime?

00:32:58.330 --> 00:33:02.590 align:middle line:84%
And the answer is probably
no, because, first, you have

00:33:02.590 --> 00:33:04.340 align:middle line:90%
all your content on Facebook.

00:33:04.340 --> 00:33:07.060 align:middle line:84%
You have the picture, the
contacts, and whatever.

00:33:07.060 --> 00:33:09.080 align:middle line:84%
And on top of that,
you are not sure

00:33:09.080 --> 00:33:15.080 align:middle line:84%
that the new social network
is going to have your friends.

00:33:15.080 --> 00:33:19.580 align:middle line:84%
So there is some kind of
coordination issue in switching

00:33:19.580 --> 00:33:21.650 align:middle line:90%
to the new network.

00:33:21.650 --> 00:33:25.720 align:middle line:84%
But if you can multihome,
you are much more

00:33:25.720 --> 00:33:30.130 align:middle line:84%
eager to try the new platform,
the new social network,

00:33:30.130 --> 00:33:33.946 align:middle line:84%
because you still have
access to Facebook.

00:33:33.946 --> 00:33:35.500 align:middle line:84%
Of course, it's a
pain if you have

00:33:35.500 --> 00:33:38.750 align:middle line:90%
to post the same content twice.

00:33:38.750 --> 00:33:48.020 align:middle line:84%
So that's why the law actually
is asking for portability so

00:33:48.020 --> 00:33:53.390 align:middle line:84%
that you can actually post
the same content, for example,

00:33:53.390 --> 00:33:57.260 align:middle line:84%
and have the same contacts
on the two social networks

00:33:57.260 --> 00:34:01.150 align:middle line:84%
so that you don't have
to do the work twice.

00:34:01.150 --> 00:34:06.160 align:middle line:84%
So they try to, basically,
create some possibility

00:34:06.160 --> 00:34:08.230 align:middle line:90%
of multihoming.

00:34:08.230 --> 00:34:13.870 align:middle line:84%
And there are lots
of variants of that.

00:34:13.870 --> 00:34:20.710 align:middle line:84%
So for example, one in Europe,
they were based on some cases,

00:34:20.710 --> 00:34:28.659 align:middle line:84%
the idea is that the merchant
can tell you are reaching me

00:34:28.659 --> 00:34:30.610 align:middle line:90%
through Amazon, for example.

00:34:30.610 --> 00:34:34.120 align:middle line:84%
But if you want to
reach me directly,

00:34:34.120 --> 00:34:37.489 align:middle line:84%
here is my website or
something like that.

00:34:37.489 --> 00:34:40.850 align:middle line:84%
And by the way, it
will be a bit cheaper.

00:34:40.850 --> 00:34:44.900 align:middle line:84%
So you can disintermediate
the platform if you want.

00:34:44.900 --> 00:34:47.150 align:middle line:90%
OK?

00:34:47.150 --> 00:34:49.860 align:middle line:84%
Interoperability I
already mentioned.

00:34:49.860 --> 00:34:53.280 align:middle line:90%


00:34:53.280 --> 00:34:56.670 align:middle line:84%
And the other ones are a
little bit more complicated.

00:34:56.670 --> 00:34:59.460 align:middle line:84%
If you have never seen most
favored nation clauses,

00:34:59.460 --> 00:35:01.380 align:middle line:84%
probably I should
not talk about it,

00:35:01.380 --> 00:35:04.860 align:middle line:84%
but it's a very
interesting issue.

00:35:04.860 --> 00:35:08.270 align:middle line:90%
Contestability.

00:35:08.270 --> 00:35:11.330 align:middle line:84%
So contestability,
we are in an industry

00:35:11.330 --> 00:35:14.990 align:middle line:84%
with very large fixed
costs or very large network

00:35:14.990 --> 00:35:16.310 align:middle line:90%
externalities.

00:35:16.310 --> 00:35:19.170 align:middle line:84%
So we know we are not going
to get perfect competition.

00:35:19.170 --> 00:35:20.850 align:middle line:90%
There is no way.

00:35:20.850 --> 00:35:22.980 align:middle line:84%
You know you'll
have market power,

00:35:22.980 --> 00:35:28.430 align:middle line:84%
if only because you really have
to cover those fixed costs.

00:35:28.430 --> 00:35:35.560 align:middle line:84%
So the general view is
that those industries are

00:35:35.560 --> 00:35:37.630 align:middle line:84%
going to be monopolistic,
and therefore, you

00:35:37.630 --> 00:35:40.070 align:middle line:90%
have to regulate them.

00:35:40.070 --> 00:35:43.790 align:middle line:84%
Now, there was this book, very
famous at the time by Baumol,

00:35:43.790 --> 00:35:47.600 align:middle line:84%
Panzar, and Willig in the early
'80s basically saying, no, no,

00:35:47.600 --> 00:35:50.000 align:middle line:84%
no, no, you don't
have to regulate them

00:35:50.000 --> 00:35:55.730 align:middle line:84%
because if a monopolist were
charging prices which are too

00:35:55.730 --> 00:36:02.060 align:middle line:84%
high, then some entrant will
come in an itinerant entry.

00:36:02.060 --> 00:36:05.720 align:middle line:84%
So basically, cool invest
rapidly and undercut

00:36:05.720 --> 00:36:08.390 align:middle line:84%
and take all the market
before the incumbent can

00:36:08.390 --> 00:36:09.650 align:middle line:90%
adjust its price.

00:36:09.650 --> 00:36:16.605 align:middle line:84%
So let me see if
I have any chalk.

00:36:16.605 --> 00:36:19.750 align:middle line:90%


00:36:19.750 --> 00:36:24.010 align:middle line:84%
So imagine that you have
a cost function c of q

00:36:24.010 --> 00:36:26.920 align:middle line:90%
equals f plus cq.

00:36:26.920 --> 00:36:31.210 align:middle line:84%
So you have a big fixed cost, a
marginal cost, which may be low,

00:36:31.210 --> 00:36:31.755 align:middle line:90%
I don't know.

00:36:31.755 --> 00:36:35.270 align:middle line:90%


00:36:35.270 --> 00:36:35.770 align:middle line:90%
OK?

00:36:35.770 --> 00:36:43.690 align:middle line:84%
So your average cost is going
to look like this, right?

00:36:43.690 --> 00:36:47.130 align:middle line:90%
That's the average cost.

00:36:47.130 --> 00:36:49.470 align:middle line:90%
Actually, yeah, it should be.

00:36:49.470 --> 00:36:53.370 align:middle line:90%
It's going to be seen.

00:36:53.370 --> 00:36:57.330 align:middle line:84%
OK, so you have an average
cost like this, right?

00:36:57.330 --> 00:37:01.925 align:middle line:84%
Now, here you have your
minimum average cost.

00:37:01.925 --> 00:37:06.030 align:middle line:90%


00:37:06.030 --> 00:37:09.540 align:middle line:84%
So if you want to
break even, then you

00:37:09.540 --> 00:37:14.972 align:middle line:84%
must have p times q
minus c of q equals 0.

00:37:14.972 --> 00:37:18.380 align:middle line:90%
So p is equal to c of q over q.

00:37:18.380 --> 00:37:20.680 align:middle line:84%
So the price has to be
equal to average cost.

00:37:20.680 --> 00:37:23.380 align:middle line:90%


00:37:23.380 --> 00:37:32.430 align:middle line:84%
So you could have a quantity,
the Ramsey quantity.

00:37:32.430 --> 00:37:35.200 align:middle line:84%
By the way, this also
works with multiple goods.

00:37:35.200 --> 00:37:38.280 align:middle line:84%
I mean, that's why I'm
thinking about it right now,

00:37:38.280 --> 00:37:39.963 align:middle line:84%
because it's called
the Ramsey pricing.

00:37:39.963 --> 00:37:41.630 align:middle line:84%
And you can do that
with multiple goods.

00:37:41.630 --> 00:37:44.550 align:middle line:90%


00:37:44.550 --> 00:37:47.430 align:middle line:84%
So this is the lowest
price you can charge

00:37:47.430 --> 00:37:49.110 align:middle line:90%
while still breaking even.

00:37:49.110 --> 00:37:53.320 align:middle line:84%
And Baumol, Panzar, and
Willig's book is about yeah,

00:37:53.320 --> 00:37:54.930 align:middle line:90%
you're going to end up here.

00:37:54.930 --> 00:37:57.990 align:middle line:90%
Even so, you have a monopolist.

00:37:57.990 --> 00:38:01.470 align:middle line:84%
So you get a monopolist,
but this monopolist

00:38:01.470 --> 00:38:02.890 align:middle line:90%
makes zero profit.

00:38:02.890 --> 00:38:06.990 align:middle line:84%
And the reasoning is that if
you charge a higher price,

00:38:06.990 --> 00:38:11.670 align:middle line:84%
then some entrant could say,
no, I'm investing right away.

00:38:11.670 --> 00:38:15.360 align:middle line:84%
And I'm charging this Ramsey
price or a bit above the Ramsey

00:38:15.360 --> 00:38:15.930 align:middle line:90%
price.

00:38:15.930 --> 00:38:17.970 align:middle line:84%
And I'm taking the
entire market if there

00:38:17.970 --> 00:38:19.650 align:middle line:90%
are perfect substitutes.

00:38:19.650 --> 00:38:20.490 align:middle line:90%
OK?

00:38:20.490 --> 00:38:21.970 align:middle line:90%
That's the reasoning.

00:38:21.970 --> 00:38:24.580 align:middle line:84%
It was more sophisticated, much
more sophisticated than that,

00:38:24.580 --> 00:38:28.020 align:middle line:90%
but the bottom line was that.

00:38:28.020 --> 00:38:30.510 align:middle line:90%
And you might say but wait.

00:38:30.510 --> 00:38:33.240 align:middle line:84%
It may take three
years or 10 years

00:38:33.240 --> 00:38:36.710 align:middle line:90%
to build this huge fixed cost.

00:38:36.710 --> 00:38:38.970 align:middle line:84%
And the price you can
change very quickly.

00:38:38.970 --> 00:38:41.950 align:middle line:84%
So the timing is not the
right timing somehow.

00:38:41.950 --> 00:38:46.842 align:middle line:84%
And if someone enters, then
there will be a price war.

00:38:46.842 --> 00:38:49.310 align:middle line:84%
Because at that
point, the marginal--

00:38:49.310 --> 00:38:52.190 align:middle line:84%
once the two firms
are in the market,

00:38:52.190 --> 00:38:54.950 align:middle line:84%
the fixed costs
have been incurred.

00:38:54.950 --> 00:38:58.340 align:middle line:84%
And you get just a
lower marginal cost

00:38:58.340 --> 00:39:00.260 align:middle line:90%
and very tough competition.

00:39:00.260 --> 00:39:05.730 align:middle line:84%
So you might say, OK,
if the incumbent can

00:39:05.730 --> 00:39:08.250 align:middle line:84%
react to entry, which
is very likely given

00:39:08.250 --> 00:39:11.880 align:middle line:84%
that the fact that
the investment takes

00:39:11.880 --> 00:39:15.840 align:middle line:84%
much more time than
changing the price,

00:39:15.840 --> 00:39:20.100 align:middle line:84%
then you are going to
end up with the entrant

00:39:20.100 --> 00:39:22.680 align:middle line:84%
doesn't want to enter
because the competition will

00:39:22.680 --> 00:39:23.770 align:middle line:90%
be very tough.

00:39:23.770 --> 00:39:26.040 align:middle line:84%
Now, you can improve a
bit, the Baumol, Panzar,

00:39:26.040 --> 00:39:31.770 align:middle line:84%
Willig story by having some
kind of dynamic economy

00:39:31.770 --> 00:39:34.620 align:middle line:90%
in which you have network sites.

00:39:34.620 --> 00:39:41.040 align:middle line:84%
And those network sites are
kind of sticky because consumers

00:39:41.040 --> 00:39:42.430 align:middle line:90%
don't switch immediately.

00:39:42.430 --> 00:39:45.060 align:middle line:84%
And consumers, like me, they
tend to stay on the same network

00:39:45.060 --> 00:39:46.020 align:middle line:90%
forever.

00:39:46.020 --> 00:39:50.130 align:middle line:84%
And that means that once you
have acquired a consumer,

00:39:50.130 --> 00:39:54.070 align:middle line:84%
then you have an installed
base of consumer like this.

00:39:54.070 --> 00:39:59.740 align:middle line:84%
And therefore, it's
a bit more complex.

00:39:59.740 --> 00:40:02.710 align:middle line:84%
So we look at the model
with Drew-- a long time ago,

00:40:02.710 --> 00:40:08.770 align:middle line:84%
we looked at the model in which
you have no interoperability.

00:40:08.770 --> 00:40:11.890 align:middle line:84%
So basically, if
you're on a network,

00:40:11.890 --> 00:40:13.930 align:middle line:84%
you don't benefit
from the network sites

00:40:13.930 --> 00:40:16.090 align:middle line:90%
with the other network.

00:40:16.090 --> 00:40:21.980 align:middle line:84%
And then, an entrant
who is more efficient,

00:40:21.980 --> 00:40:25.720 align:middle line:84%
it's a dynamic model with
quality ladders if you want.

00:40:25.720 --> 00:40:27.760 align:middle line:90%
So you can improve.

00:40:27.760 --> 00:40:30.310 align:middle line:84%
And something which is more
efficient than the entrant,

00:40:30.310 --> 00:40:33.850 align:middle line:84%
but you can be
replaced later on.

00:40:33.850 --> 00:40:39.207 align:middle line:90%
Then, you look at the dynamic.

00:40:39.207 --> 00:40:40.540 align:middle line:90%
Sometimes there will be entries.

00:40:40.540 --> 00:40:43.510 align:middle line:84%
Sometimes the next
Google will be replaced,

00:40:43.510 --> 00:40:47.770 align:middle line:84%
will be coming in and
replacing Google and so on.

00:40:47.770 --> 00:40:50.230 align:middle line:84%
Now, the lack of
interoperability, of course,

00:40:50.230 --> 00:40:53.650 align:middle line:84%
makes entry more
difficult, but it also

00:40:53.650 --> 00:40:57.820 align:middle line:84%
has some social benefit
because if consumers

00:40:57.820 --> 00:41:00.190 align:middle line:84%
are sticky so they
don't switch easily,

00:41:00.190 --> 00:41:02.920 align:middle line:90%
they stay with incumbent.

00:41:02.920 --> 00:41:05.280 align:middle line:84%
Then, whenever you
have an entrant,

00:41:05.280 --> 00:41:08.340 align:middle line:84%
that means that those
consumers who are very sticky

00:41:08.340 --> 00:41:10.350 align:middle line:90%
are going to be left stranded.

00:41:10.350 --> 00:41:13.920 align:middle line:84%
They're going to be left
in a small networks.

00:41:13.920 --> 00:41:18.030 align:middle line:84%
So that means there won't be
many applications and the like.

00:41:18.030 --> 00:41:21.270 align:middle line:84%
So there are actually costs and
benefits of entry in that model.

00:41:21.270 --> 00:41:23.910 align:middle line:90%


00:41:23.910 --> 00:41:26.440 align:middle line:90%
So you can imagine--

00:41:26.440 --> 00:41:28.350 align:middle line:84%
I'll let you have
a look, but you

00:41:28.350 --> 00:41:31.410 align:middle line:90%
can imagine what kind of story.

00:41:31.410 --> 00:41:36.330 align:middle line:84%
But that was a
paper which was also

00:41:36.330 --> 00:41:38.590 align:middle line:84%
pretty much in favor
of contestability.

00:41:38.590 --> 00:41:41.880 align:middle line:84%
Even so, we never
quite believe in it

00:41:41.880 --> 00:41:47.340 align:middle line:84%
because you need to be able to
enter, and you must be able to--

00:41:47.340 --> 00:41:50.070 align:middle line:84%
and if you are able
to enter, then there's

00:41:50.070 --> 00:41:51.293 align:middle line:90%
an issue you might not enter.

00:41:51.293 --> 00:41:53.460 align:middle line:84%
And that's a literature I'm
not going to talk about,

00:41:53.460 --> 00:41:56.220 align:middle line:84%
but which is
interesting as well,

00:41:56.220 --> 00:42:03.070 align:middle line:84%
which is sometimes you have
entranta who enter for buyouts.

00:42:03.070 --> 00:42:05.600 align:middle line:84%
So think about
Instagram and WhatsApp.

00:42:05.600 --> 00:42:07.630 align:middle line:84%
I'm not saying that's
what has happened exactly,

00:42:07.630 --> 00:42:10.330 align:middle line:90%
but that's a possible story.

00:42:10.330 --> 00:42:14.230 align:middle line:84%
Instagram and WhatsApp
are social networks.

00:42:14.230 --> 00:42:17.265 align:middle line:90%
They sold out to Facebook.

00:42:17.265 --> 00:42:20.278 align:middle line:90%


00:42:20.278 --> 00:42:24.810 align:middle line:84%
So you might say Facebook was
willing to pay a lot of money

00:42:24.810 --> 00:42:29.640 align:middle line:84%
in order to actually
avoid competition.

00:42:29.640 --> 00:42:33.150 align:middle line:84%
Now, what Instagram
and WhatsApp were doing

00:42:33.150 --> 00:42:35.500 align:middle line:84%
was not quite what
Facebook was doing.

00:42:35.500 --> 00:42:37.260 align:middle line:90%
It was differentiated.

00:42:37.260 --> 00:42:40.140 align:middle line:84%
Nobody knows what the
trajectory would have been,

00:42:40.140 --> 00:42:42.780 align:middle line:84%
whether they would have tried
to replace Facebook or not,

00:42:42.780 --> 00:42:44.310 align:middle line:90%
nobody knows.

00:42:44.310 --> 00:42:48.690 align:middle line:84%
But the story is that Facebook
bought WhatsApp and Instagram

00:42:48.690 --> 00:42:52.800 align:middle line:90%
in order to deter competition.

00:42:52.800 --> 00:42:55.470 align:middle line:84%
And by the way,
the same thing is

00:42:55.470 --> 00:42:57.960 align:middle line:84%
happening in the
pharma industry,

00:42:57.960 --> 00:43:00.960 align:middle line:90%
where you have a new molecule.

00:43:00.960 --> 00:43:06.690 align:middle line:84%
And the incumbent, which is
threatened by this new molecule,

00:43:06.690 --> 00:43:10.336 align:middle line:90%
is buying the startup.

00:43:10.336 --> 00:43:11.930 align:middle line:90%
There's some evidence of that.

00:43:11.930 --> 00:43:13.750 align:middle line:84%
Now, how important
it is, we don't know,

00:43:13.750 --> 00:43:15.465 align:middle line:84%
but there's clearly
evidence of that.

00:43:15.465 --> 00:43:18.170 align:middle line:90%


00:43:18.170 --> 00:43:21.020 align:middle line:84%
And then, entry is
not very interesting

00:43:21.020 --> 00:43:27.200 align:middle line:84%
because it's just a way of
blackmailing the incumbent

00:43:27.200 --> 00:43:29.720 align:middle line:84%
and sharing the profit
of the incumbent.

00:43:29.720 --> 00:43:33.680 align:middle line:84%
So because if you
have a me too product,

00:43:33.680 --> 00:43:35.960 align:middle line:84%
and you invent a me
too product, and you

00:43:35.960 --> 00:43:37.680 align:middle line:90%
spend the money to do that.

00:43:37.680 --> 00:43:39.950 align:middle line:84%
And you go and see
the incumbent, hey,

00:43:39.950 --> 00:43:43.690 align:middle line:84%
buy me and surpress
the competition.

00:43:43.690 --> 00:43:46.610 align:middle line:84%
Then, the consumers
haven't gained anything.

00:43:46.610 --> 00:43:48.820 align:middle line:84%
And the only thing
that is happening

00:43:48.820 --> 00:43:53.710 align:middle line:84%
is a transfer of wealth between
the incumbent and the entrant.

00:43:53.710 --> 00:43:58.830 align:middle line:84%
Basically, you bribe the
entrant to disappear, right?

00:43:58.830 --> 00:44:02.500 align:middle line:90%


00:44:02.500 --> 00:44:04.190 align:middle line:90%
So that's a big issue nowadays.

00:44:04.190 --> 00:44:08.710 align:middle line:84%
And there are lots of
interesting antitrust questions

00:44:08.710 --> 00:44:10.390 align:middle line:90%
linked to that.

00:44:10.390 --> 00:44:12.530 align:middle line:90%
So let me move on.

00:44:12.530 --> 00:44:16.090 align:middle line:90%
Let me move on to fairness.

00:44:16.090 --> 00:44:22.760 align:middle line:84%
But a good time to stop to
see if you have any questions.

00:44:22.760 --> 00:44:23.630 align:middle line:90%
Yes?

00:44:23.630 --> 00:44:24.620 align:middle line:90%
AUDIENCE: Sure.

00:44:24.620 --> 00:44:27.950 align:middle line:84%
So since you bring up the
Facebook Instagram example,

00:44:27.950 --> 00:44:31.820 align:middle line:84%
if I recall correctly,
when posting on either one,

00:44:31.820 --> 00:44:33.920 align:middle line:84%
you could have it so that
what you're posting gets

00:44:33.920 --> 00:44:36.080 align:middle line:90%
posted on both now.

00:44:36.080 --> 00:44:39.050 align:middle line:84%
So I guess going back to
the multihoming example,

00:44:39.050 --> 00:44:42.680 align:middle line:84%
I think you brought up how if
you have a new platform that's

00:44:42.680 --> 00:44:45.380 align:middle line:84%
similar to one that already
exists in a way get it going

00:44:45.380 --> 00:44:48.050 align:middle line:84%
is to make it so that if you
post one and automatically posts

00:44:48.050 --> 00:44:48.990 align:middle line:90%
on the second.

00:44:48.990 --> 00:44:52.970 align:middle line:84%
But I mean, that's to me seems
like an example where the bigger

00:44:52.970 --> 00:44:55.560 align:middle line:84%
platform could already like
bought in the smaller one.

00:44:55.560 --> 00:44:59.177 align:middle line:84%
So I guess I can't really
think of an example

00:44:59.177 --> 00:45:01.010 align:middle line:84%
where the platform could
still be separated,

00:45:01.010 --> 00:45:04.850 align:middle line:84%
and you'd still be able
to have that mechanism.

00:45:04.850 --> 00:45:06.710 align:middle line:84%
PROFESSOR: Well,
actually, that's

00:45:06.710 --> 00:45:12.740 align:middle line:84%
a good question because, I mean,
they're asking themselves now,

00:45:12.740 --> 00:45:14.750 align:middle line:84%
if someone wants to
replace Facebook,

00:45:14.750 --> 00:45:17.150 align:middle line:84%
how are we going
to promote that?

00:45:17.150 --> 00:45:21.220 align:middle line:84%
And you need to have
interoperability.

00:45:21.220 --> 00:45:24.360 align:middle line:84%
And as you say, how
do you make it happen?

00:45:24.360 --> 00:45:26.100 align:middle line:90%
So you need APIs.

00:45:26.100 --> 00:45:29.040 align:middle line:84%
You need the application
programming interface

00:45:29.040 --> 00:45:34.170 align:middle line:84%
and a standard of communication
between Facebook and its rival.

00:45:34.170 --> 00:45:38.520 align:middle line:84%
Now, if you ask Facebook to
do it, it's not going to work.

00:45:38.520 --> 00:45:39.328 align:middle line:90%
We know that.

00:45:39.328 --> 00:45:41.370 align:middle line:84%
I mean, that has happened
in the telecom industry

00:45:41.370 --> 00:45:44.400 align:middle line:90%
a long time ago, 50 years ago.

00:45:44.400 --> 00:45:46.440 align:middle line:84%
We know that it doesn't
work because, of course,

00:45:46.440 --> 00:45:50.350 align:middle line:84%
the incumbent doesn't want
to help the other enter.

00:45:50.350 --> 00:45:54.370 align:middle line:84%
So you need to have some kind
of resolution of this issue.

00:45:54.370 --> 00:45:58.450 align:middle line:84%
So is it the
competition authority

00:45:58.450 --> 00:46:01.760 align:middle line:84%
who is going to
decide on the APIs?

00:46:01.760 --> 00:46:04.400 align:middle line:84%
But probably they won't
be very competent.

00:46:04.400 --> 00:46:06.740 align:middle line:90%
They might be making mistakes.

00:46:06.740 --> 00:46:11.240 align:middle line:84%
Is that a
standardization effort?

00:46:11.240 --> 00:46:14.270 align:middle line:84%
So you have-- but then,
who does it exactly,

00:46:14.270 --> 00:46:16.520 align:middle line:84%
which standard
setting organization?

00:46:16.520 --> 00:46:20.770 align:middle line:84%
All those things have
been swept under the rug.

00:46:20.770 --> 00:46:23.660 align:middle line:84%
So in the document,
if I remember,

00:46:23.660 --> 00:46:26.730 align:middle line:84%
well, you don't see how
it's going to be done.

00:46:26.730 --> 00:46:30.830 align:middle line:84%
Say, there should be some
APIs so that you can actually

00:46:30.830 --> 00:46:35.490 align:middle line:84%
have interoperability, but
who's going to decide on them?

00:46:35.490 --> 00:46:37.753 align:middle line:90%
I guess that's--

00:46:37.753 --> 00:46:39.420 align:middle line:84%
I don't have an answer
to your question,

00:46:39.420 --> 00:46:41.420 align:middle line:84%
but that's actually an
interesting question.

00:46:41.420 --> 00:46:44.460 align:middle line:90%


00:46:44.460 --> 00:46:49.390 align:middle line:84%
Let me say a few words about
the traditional things.

00:46:49.390 --> 00:46:54.330 align:middle line:84%
So the traditional way
of looking at this--

00:46:54.330 --> 00:46:57.120 align:middle line:90%
and it's not a two-sided market.

00:46:57.120 --> 00:47:04.750 align:middle line:84%
You basically have
an upstream supplier

00:47:04.750 --> 00:47:09.940 align:middle line:84%
who is supplying in-house
and third parties, OK?

00:47:09.940 --> 00:47:14.650 align:middle line:84%
So it's a language of regulation
if you want upstream suppliers,

00:47:14.650 --> 00:47:16.360 align:middle line:90%
downstream firms.

00:47:16.360 --> 00:47:20.990 align:middle line:84%
And those downstream firms
are supplying the consumers.

00:47:20.990 --> 00:47:23.920 align:middle line:84%
It's not a two-sided
platform because this

00:47:23.920 --> 00:47:26.500 align:middle line:84%
will be the kind of a platform,
but it doesn't have access

00:47:26.500 --> 00:47:27.730 align:middle line:90%
to the consumer.

00:47:27.730 --> 00:47:32.680 align:middle line:84%
Whereas in a two-sided
platform, the platform

00:47:32.680 --> 00:47:34.700 align:middle line:84%
is controlling the
access to consumers,

00:47:34.700 --> 00:47:36.190 align:middle line:90%
so it's a bit different.

00:47:36.190 --> 00:47:44.470 align:middle line:84%
It's allowing the apps to
actually sell to the consumers.

00:47:44.470 --> 00:47:48.910 align:middle line:84%
But the apps, once they get the
input from the upstream firm,

00:47:48.910 --> 00:47:50.330 align:middle line:90%
can do whatever they want.

00:47:50.330 --> 00:47:54.130 align:middle line:84%
They have direct contact
with the consumers.

00:47:54.130 --> 00:48:01.670 align:middle line:84%
So that was a framework we
studied a couple of years ago.

00:48:01.670 --> 00:48:03.710 align:middle line:84%
It's embarrassing to
say how many years,

00:48:03.710 --> 00:48:07.280 align:middle line:84%
but a number of years
ago, that's basically

00:48:07.280 --> 00:48:09.430 align:middle line:90%
the framework we studied.

00:48:09.430 --> 00:48:11.930 align:middle line:84%
Something we learned
at the time was,

00:48:11.930 --> 00:48:15.140 align:middle line:84%
basically, you needed
a regulation of access.

00:48:15.140 --> 00:48:19.070 align:middle line:84%
You should not count on the
incumbent to allow access.

00:48:19.070 --> 00:48:21.680 align:middle line:90%
This is not going to work.

00:48:21.680 --> 00:48:27.140 align:middle line:84%
The second thing
was this ECPR stuff,

00:48:27.140 --> 00:48:33.040 align:middle line:84%
which was something that
almost every judge dealing

00:48:33.040 --> 00:48:36.400 align:middle line:84%
with competition policy
would know around the world.

00:48:36.400 --> 00:48:39.370 align:middle line:84%
But a number of economists
would not even know.

00:48:39.370 --> 00:48:42.040 align:middle line:84%
Even so, it was invented
by Baumol and Willig,

00:48:42.040 --> 00:48:45.820 align:middle line:84%
the same people, by
Baumol and Willig.

00:48:45.820 --> 00:48:48.430 align:middle line:84%
Basically, which
was putting a cap

00:48:48.430 --> 00:48:50.790 align:middle line:90%
on what the excess charge was.

00:48:50.790 --> 00:48:54.260 align:middle line:84%
So here, you have an
internal transfer price.

00:48:54.260 --> 00:49:01.060 align:middle line:84%
Think of this as being zero, or
marginal cost more generally.

00:49:01.060 --> 00:49:04.900 align:middle line:84%
So basically, this
downstream unit

00:49:04.900 --> 00:49:12.700 align:middle line:84%
was getting the essential
input at a low price.

00:49:12.700 --> 00:49:15.490 align:middle line:84%
But the question, what
was the excess price

00:49:15.490 --> 00:49:19.630 align:middle line:84%
for this third-party app
or third-party merchant?

00:49:19.630 --> 00:49:23.640 align:middle line:90%
And that had to be kept.

00:49:23.640 --> 00:49:26.370 align:middle line:84%
So the ceiling on
the access charge

00:49:26.370 --> 00:49:31.100 align:middle line:84%
that Baumol and Willig
found, and that just said--

00:49:31.100 --> 00:49:34.400 align:middle line:84%
that was used a lot in antitrust
and also in regulation--

00:49:34.400 --> 00:49:40.250 align:middle line:84%
was basically that you will put
a ceiling at how much money was

00:49:40.250 --> 00:49:46.818 align:middle line:84%
lost by the incumbent when
D2 takes a customer away

00:49:46.818 --> 00:49:47.610 align:middle line:90%
from the incumbent.

00:49:47.610 --> 00:49:56.180 align:middle line:84%
So it's basically saying, OK, if
I take a consumer away from you,

00:49:56.180 --> 00:50:00.110 align:middle line:84%
I'm going to compensate you
for your loss on that consumer,

00:50:00.110 --> 00:50:03.570 align:middle line:84%
assuming the access
cost is the same.

00:50:03.570 --> 00:50:09.140 align:middle line:84%
So it doesn't cost more to
supply D2 than supplying D1.

00:50:09.140 --> 00:50:13.670 align:middle line:84%
But basically, the
idea was to compensate

00:50:13.670 --> 00:50:17.960 align:middle line:84%
D1, UD1, for the
loss profit, which

00:50:17.960 --> 00:50:21.620 align:middle line:84%
is the margin on the
downstream segment.

00:50:21.620 --> 00:50:23.960 align:middle line:84%
So it was a price
minus a marginal cost

00:50:23.960 --> 00:50:25.940 align:middle line:90%
on the downstream segment.

00:50:25.940 --> 00:50:32.150 align:middle line:84%
So that was used to
basically find an upper bound

00:50:32.150 --> 00:50:34.100 align:middle line:90%
on the access charge.

00:50:34.100 --> 00:50:37.400 align:middle line:84%
You cannot charge more than
what you lose when you lose

00:50:37.400 --> 00:50:40.070 align:middle line:90%
a customer to your rival.

00:50:40.070 --> 00:50:41.500 align:middle line:90%
It's a simple rule, right?

00:50:41.500 --> 00:50:44.300 align:middle line:90%


00:50:44.300 --> 00:50:47.150 align:middle line:84%
And in the work I did
with Jean-Jacques Laffont,

00:50:47.150 --> 00:50:50.270 align:middle line:84%
we found that actually that
was not such a bad rule,

00:50:50.270 --> 00:50:54.110 align:middle line:84%
except it's a very incomplete
rule because you notice that it

00:50:54.110 --> 00:50:56.390 align:middle line:90%
just connects two prices--

00:50:56.390 --> 00:51:01.910 align:middle line:84%
the access charge to
third-party merchants--

00:51:01.910 --> 00:51:07.340 align:middle line:84%
with the final price you
charge in the consumer segment.

00:51:07.340 --> 00:51:10.430 align:middle line:84%
But it doesn't tell you
what A and P1 should be.

00:51:10.430 --> 00:51:13.556 align:middle line:90%
It just connects the two.

00:51:13.556 --> 00:51:16.550 align:middle line:84%
In particular, they
could be quite high.

00:51:16.550 --> 00:51:22.580 align:middle line:84%
But in terms of
efficiency, actually, it's

00:51:22.580 --> 00:51:27.500 align:middle line:84%
not bad because in a sense
you have D2 internalize

00:51:27.500 --> 00:51:29.270 align:middle line:90%
the externality on D1.

00:51:29.270 --> 00:51:33.380 align:middle line:84%
And basically, the market
allocation between D1 and D2

00:51:33.380 --> 00:51:35.000 align:middle line:90%
is not going to be bad.

00:51:35.000 --> 00:51:37.520 align:middle line:84%
And something I want to say,
which is very important,

00:51:37.520 --> 00:51:42.030 align:middle line:84%
is that this upstream
firm, the bottleneck

00:51:42.030 --> 00:51:45.480 align:middle line:84%
of the core segment,
if you want,

00:51:45.480 --> 00:51:47.170 align:middle line:90%
can make money in two ways.

00:51:47.170 --> 00:51:48.990 align:middle line:84%
And that's very
important to realize.

00:51:48.990 --> 00:51:53.070 align:middle line:84%
Can make money either in the
downstream market through P1,

00:51:53.070 --> 00:51:57.430 align:middle line:84%
or it can make money
by giving access.

00:51:57.430 --> 00:52:02.110 align:middle line:84%
So you can do it retail,
or you can do it wholesale.

00:52:02.110 --> 00:52:05.590 align:middle line:84%
You can make money
in one of two ways.

00:52:05.590 --> 00:52:07.437 align:middle line:84%
And in a sense this,
if you have equality,

00:52:07.437 --> 00:52:09.520 align:middle line:84%
that means that you're
indifferent between the two

00:52:09.520 --> 00:52:11.290 align:middle line:90%
ways.

00:52:11.290 --> 00:52:13.960 align:middle line:90%
OK?

00:52:13.960 --> 00:52:18.990 align:middle line:84%
OK, now, that also
tells you that--

00:52:18.990 --> 00:52:21.240 align:middle line:84%
let me move on to number
four, and I will come back

00:52:21.240 --> 00:52:22.110 align:middle line:90%
to number three--

00:52:22.110 --> 00:52:29.660 align:middle line:84%
that the marginal
cost pricing of access

00:52:29.660 --> 00:52:33.620 align:middle line:84%
may not be the right
benchmark because if you

00:52:33.620 --> 00:52:36.440 align:middle line:84%
charge a equals to
0, you're not going

00:52:36.440 --> 00:52:40.620 align:middle line:90%
to make any profit on access.

00:52:40.620 --> 00:52:42.930 align:middle line:84%
And then, there will
be tough competition

00:52:42.930 --> 00:52:45.220 align:middle line:90%
in the downstream market.

00:52:45.220 --> 00:52:48.010 align:middle line:84%
And you may make
no money at all.

00:52:48.010 --> 00:52:50.520 align:middle line:84%
Even so, the reason
why you are monopolies

00:52:50.520 --> 00:52:54.460 align:middle line:84%
is that you have very high
fixed costs of upstream.

00:52:54.460 --> 00:52:58.560 align:middle line:84%
So that's something
that was a concern.

00:52:58.560 --> 00:53:01.440 align:middle line:84%
The way Laffont and
I actually solved

00:53:01.440 --> 00:53:05.580 align:middle line:84%
it was basically by inventing
a global price cap in which you

00:53:05.580 --> 00:53:12.000 align:middle line:84%
will be putting not only the
retail price in the price cap,

00:53:12.000 --> 00:53:16.450 align:middle line:84%
but you also put the
wholesale prices.

00:53:16.450 --> 00:53:21.100 align:middle line:84%
Now, the other thing that
we are going to find again

00:53:21.100 --> 00:53:23.920 align:middle line:84%
in what I'm going to tell
you about in a few minutes,

00:53:23.920 --> 00:53:29.110 align:middle line:84%
is that an excess markup, if
you have a greater than C0,

00:53:29.110 --> 00:53:33.610 align:middle line:84%
that doesn't necessarily
mean that competitors

00:53:33.610 --> 00:53:34.990 align:middle line:90%
are disadvantaged.

00:53:34.990 --> 00:53:38.560 align:middle line:84%
Because if you look at
the cost of each firm,

00:53:38.560 --> 00:53:41.560 align:middle line:84%
each downstream
firms, now, the cost

00:53:41.560 --> 00:53:44.680 align:middle line:84%
here is equal to a, the
access charge plus possibly

00:53:44.680 --> 00:53:47.260 align:middle line:90%
a downstream cost.

00:53:47.260 --> 00:53:52.420 align:middle line:84%
But here, the cost of
D1 when charging P1 also

00:53:52.420 --> 00:53:56.890 align:middle line:84%
has to include that if you
take a consumer away from D2,

00:53:56.890 --> 00:54:05.050 align:middle line:84%
you lose the difference
between a and c0.

00:54:05.050 --> 00:54:09.910 align:middle line:84%
So your opportunity cost, if
you are the integrated firm,

00:54:09.910 --> 00:54:14.650 align:middle line:84%
is c0 plus a markup
you make an access.

00:54:14.650 --> 00:54:19.340 align:middle line:84%
And that's the access charge,
which is the same as the access

00:54:19.340 --> 00:54:23.440 align:middle line:90%
price for the rival.

00:54:23.440 --> 00:54:25.820 align:middle line:84%
So in a sense, they have
the same marginal cost,

00:54:25.820 --> 00:54:30.430 align:middle line:84%
if you think about marginal
cost as being opportunity cost.

00:54:30.430 --> 00:54:32.945 align:middle line:84%
That's a bit surprising
the first time you see it.

00:54:32.945 --> 00:54:33.445 align:middle line:90%
What?

00:54:33.445 --> 00:54:36.910 align:middle line:84%
They are charging a markup on
access, but at the same time,

00:54:36.910 --> 00:54:40.990 align:middle line:84%
they face the same
marginal cost.

00:54:40.990 --> 00:54:43.990 align:middle line:84%
And the point is that you
have to take into account

00:54:43.990 --> 00:54:49.840 align:middle line:84%
that if you lose a consumer
on the access market,

00:54:49.840 --> 00:54:52.110 align:middle line:90%
you lose a minus c0.

00:54:52.110 --> 00:54:55.005 align:middle line:84%
So actually, that you have
to include in your cost.

00:54:55.005 --> 00:54:59.040 align:middle line:90%


00:54:59.040 --> 00:55:07.990 align:middle line:84%
And then, we derive the optimal
regulated access charges,

00:55:07.990 --> 00:55:10.510 align:middle line:90%
which are by Ramsey principle.

00:55:10.510 --> 00:55:15.760 align:middle line:84%
If you think about giving
access in the end as being just

00:55:15.760 --> 00:55:17.750 align:middle line:90%
providing a retail good.

00:55:17.750 --> 00:55:20.350 align:middle line:84%
Even so, it's a wholesale
good, but indirectly, it's

00:55:20.350 --> 00:55:21.020 align:middle line:90%
a retail good.

00:55:21.020 --> 00:55:23.290 align:middle line:90%
So let me skip that.

00:55:23.290 --> 00:55:27.610 align:middle line:84%
OK, now, we are going to
wonder what's happening

00:55:27.610 --> 00:55:30.220 align:middle line:90%
with two-sided markets.

00:55:30.220 --> 00:55:33.220 align:middle line:90%
So that I've already said.

00:55:33.220 --> 00:55:37.750 align:middle line:84%
As a motivation, I'm going
to go very fast through this.

00:55:37.750 --> 00:55:41.060 align:middle line:90%
There are lots of concerns.

00:55:41.060 --> 00:55:47.450 align:middle line:84%
There are lots of concerns
about the charges to merchants.

00:55:47.450 --> 00:55:51.230 align:middle line:84%
So if you think about the
app store or Google Play,

00:55:51.230 --> 00:55:58.140 align:middle line:84%
you get 30% commissions
and so on and so forth.

00:55:58.140 --> 00:55:59.870 align:middle line:90%
It's not new, by the way.

00:55:59.870 --> 00:56:01.700 align:middle line:84%
There are lots of
antitrust cases

00:56:01.700 --> 00:56:05.690 align:middle line:84%
which had to do with credit
cards and debit cards.

00:56:05.690 --> 00:56:09.050 align:middle line:84%
They are not charging
30%, but they were--

00:56:09.050 --> 00:56:12.110 align:middle line:84%
if you think about American
Express or PayPal and all

00:56:12.110 --> 00:56:17.540 align:middle line:84%
those platforms, they charge
3% or Google Pay or Apple Pay.

00:56:17.540 --> 00:56:20.660 align:middle line:84%
Visa, it's a bit less, but
Visa, MasterCard is a bit less,

00:56:20.660 --> 00:56:24.140 align:middle line:84%
but they charge
some money as well.

00:56:24.140 --> 00:56:26.820 align:middle line:90%
So it's a general issue.

00:56:26.820 --> 00:56:28.250 align:middle line:84%
There are lots of
concern about--

00:56:28.250 --> 00:56:30.420 align:middle line:84%
and that has to do with
equity or fairness.

00:56:30.420 --> 00:56:33.132 align:middle line:90%


00:56:33.132 --> 00:56:35.930 align:middle line:90%
And by the way, there is--

00:56:35.930 --> 00:56:41.040 align:middle line:84%
you probably have heard
about this event where,

00:56:41.040 --> 00:56:46.110 align:middle line:84%
basically, Apple
removed the Fortnite

00:56:46.110 --> 00:56:50.130 align:middle line:84%
game from the
iPhone and the iPad

00:56:50.130 --> 00:56:56.070 align:middle line:84%
because basically
what Epic was doing

00:56:56.070 --> 00:57:01.980 align:middle line:84%
was to offer another route
to buying the subscription,

00:57:01.980 --> 00:57:03.760 align:middle line:90%
so you could buy directly.

00:57:03.760 --> 00:57:06.150 align:middle line:84%
And Apple was very upset
and basically said,

00:57:06.150 --> 00:57:09.310 align:middle line:90%
OK, you are out of my platform.

00:57:09.310 --> 00:57:13.050 align:middle line:84%
You don't want to pay
the 30%, you are dead.

00:57:13.050 --> 00:57:15.870 align:middle line:90%
That was the idea.

00:57:15.870 --> 00:57:16.740 align:middle line:90%
OK?

00:57:16.740 --> 00:57:18.580 align:middle line:84%
I don't know actually
about the last thing.

00:57:18.580 --> 00:57:21.270 align:middle line:84%
So if any of you has
information about that.

00:57:21.270 --> 00:57:25.500 align:middle line:84%
I read once that the
commission in China--

00:57:25.500 --> 00:57:30.810 align:middle line:84%
I mean, you know, the top 20
tech firms in the world 11,

00:57:30.810 --> 00:57:33.360 align:middle line:84%
which are American
and non-Chinese.

00:57:33.360 --> 00:57:36.438 align:middle line:84%
So there are big tech
firms in China as well.

00:57:36.438 --> 00:57:37.480 align:middle line:90%
And you know their names.

00:57:37.480 --> 00:57:41.527 align:middle line:84%
But I read that some of
them are asking up to 50%.

00:57:41.527 --> 00:57:42.610 align:middle line:90%
I don't know if it's true.

00:57:42.610 --> 00:57:45.455 align:middle line:84%
If you know, I will be
interested in knowing.

00:57:45.455 --> 00:57:48.690 align:middle line:90%


00:57:48.690 --> 00:57:50.620 align:middle line:90%
OK.

00:57:50.620 --> 00:57:51.120 align:middle line:90%
OK.

00:57:51.120 --> 00:57:55.200 align:middle line:84%
So let me-- so there
is a paper which

00:57:55.200 --> 00:58:00.720 align:middle line:84%
was sent to you with a
student of mine, Michele

00:58:00.720 --> 00:58:06.260 align:middle line:84%
Bisceglia, which basically looks
at the optimal access price.

00:58:06.260 --> 00:58:10.910 align:middle line:84%
So 30 years later,
we do access pricing

00:58:10.910 --> 00:58:15.380 align:middle line:84%
for two-sided platforms, which
is very important because all

00:58:15.380 --> 00:58:19.490 align:middle line:84%
those regulations wants to
keep those access prices low.

00:58:19.490 --> 00:58:21.590 align:middle line:90%
But what does it mean low?

00:58:21.590 --> 00:58:25.130 align:middle line:84%
I mean, when you sell
on Amazon marketplace,

00:58:25.130 --> 00:58:30.800 align:middle line:90%
should it be 13%, 15%, 3%?

00:58:30.800 --> 00:58:32.960 align:middle line:90%
What's your view?

00:58:32.960 --> 00:58:41.510 align:middle line:84%
When you sell an app on Google
Play, should it be 30% or 10%?

00:58:41.510 --> 00:58:42.460 align:middle line:90%
OK?

00:58:42.460 --> 00:58:44.180 align:middle line:84%
That's very important
because that's

00:58:44.180 --> 00:58:46.890 align:middle line:84%
the business model of this
platform which is at stake.

00:58:46.890 --> 00:58:49.110 align:middle line:84%
So we know very
little about that.

00:58:49.110 --> 00:58:55.560 align:middle line:84%
So I'm going to give
you some insights.

00:58:55.560 --> 00:58:59.030 align:middle line:84%
But there is much more, both
theoretically and empirically

00:58:59.030 --> 00:59:03.440 align:middle line:84%
to be done because
the regulations are

00:59:03.440 --> 00:59:08.390 align:middle line:84%
in part going to be exactly
on this access charge.

00:59:08.390 --> 00:59:15.060 align:middle line:84%
And so this is the same
diagram I told you earlier.

00:59:15.060 --> 00:59:16.830 align:middle line:90%
I just put names on the prices.

00:59:16.830 --> 00:59:18.960 align:middle line:84%
So imagine that you
have a consumer.

00:59:18.960 --> 00:59:24.590 align:middle line:84%
The consumer will pay P0
for access to the platform.

00:59:24.590 --> 00:59:29.570 align:middle line:84%
Actually, the 0 lower bound
will bind when p0 is equal to 0.

00:59:29.570 --> 00:59:32.790 align:middle line:84%
I'm going to assume that
p0 cannot be negative.

00:59:32.790 --> 00:59:35.760 align:middle line:90%


00:59:35.760 --> 00:59:38.400 align:middle line:90%
Then, there is a core service.

00:59:38.400 --> 00:59:40.950 align:middle line:84%
So think of that as
being a search engine

00:59:40.950 --> 00:59:44.880 align:middle line:84%
or a marketplace, which
is going to lead you

00:59:44.880 --> 00:59:48.460 align:middle line:84%
to an in-house app
or a rival app.

00:59:48.460 --> 00:59:51.460 align:middle line:84%
Let's assume that the
service of this app or maybe

00:59:51.460 --> 00:59:53.320 align:middle line:84%
the overall service
will be theta.

00:59:53.320 --> 00:59:58.720 align:middle line:84%
Theta may be a Trojan
horse across consumers.

00:59:58.720 --> 01:00:01.390 align:middle line:90%
The in-house app will charge P1.

01:00:01.390 --> 01:00:04.150 align:middle line:90%
The rival app will charge P2.

01:00:04.150 --> 01:00:07.480 align:middle line:84%
The interesting case,
the only interesting case

01:00:07.480 --> 01:00:11.110 align:middle line:84%
is actually when the rival
app is more efficient.

01:00:11.110 --> 01:00:15.970 align:middle line:84%
So basically, it adds a
utility delta on top of theta

01:00:15.970 --> 01:00:18.720 align:middle line:90%
compared to the in-house app.

01:00:18.720 --> 01:00:22.570 align:middle line:84%
OK, so let's assume that the
rival app, the third-party app

01:00:22.570 --> 01:00:28.080 align:middle line:84%
is actually more efficient,
delivers a better service.

01:00:28.080 --> 01:00:28.680 align:middle line:90%
OK?

01:00:28.680 --> 01:00:31.740 align:middle line:84%
Now, something which is
going to be very important

01:00:31.740 --> 01:00:35.770 align:middle line:84%
is that the app
providers are going

01:00:35.770 --> 01:00:39.390 align:middle line:90%
to have negative marginal cost.

01:00:39.390 --> 01:00:42.250 align:middle line:84%
So there can be
advertising revenues.

01:00:42.250 --> 01:00:47.520 align:middle line:84%
So when a consumer reaches
a rival app, for example,

01:00:47.520 --> 01:00:51.180 align:middle line:84%
then you'll have
advertising on the platform.

01:00:51.180 --> 01:00:53.640 align:middle line:84%
Itself will be a
platform, if you want.

01:00:53.640 --> 01:00:56.250 align:middle line:90%
But it will have advertising.

01:00:56.250 --> 01:00:57.710 align:middle line:90%
It will have merch.

01:00:57.710 --> 01:01:00.480 align:middle line:90%


01:01:00.480 --> 01:01:04.650 align:middle line:84%
If it has its own merchant,
it will have merchant fees.

01:01:04.650 --> 01:01:06.520 align:middle line:90%
There might be data collection.

01:01:06.520 --> 01:01:08.460 align:middle line:84%
So you are going to
collect data about--

01:01:08.460 --> 01:01:10.300 align:middle line:90%
and those data are values.

01:01:10.300 --> 01:01:12.570 align:middle line:84%
There can be repeat
customers, too.

01:01:12.570 --> 01:01:16.350 align:middle line:84%
So when you acquire
a consumer, you're

01:01:16.350 --> 01:01:20.150 align:middle line:84%
going to benefit because those
consumers will come back to you.

01:01:20.150 --> 01:01:28.560 align:middle line:84%
So think about, OK, I'm using a
car-sharing, carpooling service.

01:01:28.560 --> 01:01:30.720 align:middle line:90%
First time I use BlaBlaCar--

01:01:30.720 --> 01:01:32.900 align:middle line:84%
I know in the US
BlaBlaCar doesn't exist,

01:01:32.900 --> 01:01:37.400 align:middle line:84%
but it exists in most
countries in the world.

01:01:37.400 --> 01:01:39.470 align:middle line:84%
I'm using BlaBlaCar
the first time.

01:01:39.470 --> 01:01:41.480 align:middle line:90%
But now, I found you.

01:01:41.480 --> 01:01:43.550 align:middle line:84%
And next time, I'm
going to use you

01:01:43.550 --> 01:01:47.880 align:middle line:90%
without having any intermediary.

01:01:47.880 --> 01:01:50.290 align:middle line:84%
So all kinds of
things like that.

01:01:50.290 --> 01:01:53.320 align:middle line:90%


01:01:53.320 --> 01:02:00.140 align:middle line:84%
And I'm going to just assume
that if an app has a consumer,

01:02:00.140 --> 01:02:04.820 align:middle line:84%
then there will be an
ancillary or side benefit be

01:02:04.820 --> 01:02:07.260 align:middle line:90%
from that, which is positive.

01:02:07.260 --> 01:02:10.130 align:middle line:84%
So given there is
no marginal costs,

01:02:10.130 --> 01:02:16.550 align:middle line:84%
it's a digital good, that means
that your opportunity cost is

01:02:16.550 --> 01:02:19.260 align:middle line:90%
minus b, so it's negative.

01:02:19.260 --> 01:02:20.760 align:middle line:84%
That's going to
be very important.

01:02:20.760 --> 01:02:23.330 align:middle line:84%
It's often the case
in those industries

01:02:23.330 --> 01:02:25.640 align:middle line:90%
that you have negative costs.

01:02:25.640 --> 01:02:27.650 align:middle line:90%
OK?

01:02:27.650 --> 01:02:30.590 align:middle line:84%
Now, I will say,
as I said, I will

01:02:30.590 --> 01:02:32.180 align:middle line:84%
say that there is
a 0 lower bound

01:02:32.180 --> 01:02:36.320 align:middle line:84%
on the core product, a core 0
lower bound if P0 is equal to 0.

01:02:36.320 --> 01:02:42.170 align:middle line:84%
And there will be an app 0
lower bound if P1 is equal to 0.

01:02:42.170 --> 01:02:45.590 align:middle line:84%
And P1 will be less than P2 as
you might imagine because it's

01:02:45.590 --> 01:02:47.160 align:middle line:90%
an inferior product.

01:02:47.160 --> 01:02:52.640 align:middle line:84%
But you will have a 0 lower
bound if P1 is equal to 0.

01:02:52.640 --> 01:02:55.920 align:middle line:90%


01:02:55.920 --> 01:02:57.860 align:middle line:90%
OK?

01:02:57.860 --> 01:03:00.300 align:middle line:84%
OK, so an example
of hybrid platforms,

01:03:00.300 --> 01:03:01.480 align:middle line:90%
I already went through that.

01:03:01.480 --> 01:03:06.830 align:middle line:84%
The third-party sellers are
going to pay a unit access fee.

01:03:06.830 --> 01:03:08.760 align:middle line:84%
It could be ad valorem,
but I'm not going--

01:03:08.760 --> 01:03:10.550 align:middle line:90%
it doesn't change the results.

01:03:10.550 --> 01:03:13.795 align:middle line:84%
It's just a fixed fee
independent of price.

01:03:13.795 --> 01:03:17.200 align:middle line:90%


01:03:17.200 --> 01:03:17.840 align:middle line:90%
OK?

01:03:17.840 --> 01:03:19.510 align:middle line:84%
And the access
fee for the moment

01:03:19.510 --> 01:03:22.030 align:middle line:84%
could be set by the
platform or the regulator.

01:03:22.030 --> 01:03:25.420 align:middle line:84%
And of course, one of the things
you would like to understand

01:03:25.420 --> 01:03:28.670 align:middle line:84%
is whether a platform
has an incentive

01:03:28.670 --> 01:03:32.270 align:middle line:84%
to charge access prices
which are too high.

01:03:32.270 --> 01:03:35.190 align:middle line:90%
OK.

01:03:35.190 --> 01:03:36.660 align:middle line:90%
OK?

01:03:36.660 --> 01:03:41.550 align:middle line:84%
So as I said, the app 0
lower bound corresponds to P1

01:03:41.550 --> 01:03:48.780 align:middle line:84%
equals 0, and the core lower
bound is binding if P0 equals 0.

01:03:48.780 --> 01:03:50.020 align:middle line:90%
Do you have questions?

01:03:50.020 --> 01:03:53.690 align:middle line:90%


01:03:53.690 --> 01:03:56.180 align:middle line:84%
OK, the zero lower bound
are realistic because there

01:03:56.180 --> 01:04:01.100 align:middle line:84%
are lots of services
and apps which are free.

01:04:01.100 --> 01:04:04.730 align:middle line:84%
But in this model, as
I'm going to show you,

01:04:04.730 --> 01:04:06.440 align:middle line:84%
if you don't have
zero lower bounds,

01:04:06.440 --> 01:04:10.240 align:middle line:84%
actually things are pretty
good for the Chicago argument.

01:04:10.240 --> 01:04:12.700 align:middle line:84%
So actually, the
Chicago School argument,

01:04:12.700 --> 01:04:18.310 align:middle line:84%
if none of the zero lower bound
is binding, it's going to hold.

01:04:18.310 --> 01:04:20.640 align:middle line:90%
OK?

01:04:20.640 --> 01:04:23.690 align:middle line:84%
There is no substantive
issue in that case.

01:04:23.690 --> 01:04:26.360 align:middle line:90%


01:04:26.360 --> 01:04:30.350 align:middle line:84%
But if you have the zero
lower bound that primes.

01:04:30.350 --> 01:04:36.940 align:middle line:84%
So that's why we introduce
those two zero lower bounds, OK?

01:04:36.940 --> 01:04:38.860 align:middle line:90%
OK, So let's flip it.

01:04:38.860 --> 01:04:47.210 align:middle line:84%
So let's assume that there
is a distribution F of theta

01:04:47.210 --> 01:04:53.190 align:middle line:84%
on willingness is to pay for the
consumer for the service offered

01:04:53.190 --> 01:04:54.930 align:middle line:90%
by the platform.

01:04:54.930 --> 01:04:59.880 align:middle line:84%
And you make the usual
monotonous moderate condition,

01:04:59.880 --> 01:05:01.350 align:middle line:90%
if you like.

01:05:01.350 --> 01:05:03.750 align:middle line:84%
Actually, most of
the time, I'm just

01:05:03.750 --> 01:05:05.860 align:middle line:84%
going to assume
theta is homogeneous.

01:05:05.860 --> 01:05:11.380 align:middle line:84%
So theta will be the
same for all consumers.

01:05:11.380 --> 01:05:17.090 align:middle line:84%
The reason why we introduce
a distribution in the paper

01:05:17.090 --> 01:05:18.440 align:middle line:90%
is twofold.

01:05:18.440 --> 01:05:21.510 align:middle line:84%
The first is that we
want to see robustness

01:05:21.510 --> 01:05:24.710 align:middle line:84%
when you have heterogeneity
and a downward sloping

01:05:24.710 --> 01:05:27.260 align:middle line:90%
demand for the platform.

01:05:27.260 --> 01:05:33.760 align:middle line:84%
But also, if you have
two complementary goods

01:05:33.760 --> 01:05:36.490 align:middle line:84%
and you have
homogeneity, in general,

01:05:36.490 --> 01:05:38.290 align:middle line:90%
you have multiple equilibria.

01:05:38.290 --> 01:05:40.730 align:middle line:84%
You have a continuum
of equilibria.

01:05:40.730 --> 01:05:46.460 align:middle line:84%
I mean, that's a standard
Nash story, which is that,

01:05:46.460 --> 01:05:48.710 align:middle line:84%
if you are willing
to-- if you are--

01:05:48.710 --> 01:05:51.230 align:middle line:90%
OK, I'm offering a good.

01:05:51.230 --> 01:05:53.900 align:middle line:84%
And you are offering a
good, and the consumers

01:05:53.900 --> 01:05:56.060 align:middle line:90%
are willing to pay 10.

01:05:56.060 --> 01:05:57.810 align:middle line:90%
I can offer it at one.

01:05:57.810 --> 01:06:01.070 align:middle line:84%
And there are two
perfect complements.

01:06:01.070 --> 01:06:01.810 align:middle line:90%
I can charge one.

01:06:01.810 --> 01:06:03.490 align:middle line:90%
You can charge nine.

01:06:03.490 --> 01:06:06.520 align:middle line:84%
Or I can charge seven,
and you charge three.

01:06:06.520 --> 01:06:08.800 align:middle line:84%
There are lots of
lots of equilibria.

01:06:08.800 --> 01:06:13.720 align:middle line:84%
That was realized over 70
years ago by John Nash.

01:06:13.720 --> 01:06:15.760 align:middle line:84%
He said, no, there are
multiple equilibria.

01:06:15.760 --> 01:06:17.890 align:middle line:84%
Let's have a downward
sloping demand,

01:06:17.890 --> 01:06:21.670 align:middle line:84%
and let's take the
limit when you converge

01:06:21.670 --> 01:06:24.010 align:middle line:90%
toward homogeneous demand.

01:06:24.010 --> 01:06:26.470 align:middle line:84%
And then the
equilibria is unique.

01:06:26.470 --> 01:06:29.830 align:middle line:84%
So if you want uniqueness,
you use a Nash trick

01:06:29.830 --> 01:06:33.700 align:middle line:84%
of introducing a little bit of
randomness in the evaluation.

01:06:33.700 --> 01:06:36.130 align:middle line:84%
And you get rid of
this multiplicity.

01:06:36.130 --> 01:06:39.520 align:middle line:84%
That's the other reason
why we actually consider

01:06:39.520 --> 01:06:40.920 align:middle line:90%
a downward sloping demand.

01:06:40.920 --> 01:06:43.540 align:middle line:84%
Even so, most of
the analysis is done

01:06:43.540 --> 01:06:46.540 align:middle line:90%
with theta being the same for.

01:06:46.540 --> 01:06:51.220 align:middle line:84%
So if x is equal to
1 when the buyer,

01:06:51.220 --> 01:06:55.180 align:middle line:84%
the consumers buys the
third-party app and 0 if they

01:06:55.180 --> 01:07:02.290 align:middle line:84%
buy the in-house app, then the
platform's profit will be--

01:07:02.290 --> 01:07:03.850 align:middle line:90%
OK, if the cut off--

01:07:03.850 --> 01:07:07.040 align:middle line:84%
of course, I theta
people are going to buy.

01:07:07.040 --> 01:07:09.130 align:middle line:84%
So the fraction
of people buying,

01:07:09.130 --> 01:07:11.320 align:middle line:84%
let's assume there is
a mass 1 of consumer

01:07:11.320 --> 01:07:14.230 align:middle line:90%
is 1 minus f of theta star.

01:07:14.230 --> 01:07:18.080 align:middle line:84%
Now, what is the profit of
a platform per customer?

01:07:18.080 --> 01:07:22.060 align:middle line:84%
So it's going to be P0 for
access, the consumer access

01:07:22.060 --> 01:07:24.230 align:middle line:90%
to the platform.

01:07:24.230 --> 01:07:30.400 align:middle line:84%
If, basically, the consumer
buys from the rival,

01:07:30.400 --> 01:07:34.870 align:middle line:84%
then the platform is going
to get the access charge.

01:07:34.870 --> 01:07:38.970 align:middle line:84%
But if it doesn't buy
from the platform,

01:07:38.970 --> 01:07:43.240 align:middle line:84%
then you'll get P1
minus a because you

01:07:43.240 --> 01:07:51.910 align:middle line:84%
are losing the access charge if
actually the in-house good is

01:07:51.910 --> 01:07:52.720 align:middle line:90%
purchased.

01:07:52.720 --> 01:07:56.710 align:middle line:84%
But then you get the benefit,
the ancillary benefit

01:07:56.710 --> 01:08:02.840 align:middle line:84%
from having access to the
consumer on the app side.

01:08:02.840 --> 01:08:05.380 align:middle line:90%
So you get the b.

01:08:05.380 --> 01:08:07.790 align:middle line:90%
The third party app, same thing.

01:08:07.790 --> 01:08:11.500 align:middle line:84%
You have a number of consumer
joining the platform, which

01:08:11.500 --> 01:08:13.720 align:middle line:90%
is 1 minus f of theta star.

01:08:13.720 --> 01:08:17.260 align:middle line:84%
And when it equals 1, if they
buy from the third-party app,

01:08:17.260 --> 01:08:22.310 align:middle line:84%
then third-party app
gets P2 plus b minus a.

01:08:22.310 --> 01:08:25.029 align:middle line:90%
OK?

01:08:25.029 --> 01:08:28.620 align:middle line:84%
Now, something you
already notice here

01:08:28.620 --> 01:08:36.080 align:middle line:84%
is that the marginal cost,
when choosing the price P1,

01:08:36.080 --> 01:08:38.210 align:middle line:84%
the marginal cost
of the platform

01:08:38.210 --> 01:08:46.689 align:middle line:84%
is a minus b, because if you
acquire consumer for the app,

01:08:46.689 --> 01:08:51.189 align:middle line:84%
a consumer buys your app, then
you lose the access charge,

01:08:51.189 --> 01:08:54.300 align:middle line:84%
but you get the
ancillary benefit.

01:08:54.300 --> 01:08:55.210 align:middle line:90%
Same thing.

01:08:55.210 --> 01:08:59.220 align:middle line:84%
The marginal cost for
the third-party app

01:08:59.220 --> 01:09:02.640 align:middle line:90%
is the access charge minus b.

01:09:02.640 --> 01:09:04.549 align:middle line:84%
So they're exactly the
same marginal cost.

01:09:04.549 --> 01:09:10.880 align:middle line:90%


01:09:10.880 --> 01:09:15.850 align:middle line:84%
So there will be an
access charge, a,

01:09:15.850 --> 01:09:19.870 align:middle line:84%
which is determined either by
the platform or by regulation.

01:09:19.870 --> 01:09:23.410 align:middle line:84%
The firms will set their
prices simultaneously.

01:09:23.410 --> 01:09:25.910 align:middle line:90%
The platform chooses P0 and P1.

01:09:25.910 --> 01:09:28.569 align:middle line:90%
The third-party app chooses P2.

01:09:28.569 --> 01:09:33.550 align:middle line:84%
And the consumer choose
whether to join the platform.

01:09:33.550 --> 01:09:37.510 align:middle line:84%
Now, there is a variant
of that in which--

01:09:37.510 --> 01:09:41.569 align:middle line:84%
in the case there
is no regulation.

01:09:41.569 --> 01:09:47.069 align:middle line:84%
The platform can always
foreclose access.

01:09:47.069 --> 01:09:50.430 align:middle line:84%
And that's the whole issue
about foreclosure foreclose

01:09:50.430 --> 01:09:55.130 align:middle line:90%
access to the third-party app.

01:09:55.130 --> 01:10:01.900 align:middle line:84%
For example, you can
actually say, I'm not--

01:10:01.900 --> 01:10:03.550 align:middle line:90%
just like Apple did--

01:10:03.550 --> 01:10:05.600 align:middle line:84%
you are not on my
platform anymore.

01:10:05.600 --> 01:10:07.060 align:middle line:90%
That's a bit violent.

01:10:07.060 --> 01:10:11.890 align:middle line:84%
You can do the same in a much
softer way by saying, OK,

01:10:11.890 --> 01:10:15.730 align:middle line:90%
you'll be on page 235.

01:10:15.730 --> 01:10:19.700 align:middle line:84%
Web page 235, you are quite sure
that nobody will buy from you.

01:10:19.700 --> 01:10:23.931 align:middle line:90%


01:10:23.931 --> 01:10:26.690 align:middle line:90%
So that's the new.

01:10:26.690 --> 01:10:31.860 align:middle line:84%
So what you can do is to
choose a competitive advantage

01:10:31.860 --> 01:10:35.078 align:middle line:84%
delta, which is less
than capital Delta,

01:10:35.078 --> 01:10:36.620 align:middle line:84%
actually, without
loss of generality,

01:10:36.620 --> 01:10:39.030 align:middle line:84%
you can assume
it's even negative.

01:10:39.030 --> 01:10:41.725 align:middle line:90%


01:10:41.725 --> 01:10:45.140 align:middle line:84%
Whereas if you are
monitored by a regulator,

01:10:45.140 --> 01:10:46.910 align:middle line:84%
then there is no
such possibility.

01:10:46.910 --> 01:10:48.520 align:middle line:90%
That's the assumption.

01:10:48.520 --> 01:10:50.740 align:middle line:84%
So in that case, a
competitive advantage

01:10:50.740 --> 01:10:51.915 align:middle line:90%
has to be capital Delta.

01:10:51.915 --> 01:10:56.094 align:middle line:90%


01:10:56.094 --> 01:10:58.780 align:middle line:84%
So you can consider the
case with the possibility

01:10:58.780 --> 01:11:04.320 align:middle line:84%
of foreclosure and without the
possibility of foreclosure.

01:11:04.320 --> 01:11:06.240 align:middle line:84%
OK, so that I've
already told you.

01:11:06.240 --> 01:11:12.650 align:middle line:84%
ECPR, remember, a
less than P1 minus C1.

01:11:12.650 --> 01:11:17.660 align:middle line:84%
Here, C1 is minus b, the
marginal cost downstream.

01:11:17.660 --> 01:11:21.770 align:middle line:90%
The marginal cost is negative.

01:11:21.770 --> 01:11:23.540 align:middle line:90%
That's the expression of--

01:11:23.540 --> 01:11:28.310 align:middle line:84%
did I tell you what
ECPR is, what it means?

01:11:28.310 --> 01:11:28.810 align:middle line:90%
No.

01:11:28.810 --> 01:11:30.100 align:middle line:90%
I'm sorry.

01:11:30.100 --> 01:11:31.610 align:middle line:90%
You don't want to know anyway.

01:11:31.610 --> 01:11:35.180 align:middle line:84%
It's called the efficient
component pricing rule.

01:11:35.180 --> 01:11:35.720 align:middle line:90%
OK?

01:11:35.720 --> 01:11:37.320 align:middle line:90%
Everybody calls that ECPR.

01:11:37.320 --> 01:11:40.050 align:middle line:84%
Nobody knows anymore
what it means.

01:11:40.050 --> 01:11:41.230 align:middle line:90%
But, yeah, it's ECPR.

01:11:41.230 --> 01:11:45.680 align:middle line:90%


01:11:45.680 --> 01:11:50.940 align:middle line:84%
OK, so as I told you, I'm
taking the case the limit

01:11:50.940 --> 01:11:55.620 align:middle line:84%
when basically you converge to a
homogeneous willingness to pay.

01:11:55.620 --> 01:11:58.790 align:middle line:84%
As I told you, it's to
do like John Nash did

01:11:58.790 --> 01:12:00.540 align:middle line:84%
to select the [INAUDIBLE]
[? equilibria ?]

01:12:00.540 --> 01:12:03.150 align:middle line:84%
but also to see the robustness
when you have a general demand

01:12:03.150 --> 01:12:04.380 align:middle line:90%
function.

01:12:04.380 --> 01:12:08.810 align:middle line:84%
OK, so let's assume
you cannot foreclose.

01:12:08.810 --> 01:12:13.220 align:middle line:84%
Then, the cut off
theta star, which

01:12:13.220 --> 01:12:15.860 align:middle line:84%
is going to be equal to
theta, the common theta,

01:12:15.860 --> 01:12:25.600 align:middle line:84%
is basically P0 plus either you
by from in-house and then at P1,

01:12:25.600 --> 01:12:28.600 align:middle line:84%
or you buy at price
P2 from the rival.

01:12:28.600 --> 01:12:30.430 align:middle line:84%
But of course, in
terms of net price,

01:12:30.430 --> 01:12:33.850 align:middle line:84%
given that there is
a superior quality

01:12:33.850 --> 01:12:38.500 align:middle line:84%
for the entrant for the
third-party app minus delta.

01:12:38.500 --> 01:12:39.426 align:middle line:90%
OK?

01:12:39.426 --> 01:12:45.160 align:middle line:84%
So what's going to
happen is that P1--

01:12:45.160 --> 01:12:49.530 align:middle line:84%
remember, a minus b is the
opportunity marginal cost?

01:12:49.530 --> 01:12:53.220 align:middle line:84%
So P1, which is-- think
about Bertrand competition.

01:12:53.220 --> 01:12:57.810 align:middle line:84%
Under Bertrand competition,
basically, the superior product

01:12:57.810 --> 01:13:02.650 align:middle line:84%
is going to get the entire
market in the up market.

01:13:02.650 --> 01:13:06.590 align:middle line:84%
And the inferior product is
going to charge a marginal cost.

01:13:06.590 --> 01:13:10.650 align:middle line:84%
Marginal cost is going
to be a minus b, OK?

01:13:10.650 --> 01:13:14.340 align:middle line:84%
Because, again, if you
acquire a consumer,

01:13:14.340 --> 01:13:18.870 align:middle line:84%
you lose the access charge, but
you gain the ancillary benefit.

01:13:18.870 --> 01:13:23.070 align:middle line:84%
So the marginal, that will be
the normal Bertrand outcome,

01:13:23.070 --> 01:13:29.150 align:middle line:84%
except that if a is
less than b, then you

01:13:29.150 --> 01:13:33.170 align:middle line:84%
are bound by the
zero lower bound.

01:13:33.170 --> 01:13:38.190 align:middle line:90%
So your price will be 0.

01:13:38.190 --> 01:13:41.620 align:middle line:84%
You like to go below that,
but you cannot go below that.

01:13:41.620 --> 01:13:48.220 align:middle line:84%
You cannot subsidize because
that will be arbitraged away.

01:13:48.220 --> 01:13:52.170 align:middle line:90%
So this is very simple.

01:13:52.170 --> 01:13:55.290 align:middle line:84%
If b is greater than a, so
if the ancillary benefit

01:13:55.290 --> 01:13:57.450 align:middle line:84%
is greater than
the access charge,

01:13:57.450 --> 01:14:00.020 align:middle line:84%
you are going to
charge a zero price.

01:14:00.020 --> 01:14:03.690 align:middle line:84%
You would like to charge a
negative price, but you can't.

01:14:03.690 --> 01:14:06.480 align:middle line:84%
And that's going to
have as an implication

01:14:06.480 --> 01:14:11.190 align:middle line:84%
that the rival app
is going to make

01:14:11.190 --> 01:14:16.500 align:middle line:84%
an extra profit above its
contribution to the platform.

01:14:16.500 --> 01:14:20.190 align:middle line:90%
So let me just mention that.

01:14:20.190 --> 01:14:28.550 align:middle line:90%


01:14:28.550 --> 01:14:31.610 align:middle line:84%
Imagine there was
no access charge.

01:14:31.610 --> 01:14:37.010 align:middle line:84%
So basically, if there were
no access charge, basically,

01:14:37.010 --> 01:14:41.630 align:middle line:84%
the third-party app
will be charging delta.

01:14:41.630 --> 01:14:49.110 align:middle line:84%
The platform will be
charging 0 for the app.

01:14:49.110 --> 01:14:53.430 align:middle line:84%
But then, the profit
of the third-party app

01:14:53.430 --> 01:14:56.490 align:middle line:90%
will be delta plus b.

01:14:56.490 --> 01:14:59.940 align:middle line:84%
So the third-party
app will make profits

01:14:59.940 --> 01:15:04.280 align:middle line:84%
which are greater than what it
contributes to the ecosystem.

01:15:04.280 --> 01:15:07.050 align:middle line:84%
The contribution to
the ecosystem is delta,

01:15:07.050 --> 01:15:09.360 align:middle line:84%
but you get this
benefit, which is

01:15:09.360 --> 01:15:13.260 align:middle line:84%
not competitive, where precisely
because of the zero lower bound.

01:15:13.260 --> 01:15:16.830 align:middle line:84%
To be competitive where you will
have to basically charge minus

01:15:16.830 --> 01:15:19.780 align:middle line:90%
b, but minus b is not feasible.

01:15:19.780 --> 01:15:23.850 align:middle line:84%
So basically, you get
supranormal profits

01:15:23.850 --> 01:15:27.640 align:middle line:90%
for the third-party app.

01:15:27.640 --> 01:15:28.140 align:middle line:90%
OK?

01:15:28.140 --> 01:15:33.165 align:middle line:90%


01:15:33.165 --> 01:15:33.665 align:middle line:90%
OK.

01:15:33.665 --> 01:15:38.070 align:middle line:90%


01:15:38.070 --> 01:15:42.090 align:middle line:84%
The second question
is, basically,

01:15:42.090 --> 01:15:47.220 align:middle line:84%
what is your willingness to
engage in non-price foreclosure?

01:15:47.220 --> 01:15:50.760 align:middle line:84%
And you have two kinds of
foreclosure in those models.

01:15:50.760 --> 01:15:54.150 align:middle line:84%
One is a price foreclosure
when you charge an access

01:15:54.150 --> 01:15:57.210 align:middle line:90%
charge, which is very high.

01:15:57.210 --> 01:15:59.250 align:middle line:84%
But when you have an
access charge, which

01:15:59.250 --> 01:16:03.610 align:middle line:84%
is very low, less
than b, you actually

01:16:03.610 --> 01:16:05.630 align:middle line:84%
want to use non-price
foreclosure.

01:16:05.630 --> 01:16:08.470 align:middle line:84%
So you basically get
rid of the rival.

01:16:08.470 --> 01:16:12.370 align:middle line:84%
You don't give
access in some way.

01:16:12.370 --> 01:16:16.870 align:middle line:84%
And it's pretty easy to see
actually that as long as a

01:16:16.870 --> 01:16:22.910 align:middle line:84%
is greater than b, you don't
want to foreclose your rival.

01:16:22.910 --> 01:16:24.940 align:middle line:90%
It's a superior rival.

01:16:24.940 --> 01:16:30.160 align:middle line:84%
So there's no reason to
get rid of the rival.

01:16:30.160 --> 01:16:33.650 align:middle line:84%
But because you are
making money on access,

01:16:33.650 --> 01:16:37.370 align:middle line:84%
more than you will
be making just

01:16:37.370 --> 01:16:39.733 align:middle line:84%
from the ancillary benefit
of having the consumer.

01:16:39.733 --> 01:16:43.544 align:middle line:90%


01:16:43.544 --> 01:16:45.540 align:middle line:84%
And basically,
you're going to want

01:16:45.540 --> 01:16:50.760 align:middle line:84%
to foreclose exactly when the
app zero lower bond binds,

01:16:50.760 --> 01:16:52.770 align:middle line:90%
so when a is less than b.

01:16:52.770 --> 01:16:57.720 align:middle line:84%
When a is less than b,
you want to foreclose.

01:16:57.720 --> 01:17:01.390 align:middle line:84%
So what this means is that
having an access charge, which

01:17:01.390 --> 01:17:03.160 align:middle line:84%
is too low-- by the
way, that was already

01:17:03.160 --> 01:17:07.810 align:middle line:84%
known in the one-sided
market exam theory.

01:17:07.810 --> 01:17:10.810 align:middle line:84%
Having an access
charge which is too low

01:17:10.810 --> 01:17:18.220 align:middle line:84%
is going to imply that
you want to foreclose, OK?

01:17:18.220 --> 01:17:21.400 align:middle line:90%


01:17:21.400 --> 01:17:25.720 align:middle line:84%
By the way, there is a deep
connection with the ECPR.

01:17:25.720 --> 01:17:29.830 align:middle line:84%
Even if you don't
remember what ECPR means,

01:17:29.830 --> 01:17:32.350 align:middle line:84%
there is a deep
connection with the ECPR,

01:17:32.350 --> 01:17:40.720 align:middle line:84%
which is that in that region,
a is less than P1 minus b.

01:17:40.720 --> 01:17:42.700 align:middle line:84%
Remember, that's
the action of C1.

01:17:42.700 --> 01:17:49.810 align:middle line:84%
So actually, ECPR is satisfied
with inequality in the sense

01:17:49.810 --> 01:17:54.220 align:middle line:84%
that the access
charge is very low.

01:17:54.220 --> 01:17:56.770 align:middle line:84%
So you have this region
where the access charge

01:17:56.770 --> 01:18:02.470 align:middle line:84%
is less than b, where ECPR taken
with an equality is violated,

01:18:02.470 --> 01:18:05.990 align:middle line:84%
and where the platform
wants to foreclose.

01:18:05.990 --> 01:18:08.530 align:middle line:84%
So if you want to insist
on access charges which

01:18:08.530 --> 01:18:11.320 align:middle line:84%
are too low, you
are going to end up

01:18:11.320 --> 01:18:17.410 align:middle line:84%
getting foreclosure, which means
that you need big regulator just

01:18:17.410 --> 01:18:24.190 align:middle line:84%
to oversee that there is no
foreclosure, which is not easy.

01:18:24.190 --> 01:18:30.010 align:middle line:84%
I mean, that requires going
into the algorithm of Google,

01:18:30.010 --> 01:18:30.900 align:middle line:90%
of Amazon.

01:18:30.900 --> 01:18:34.120 align:middle line:84%
How do you choose which
product to recommend

01:18:34.120 --> 01:18:35.470 align:middle line:90%
and all those things?

01:18:35.470 --> 01:18:37.270 align:middle line:90%
And being on the second screen.

01:18:37.270 --> 01:18:39.370 align:middle line:90%
Is that foreclosure and so on?

01:18:39.370 --> 01:18:43.570 align:middle line:84%
That was, by the way, already
the case for the computer

01:18:43.570 --> 01:18:46.120 align:middle line:90%
reservation system in the '80s.

01:18:46.120 --> 01:18:49.180 align:middle line:84%
There were a bunch of antitrust
cases in the '80s on computer

01:18:49.180 --> 01:18:52.540 align:middle line:90%
reservation systems.

01:18:52.540 --> 01:18:55.210 align:middle line:84%
You were not born,
but basically,

01:18:55.210 --> 01:19:00.640 align:middle line:84%
if you wanted to travel, you
had to go to Harvard Square

01:19:00.640 --> 01:19:02.770 align:middle line:90%
and go to an agent.

01:19:02.770 --> 01:19:04.840 align:middle line:90%
The agent will have a computer.

01:19:04.840 --> 01:19:07.360 align:middle line:84%
At the time, I think a
computer was a big thing,

01:19:07.360 --> 01:19:10.000 align:middle line:84%
You had a computer
with software.

01:19:10.000 --> 01:19:13.450 align:middle line:84%
And you will say, I
want to fly to Chicago.

01:19:13.450 --> 01:19:18.920 align:middle line:84%
And the agent will just look,
flights Boston to Chicago.

01:19:18.920 --> 01:19:21.700 align:middle line:84%
That will take a few minutes
because that was very slow.

01:19:21.700 --> 01:19:24.640 align:middle line:84%
And then, you will have a
first screen which will appear

01:19:24.640 --> 01:19:27.580 align:middle line:90%
and say, here are the flights.

01:19:27.580 --> 01:19:33.820 align:middle line:84%
And you say, oh, this is
flight of United Airlines.

01:19:33.820 --> 01:19:36.550 align:middle line:84%
And then you wonder,
but doesn't the software

01:19:36.550 --> 01:19:38.240 align:middle line:90%
belong to United Airlines?

01:19:38.240 --> 01:19:40.510 align:middle line:84%
Because the software--
and you know,

01:19:40.510 --> 01:19:43.660 align:middle line:84%
isn't that an incentive
for United Airlines

01:19:43.660 --> 01:19:45.700 align:middle line:84%
to actually put
its flight first,

01:19:45.700 --> 01:19:49.150 align:middle line:84%
given that nobody will
ever go to the second page?

01:19:49.150 --> 01:19:50.390 align:middle line:90%
It was too slow.

01:19:50.390 --> 01:19:55.210 align:middle line:84%
You would not do that or for
the third or fourth page.

01:19:55.210 --> 01:19:59.600 align:middle line:84%
So those things already
happened at the time.

01:19:59.600 --> 01:20:00.110 align:middle line:90%
OK?

01:20:00.110 --> 01:20:01.850 align:middle line:90%
Let me tell you--

01:20:01.850 --> 01:20:06.380 align:middle line:84%
I'm just going to just
tell you about this

01:20:06.380 --> 01:20:09.486 align:middle line:84%
and conclude with
some policy questions.

01:20:09.486 --> 01:20:14.570 align:middle line:90%


01:20:14.570 --> 01:20:17.510 align:middle line:90%
So what happens if the--

01:20:17.510 --> 01:20:19.140 align:middle line:90%
here is the access charge.

01:20:19.140 --> 01:20:21.980 align:middle line:84%
If the access charge
is SNB, I told you

01:20:21.980 --> 01:20:26.940 align:middle line:90%
that you want to foreclose.

01:20:26.940 --> 01:20:30.630 align:middle line:84%
So basically, the access
charge for the incumbent

01:20:30.630 --> 01:20:32.620 align:middle line:84%
is not going to
affect its profit.

01:20:32.620 --> 01:20:35.550 align:middle line:84%
It's going to be theta,
which is P0 in that case,

01:20:35.550 --> 01:20:41.130 align:middle line:84%
plus the ancillary
benefit, b, OK?

01:20:41.130 --> 01:20:44.100 align:middle line:84%
If there is monitoring
of foreclosure,

01:20:44.100 --> 01:20:50.460 align:middle line:84%
then the profit is going to
grow with a and conversely,

01:20:50.460 --> 01:20:55.010 align:middle line:84%
for the entrant,
the third-party app.

01:20:55.010 --> 01:20:57.410 align:middle line:90%
Then, you have a region of--

01:20:57.410 --> 01:21:01.830 align:middle line:84%
and then, ECPR will
be with an inequality.

01:21:01.830 --> 01:21:04.130 align:middle line:84%
Then, you have a region
which is a Chicago School

01:21:04.130 --> 01:21:12.450 align:middle line:84%
region, in which, basically,
a is equal to P1 minus b.

01:21:12.450 --> 01:21:16.140 align:middle line:84%
Everything is going to
be independent of a.

01:21:16.140 --> 01:21:19.390 align:middle line:84%
So the access charge is not
going to matter in this region.

01:21:19.390 --> 01:21:20.680 align:middle line:90%
You can raise it, lower it.

01:21:20.680 --> 01:21:22.080 align:middle line:90%
It doesn't matter.

01:21:22.080 --> 01:21:23.890 align:middle line:84%
The profits are
going to be the same.

01:21:23.890 --> 01:21:27.410 align:middle line:84%
The allocation is
going to be the same.

01:21:27.410 --> 01:21:31.640 align:middle line:84%
And then, at some
point, when a is large,

01:21:31.640 --> 01:21:35.650 align:middle line:84%
that means the prices of
apps is going to go up.

01:21:35.650 --> 01:21:39.430 align:middle line:84%
That means at some point
the zero lower bound

01:21:39.430 --> 01:21:42.260 align:middle line:84%
is going to bind for
the core service.

01:21:42.260 --> 01:21:47.380 align:middle line:84%
So P0 is going to be equal
to 0 because the consumer are

01:21:47.380 --> 01:21:49.240 align:middle line:90%
paying a lot for the apps.

01:21:49.240 --> 01:21:54.790 align:middle line:84%
So they are not willing to pay
much for access to the platform.

01:21:54.790 --> 01:22:00.000 align:middle line:84%
In that case, if you raise
a, it cannot be absorbed

01:22:00.000 --> 01:22:00.820 align:middle line:90%
by the platform.

01:22:00.820 --> 01:22:02.890 align:middle line:84%
It has to be
absorbed by the apps.

01:22:02.890 --> 01:22:06.230 align:middle line:84%
The platform is
already at P0 equals 0.

01:22:06.230 --> 01:22:10.460 align:middle line:84%
So here, you have a region where
the core zero lower bound binds,

01:22:10.460 --> 01:22:12.500 align:middle line:90%
and there's a squeeze.

01:22:12.500 --> 01:22:18.200 align:middle line:84%
So actually, the profit of the
apps is going to go down to 0.

01:22:18.200 --> 01:22:23.940 align:middle line:84%
And if a is really too large,
then, basically, there's

01:22:23.940 --> 01:22:25.890 align:middle line:90%
price foreclosure this time.

01:22:25.890 --> 01:22:29.700 align:middle line:84%
But the action is going
to be there mainly

01:22:29.700 --> 01:22:35.490 align:middle line:84%
when you have an access charge,
which is too low because then

01:22:35.490 --> 01:22:37.950 align:middle line:84%
there will be foreclosure
and when there

01:22:37.950 --> 01:22:40.800 align:middle line:84%
is an access charge,
which is too high, when

01:22:40.800 --> 01:22:42.750 align:middle line:90%
there is a squeeze.

01:22:42.750 --> 01:22:45.553 align:middle line:90%
Now, what the best--

01:22:45.553 --> 01:22:47.970 align:middle line:84%
you see from this diagram--
what the best for the platform

01:22:47.970 --> 01:22:50.760 align:middle line:84%
is, actually to choose
this very high surcharge,

01:22:50.760 --> 01:22:56.790 align:middle line:84%
to squeeze completely the
superior third-party app.

01:22:56.790 --> 01:22:57.360 align:middle line:90%
OK?

01:22:57.360 --> 01:22:58.600 align:middle line:90%
That will be the one.

01:22:58.600 --> 01:23:00.060 align:middle line:84%
So if you let the
platform choose,

01:23:00.060 --> 01:23:02.770 align:middle line:90%
it's going to choose this price.

01:23:02.770 --> 01:23:08.840 align:middle line:84%
Now, what will be the
optimal price for regulator?

01:23:08.840 --> 01:23:12.970 align:middle line:84%
Well, like this, it
will be in this range.

01:23:12.970 --> 01:23:17.540 align:middle line:84%
And actually, you'll
get exactly delta

01:23:17.540 --> 01:23:22.560 align:middle line:84%
in this range for the
profit of the entrant.

01:23:22.560 --> 01:23:27.260 align:middle line:84%
Now, if you add other
consideration, like innovation,

01:23:27.260 --> 01:23:33.000 align:middle line:84%
and endogeneity of
consumer with respect

01:23:33.000 --> 01:23:34.810 align:middle line:84%
to their preference
for the app and so on,

01:23:34.810 --> 01:23:38.520 align:middle line:84%
you can show that the optimal
access charge is always b.

01:23:38.520 --> 01:23:41.670 align:middle line:84%
That's another thing is
that the optimal access

01:23:41.670 --> 01:23:44.010 align:middle line:90%
charge has to be b, optimal.

01:23:44.010 --> 01:23:47.527 align:middle line:90%
So that will be--

01:23:47.527 --> 01:23:49.860 align:middle line:84%
but you have to introduce
other considerations for that.

01:23:49.860 --> 01:23:52.390 align:middle line:84%
And I'll let you look
at this, the paper.

01:23:52.390 --> 01:23:56.610 align:middle line:84%
But basically, the platform
will choose a star here

01:23:56.610 --> 01:23:59.520 align:middle line:84%
and the optimal access
charge will be lower,

01:23:59.520 --> 01:24:03.420 align:middle line:90%
but it will never be 0.

01:24:03.420 --> 01:24:08.380 align:middle line:90%
It has to be b actually.

01:24:08.380 --> 01:24:08.880 align:middle line:90%
OK?

01:24:08.880 --> 01:24:10.800 align:middle line:84%
Now, the next question,
of course, you

01:24:10.800 --> 01:24:15.360 align:middle line:84%
are going to ask me-- and I have
exactly one minute to answer it,

01:24:15.360 --> 01:24:20.320 align:middle line:84%
but it's a huge question--
is, now, how do you know b?

01:24:20.320 --> 01:24:21.284 align:middle line:90%
OK?

01:24:21.284 --> 01:24:27.610 align:middle line:84%
Probably, the participant, the
firms have some estimate of b.

01:24:27.610 --> 01:24:31.450 align:middle line:84%
Otherwise, they will have a
hard time deciding what to do.

01:24:31.450 --> 01:24:33.970 align:middle line:84%
But the regulator
doesn't have a clue.

01:24:33.970 --> 01:24:37.990 align:middle line:84%
And it's heterogenous across
applications, of course.

01:24:37.990 --> 01:24:40.540 align:middle line:90%
So how do you know b?

01:24:40.540 --> 01:24:42.490 align:middle line:90%
Now, don't ask a platform.

01:24:42.490 --> 01:24:43.750 align:middle line:90%
That's hopeless.

01:24:43.750 --> 01:24:46.360 align:middle line:84%
The platform is not going
to tell you the truth.

01:24:46.360 --> 01:24:51.640 align:middle line:84%
What you could ask,
what you could do--

01:24:51.640 --> 01:24:54.850 align:middle line:84%
I mean, basically,
you like to elicit

01:24:54.850 --> 01:24:57.050 align:middle line:90%
some commonly held information.

01:24:57.050 --> 01:25:01.040 align:middle line:84%
So it's a masking game, You
have to design a masking game.

01:25:01.040 --> 01:25:03.400 align:middle line:84%
But here is a very
simple masking game

01:25:03.400 --> 01:25:07.510 align:middle line:84%
in which you could ask the
entrant, the third-party app,

01:25:07.510 --> 01:25:09.730 align:middle line:84%
and you say, how much
are you willing to pay

01:25:09.730 --> 01:25:11.340 align:middle line:90%
in terms of access charge?

01:25:11.340 --> 01:25:16.900 align:middle line:84%
Now, if you let the platform
foreclose the entrant,

01:25:16.900 --> 01:25:21.280 align:middle line:84%
the third-party app, then the
answer will be a equals b.

01:25:21.280 --> 01:25:22.390 align:middle line:90%
I want to pay b.

01:25:22.390 --> 01:25:25.210 align:middle line:84%
Because, of course,
the third-party app

01:25:25.210 --> 01:25:29.270 align:middle line:84%
wants to pay the access charge,
which is as small as possible.

01:25:29.270 --> 01:25:32.310 align:middle line:84%
But he doesn't want
to feel foreclosed.

01:25:32.310 --> 01:25:34.860 align:middle line:90%
So it's going to ask--

01:25:34.860 --> 01:25:38.100 align:middle line:84%
it's going to say,
I want b, right?

01:25:38.100 --> 01:25:41.340 align:middle line:84%
Now, this is a bit
dangerous for a reason

01:25:41.340 --> 01:25:42.460 align:middle line:90%
we discussed in the paper.

01:25:42.460 --> 01:25:43.990 align:middle line:90%
We haven't fully solved it.

01:25:43.990 --> 01:25:46.000 align:middle line:90%
We show it's a Pigouvian.

01:25:46.000 --> 01:25:48.570 align:middle line:90%
It's in the spirit of Pigou.

01:25:48.570 --> 01:25:50.106 align:middle line:90%
It's a Pigouvian regulation.

01:25:50.106 --> 01:25:52.640 align:middle line:90%


01:25:52.640 --> 01:25:55.430 align:middle line:84%
And in principle,
it could be used

01:25:55.430 --> 01:26:00.800 align:middle line:84%
by regulators for the moment
that they don't really

01:26:00.800 --> 01:26:03.150 align:middle line:90%
have a rule for that.

01:26:03.150 --> 01:26:07.760 align:middle line:84%
They have in a special case,
which is for credit cards,

01:26:07.760 --> 01:26:09.290 align:middle line:84%
the European Union
has a rule, which

01:26:09.290 --> 01:26:10.880 align:middle line:84%
we designed with
Jean-Charles Rochet

01:26:10.880 --> 01:26:16.310 align:middle line:84%
actually, which we call the
tourist test for credit cards.

01:26:16.310 --> 01:26:21.700 align:middle line:84%
But for platforms, general
platforms, we don't have a rule.

01:26:21.700 --> 01:26:24.490 align:middle line:90%
Here is a rule, equals b.

01:26:24.490 --> 01:26:26.630 align:middle line:90%
That's not complicated.

01:26:26.630 --> 01:26:29.250 align:middle line:90%
Here is a way of eliciting b.

01:26:29.250 --> 01:26:33.330 align:middle line:84%
As we discussed, it's
pretty risky still,

01:26:33.330 --> 01:26:35.760 align:middle line:84%
and there is much more
work to be done so

01:26:35.760 --> 01:26:37.740 align:middle line:90%
that we make this operational.

01:26:37.740 --> 01:26:43.200 align:middle line:84%
Because you have to realize
when you design regulation,

01:26:43.200 --> 01:26:45.330 align:middle line:84%
you also have to think
about whether it's

01:26:45.330 --> 01:26:47.020 align:middle line:90%
going to be used by regulators.

01:26:47.020 --> 01:26:50.320 align:middle line:84%
And the regulators have
a very small staff.

01:26:50.320 --> 01:26:52.730 align:middle line:84%
And they don't have much
time to think about it.

01:26:52.730 --> 01:26:55.720 align:middle line:84%
And, you know, if
you design rules,

01:26:55.720 --> 01:27:00.320 align:middle line:84%
which are incredibly complicated
and requires 200 elasticities,

01:27:00.320 --> 01:27:01.590 align:middle line:90%
forget about it.

01:27:01.590 --> 01:27:03.000 align:middle line:90%
It's not going to happen.

01:27:03.000 --> 01:27:06.320 align:middle line:84%
You need to have simple rules
which work relatively well.

01:27:06.320 --> 01:27:09.080 align:middle line:84%
And that's going to be part
of the challenge in IO.

01:27:09.080 --> 01:27:10.800 align:middle line:90%
We need to design those rules.

01:27:10.800 --> 01:27:15.470 align:middle line:84%
Now, I realize I'm
one minute late,

01:27:15.470 --> 01:27:17.700 align:middle line:90%
but I'll see you on Wednesday.

01:27:17.700 --> 01:27:20.460 align:middle line:84%
So on Wednesday, you can ask
me more questions about that.

01:27:20.460 --> 01:27:22.370 align:middle line:84%
And then, I will tell
you everything you ever

01:27:22.370 --> 01:27:25.790 align:middle line:84%
wanted to know about the
morality of markets, which

01:27:25.790 --> 01:27:30.650 align:middle line:84%
is important because now, even
the antitrust authorities are

01:27:30.650 --> 01:27:37.310 align:middle line:84%
thinking about changing their
rules in order to account

01:27:37.310 --> 01:27:39.260 align:middle line:84%
for their responsibility
with respect

01:27:39.260 --> 01:27:41.460 align:middle line:84%
to the environment
and other things.

01:27:41.460 --> 01:27:43.490 align:middle line:84%
So I'll tell you
a little bit more

01:27:43.490 --> 01:27:48.100 align:middle line:84%
about the morality of
markets on Wednesday.

01:27:48.100 --> 01:27:53.000 align:middle line:90%