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Instructor
Prof. Victor Chernozhukov
Departments
Economics
As Taught In
Spring 2017
Level
Graduate
Topics
Social Science
Economics
Econometrics
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14.382 | Spring 2017 | Graduate
Econometrics
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Syllabus
Lecture Notes
Assignments
Homework 1
Homework 2
Homework 3
Homework 4
Homework 5
Homework 6
Recitations
Exams
Related Resources
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Exams
14.382 Final Exam from 2004
14.382 Midterm from 2006
Final Exam from 14.382 Fall 2016
Lecture Notes
R-NPA-functions-1se-union-rweight.R
14.382 Spring 2017 Lecture 1: Least Squares, Adaptive Partialling Out, Simultaneous Inference
14.382 Spring 2017 Lecture 10: Nonlinear Panel Data
14.382 Spring 2017 Lecture 11: Inference for High-Dimensional Sparse Econometric Models
14.382 Spring 2017 Lecture 12: Treatment Effects
14.382 Spring 2017 Lecture 2: Structural Equations Models and IV, Take 1
14.382 Spring 2017 Lecture 3: Structural Equations Models and GMM
14.382 Spring 2017 Lecture 4: Euler Equations, Nonlinear GMM, and Other Adventures
14.382 Spring 2017 Lecture 5: Bootstrapping
14.382 Spring 2017 Lecture 7: Distribution Regression and Counterfactual Analysis
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Recitations
14.382 Spring 2017 Recitation 1 Notes: Overview of regression
14.382 Spring 2017 Recitation 3 Notes: Graphical formulation of SEMs
14.382 Spring 2017 Recitation Notes 4: Asymptotics, Take 1
Course Info
Instructor
Prof. Victor Chernozhukov
Departments
Economics
As Taught In
Spring 2017
Level
Graduate
Topics
Social Science
Economics
Econometrics
Learning Resource Types
assignment
Problem Sets
grading
Exams
notes
Lecture Notes
Download Course