Econometrics
14.382 · Economics · Graduate · Spring 2017
Prof. Victor Chernozhukov
The course will cover several key models as well as identification and estimation methods used in modern econometrics. We shall being with exploring some leading models of econometrics, then seeing structures, then providing methods of identification, estimation, and inference. You will get lots of hands-on experience with using the methods on real data sets.
The syllabus, on MIT OpenCourseWare
The full course — syllabus, assigned readings, problem sets, exams, and lecture notes — lives on OCW. These open the real thing:
Syllabus ↗
Course overview, grading, schedule
Readings ↗
The assigned reading list, session by session
Assignments ↗
Problem sets and projects
Full course on OCW ↗
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Attribution
Prof. Victor Chernozhukov. 14.382 Econometrics. Spring 2017. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: CC BY-NC-SA 4.0.
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