Econometrics of Program Evaluation
Instructors
Credits / Language / Semester
2Credits / English / Winter
Objectives/Overview
This course first reviews methodological ideas put forward in order to evaluate an effect of a program.
The methods and ideas covered are the linear regression method, matching method, instrumental variable method,
Local Average Treatment Effect, difference-in-differences with repeated cross section data and using panel data,
regression discontinuity, Blooms method, and others.
The course then reviews empirical works carried out using the ideas. The goal of the course is to bring you
to the frontier of the methods and the best practices of the program evaluation.
Knowledge of econometrics at the level of Wooldridge’s Introductory Econometrics is required.
Keywords
Econometrics, program evaluation, heterogeneity, regression analysis, linear regression, matching method
Teaching Methods
Class room lectures and recitations by TAs
Grading
five out of six 20 minutes exam count 25% toward the final grade. A report that shows your understanding of the
content of the course counts 25% and the final exam counts 50% toward the final grade.
Notes on Taking the Course
Provision for taking course: Econometrics or Core Econometrics, or its equivalent.
Office: Economics Building 1004