ECON 524
Advanced Methods for Causal Inference
Last Offered Spring 2023
Division II
This course is not offered in the current catalog

Class Details

How do we estimate the causal effect of a policy on an outcome? Building on a basic understanding of econometrics and statistics, this methodology course will take students through several applied microeconometric techniques for answering this question. Students will be expected to use statistical software throughout, as we explore the inner workings of these methods and the assumptions required for them to deliver credible estimates. We will discuss the randomized trial and its variants, then cover difference-in-difference, regression discontinuity, and instrumental variables. We will discuss historical roots of modern methods, and will explore newer alternatives to the most commonly used kinds of statistical tests.
The Class: Format: seminar; Students will work on laptops in class. Students without laptops should borrow them from the library. Some prior knowledge of either Stata, R, Matlab, or other mathematical/statistical software is essential.
Limit: 19
Expected: 19
Class#: 3720
Grading: no pass/fail option, yes fifth course option
Requirements/Evaluation: Grades are principally based on problem sets, participation in the in-class activities, one in-class exam, and a final replication project.
Prerequisites: Econ 251 and either Econ 255 or Stat 346. CDE Fellows should have taken ECON 502 or 503.
Enrollment Preferences: Junior and senior Economics majors. CDE Fellows require the instructor's permission.
Distributions: Division II
Notes: This course is cross-listed and the prefixes carry the following divisional credit:
ECON 474 Division II ECON 524 Division II

Class Grid

Updated 7:22 am

Course Catalog Search

(searches Title and Course Description only)



Start Time
End Time