ECON 524
Advanced Methods for Causal Inference Spring 2021
Division II
Cross-listed ECON 524 / ECON 474
This is not the current course 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: 15
Expected: 15
Class#: 5069
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
Enrollment Preferences: Junior and senior Economics majors
Distributions: Division II
Notes: This course is cross-listed and the prefixes carry the following divisional credit:
ECON 524 Division II ECON 474 Division II

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