ECON 488 A: Causal Inference

Winter 2025
Meeting:
TTh 8:30am - 10:20am / MUE 155
SLN:
13897
Section Type:
Lecture
Instructor:
Catalog Description:
Statistical methods for inference about counterfactuals. Focuses on uncovering causal relationships, whereby the researcher is interested in quantifying the effect of a cause on one or more outcome variables of interest. Program evaluation with data from randomized control trials, matching, instrumental variables and LATE, difference-in-difference, synthetic controls, and regression discontinuity design (sharp and fuzzy). Prerequisite: ECON 482; recommended: MATH 126
GE Requirements Met:
Natural Sciences (NSc)
Credits:
5.0
Status:
Active
Last updated:
February 1, 2025 - 3:07 am