Causal Inference: Statistical Methods for Program Evaluation and Policy Research
Course provides students with a basic knowledge of both how to perform analyses & critique the use of some more advanced statistical methods useful in answering policy questions. While randomized experiments will be discussed, the primary focus will be the challenge of answering causal questions using data that do not meet such standards. Several approaches for observational data including propensity score methods, instrumental variables, difference in differences, fixed effects models & regression discontinuity designs will be discussed. Examples from real public policy studies will be used to illustrate key ideas & methods.
- Old Course Number: E10.2012