This module is concerned with topics in modern microeconometrics. Its
coverage begins with an examination of the nature of causal and noncausal models, a discussion of the nature of microeconomic data structures, and a review of core econometric methods.
It then proceeds to cover the analysis of limited dependent variable models, including discrete choice models and selection models, and then to examine program evaluation methods, including difference-in-differences estimators, regression discontinuity approach, and instrumental variables
methods.
Feedback for this module will occur through class meetings where we will go over the answers to problem sets and where you will be able to ask questions about your own method of solution; answers that will be posted on the website for the module that will give you written guidance on the appropriate method to approach the problems, assignments, and tests; and office hours where any additional questions can be addressed. You should be sure that you use these methods to understand how to improve your own performance.
- Module Supervisor: Shin Kanaya