- Schedule of Classes - October 29, 2020 7:14PM EDT
- Course Catalog - October 29, 2020 7:15PM EDT
Course information provided by the Courses of Study 2020-2021.
Focuses on empirical strategies to identify the causal effects of public policies and programs. The course uses problem sets based on real-world examples and data to examine techniques for analyzing nonexperimental data including control function approaches, matching methods, panel-data methods, selection models, instrumental variables, and regression-discontinuity methods. The emphasis throughout, however, is on the critical role of research design in facilitating credible causal inference. The course aids students in both learning to implement a variety of statistical tools using large data sets, and in learning to select which tools are best suited to a given research project.
When Offered Fall.
Prerequisites/Corequisites Prerequisite: graduate course in econometrics (e.g., ILRLE 7490 or AEM 7100).
Regular Academic Session. Combined with: PAM 6090
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
- TROnline Meeting
- Sep 2 - Dec 16, 2020
Instruction Mode: Online
PhD Students will receive priority off the waitlist.
Or send this URL: