PAM 6090

PAM 6090

Course information provided by the Courses of Study 2022-2023.

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).

View Enrollment Information

  •   Regular Academic Session.  Combined with: ECON 6590

  • 3 Credits Stdnt Opt

  • 10901 PAM 6090   LEC 001

  • Instruction Mode: In Person
    PhD Students will receive priority off the waitlist.