PAM 6091

PAM 6091

Course information provided by the Courses of Study 2020-2021.

This course is the second of a two-course sequence. Both PAM 6090 and this course are, for the most part, targeted at students looking to do empirical research into the effects of some X on some Y. Both courses require students to complete problem sets that involve "hands-on" exercises – some based on real data and some using Monte Carlo simulations. The hope is that this "learning by doing" will reinforce what is taught in class. Usually, the first course covers core methods, specifically regression adjustment, matching and instrumental variables. This second course covers additional topics in matching (we will touch on machine learning methods in the process), regression discontinuity designs, panel data methods, and mediation analysis in spring 2019. 

When Offered Spring.

Prerequisites/Corequisites Prerequisite: PAM 6090.

View Enrollment Information

Enrollment Information
Syllabi: 1 available
  •   Regular Academic Session.  Combined with: ECON 6591

  • 3 Credits Graded

  • 16643PAM 6091  LEC 001

    • TROnline Meeting
    • Feb 8 - May 14, 2021
    • Pei, Z

  • Instruction Mode: Online