Advanced Empirical Methods for Policy Analysis

PADM-GP.2172, 3 points.

Semester: Fall


The goal of this course is to provide students with an introduction to advanced empirical methods. We begin by discussing a framework for causal inference and how randomized controlled trials provide a simple and powerful template for thinking about causal questions. We then develop a sequence of advanced empirical methods as alternatives to randomized trials, in settings where experiments are infeasible or not desirable. In particular we discuss regression discontinuity, matching methods, difference-in-differences and panel data, and instrumental variables. We will discuss applications from a variety of domestic and international policy settings, and learn how to apply these methods to real-world data sets. Skills students will acquire in this course include: the capacity to reason causally and empirically, the ability critically to assess empirical work, knowledge of advanced quantitative tools, and expertise in applying these methods to policy problems.



Semester Instructor Syllabus Link
Fall 2015Rajeev DehejiaSyllabus
Fall 2014Rajeev DehejiaSyllabus
Fall 2013Rajeev DehejiaSyllabus
Fall 2012Rajeev DehejiaSyllabus
Semester Instructor Evaluation Link
Fall 2015Rajeev DehejiaEvaluation
Fall 2013Rajeev DehejiaEvaluation
Puck with Street Sign

Dehejia, Rajeev

Weekly Schedule:
Wed - 6:45 pm to 9:30 pm

Session Dates:
09/06/2016 to 12/16/2016

Bldg:BOBS Room:LL139