Advanced Empirical Methods for Policy Analysis

PADM-GP.2172, 4 points.

Semester: Fall

Courses

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.



Prerequisites:

PADM-GP.2902

Semester Instructor Syllabus Link
Fall 2013Rajeev DehejiaSyllabus
Fall 2012Rajeev DehejiaSyllabus
Semester Instructor Evaluation Link
Fall 2013Rajeev DehejiaEvaluation
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Instructors:
Dehejia, Rajeev

Start Time:
Sep 02, 2014 6:45 pm
End Time:
Dec 12, 2014 8:25 pm

Location:
Bldg:GCASL Room:265