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Advanced Quantitative Methods II: Causal Inference
API 210M

Course Information

Description

Intended as a continuation of API-209, Advanced Quantitative Methods I, this course focuses on developing the theoretical basis and practical application of the most common tools of empirical research. In particular, we will study how and when empirical research can make causal claims. Methods covered include randomized evaluations, instrumental variables, regression discontinuity, and difference-in-differences. Foundations of analysis will be coupled with hands-on examples and assignments involving the analysis of data sets.

Course Notes

Prerequisite: API-209 or permission of instructor. This course is open to non-MPA/ID students only by permission of instructor. May not be taken for credit with API-202.

School Harvard Kennedy School
Credits 2
Cross Reg

Available for Harvard Cross Registration

Department HKS Government
Course Component Lecture
Instruction Mode In Person
Grading Basis HKS Letter Graded
Course Requirements Prerequisite: (MPAID students only) AND (API-209 OR API-209X)
Academic Areas International Development