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Empirical Methods II
API 202M C

Course Information

Description

Intended as a continuation of API-201, this 5-week module equips students with an understanding of common tools of quantitative empirical analysis in policy applications. Much of the learning will take place through hands-on analysis of data sets, as well as case studies illustrating critical concepts. The course will cover describing relationships between multiple variables, handling data in the real world, the challenges surrounding making causal claims, and interpreting the results of studies in a way that is both technically sound and policy relevant. The module will focus primarily on the tool of regression analysis. The course also provides students an opportunity to become more proficient in the use of generative AI tools to effectively analyze quantitative data.

Please note, API-202M is offered January 25 – February 26, 2027.

Course Notes

Prerequisite: API-201 or equivalent. May not be taken for credit with API-210.

School Harvard Kennedy School
Credits 2
Cross Reg

Not Available for Cross Registration

Department HKS Government
Course Component Lecture
Instruction Mode In Person
Grading Basis HKS Letter Graded
Course Requirements Prerequisite: API-201 OR API-201X
Academic Areas Markets, Business, and Government