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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 and deepen students' facility with computer software widely used in analyzing quantitative data.

Please note, API-202M is offered January 27 â€“ February 28, 2025.

Prerequisite: API-201 or equivalent. May not be taken for credit with API-210. Note that the B and C sections of API-202M use Excel for analysis, while the A and Z sections use R. Please note, students in Section Z of API-202M will continue on to Section Z of API-203M.