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Faculty: Simone Schaner
|Term Start Date||1/23|
|Meet Day||M/W||10:15 AM - 11:30 AM||Belfer 200 Starr Aud (HKS)|
Intended as a continuation of API-201, this course equips students with an understanding of common tools of empirical analysis in policy applications, with a particular emphasis on causal inference. Much of the learning will take place through hands-on analysis of data sets. The course will cover regression analysis, including multiple regression, dummy variables, and binary dependent variables; as well as program evaluation, including experimental, quasi-experimental, and observational techniques. The final part of the course includes an integrative exercise in which students will have the opportunity to assess empirical analysis in an open-ended and professionally realistic project.
Prerequisite: API-201 or equivalent. May not be taken for credit with API-210.
Part of a four course integrated cohort tailored to the needs of MPP students interested in the International and Global Affairs (IGA) policy area of concentration. Students who enroll in API-202I must also enroll in API-102I, DPI-101I, and IGA-100 during the spring semester. Participation in this experimental integrated cohort is required for prospective IGA concentrators
Review Session: Friday 11:45am-1:00pm (L140)