fbpx Empirical Methods II | Harvard Kennedy School

Deirdre Bloome

Appointment
Professor of Public Policy

Emily Mower

Appointment
Adjunct Lecturer in Public Policy

Benjamin Schneer Photo

Benjamin Schneer

Appointment
Assistant Professor of Public Policy
617-496-0666
Teddy Svoronos Photo

Teddy Svoronos

Appointment
Lecturer in Public Policy

API-202

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, as well as case studies illustrating critical concepts. The course will cover the mechanics of regression analysis, including multiple regression, dummy variables, and binary dependent variables; as well as program evaluation, including observational, experimental, and quasi-experimental 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.