API-202 B: Empirical Methods II

Semester: Spring

Credit: 1.0

Faculty: Daniel Shoag

Schedule

Day Time Location
First Day 1/26
Meet Day M/W 8:40 AM - 10:00 AM L280
Review F 2:40 PM - 4:00 PM L230

Description

Intended as a continuation of API-201, this course equips students with an understanding of common tools of empirical analysis in policy applications. 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 selection effects; the advantages and disadvantages of experimental, quasi-experimental, and observational data; and instrumental variable 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.