API-202 A: Empirical Methods II

Semester: Spring

Credit: 1.0

Faculty: Joshua Goodman

Schedule

Day Time Location
First Day 1/25
Meet Day M/W 10:15 AM - 11:30 AM STARR
Review F 1:15 PM - 2:30 PM L130

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.

 

 

 

 


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