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Home > Degree Programs > Teaching & Courses > 2012-2013 Course Listing > Empirical Methods II
API-202 B: Empirical Methods II
Faculty: David Yanagizawa-Drott
Schedule
| Day | Time | Location | |
|---|---|---|---|
| First Day | 1/28 | ||
| Meet Day | M/W | 10:10 AM - 11:30 AM | L280 |
| Review | F | 10:10 AM - 11:30 AM | L130 |
| 2nd Review, Fri, 1:10-2:30, L332. Students may attend any of the B/C/D review sessions | |||
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. API-202B is only open to students enrolled in IGA-100 during the spring 2013 semester.