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Home > Degree Programs > Teaching & Courses > 2012-2013 Course Listing > Empirical Methods II
API-202 A: Empirical Methods II
Faculty: Amitabh Chandra
Schedule
| Day | Time | Location | |
|---|---|---|---|
| First Day | 1/28 | ||
| Meet Day | M/W | 10:10 AM - 11:30 AM | LAND |
| Review | F | 1:10 PM - 2:30 PM | L140 |
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.
The A section uses calculus in order to cover more ground quickly. Fluency in derivatives and integration is assumed. Students who took the BCD sections of API-201 should have received an A to enroll in the A section of API-202. May not be taken for credit with API-210.