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Faculty: Amitabh Chandra
|Meet Day||M/W||10:10 AM - 11:30 AM||STARR|
|Review||F||1:10 PM - 2:30 PM||L280|
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 Z section uses calculus in order to cover more ground quickly. Fluency in derivatives and integration is assumed. Students who took API-201 (A, B or C section) should have received an A or A- to enroll in the Z section of API-202. Students who took API-201Z should have received a B+, A- or A to enroll in the Z section of API-202. May not be taken for credit with API-210.