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Faculty: Joshua Goodman
|Meet Day||M/W||8:40 AM - 10:00 AM||L280|
|Review||F||2:40 PM - 4:00 PM||L230|
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.