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Faculty: Daniel Shoag
|Meet Day||M/W||8:40 AM - 10:00 AM||STARR|
|Review||F||10:10 AM - 11:30 AM||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. API-202I is part of a three course integrated cohort for MPP students interested in the Business and Government Policy (BGP) policy area of concentration. Students who enroll in API-202I must also enroll in API-102I and DPI-201I during the Spring 2014 semester. Participation in this experimental integrated cohort—which also features co-curricular experiences—is highly recommended for aspiring BGP concentrators.