Statistics II for Public Policy Analysis

The course introduces students to the use of multiple regression analysis and causal inference for analyzing data in the social sciences. We will study a variety of designs for empirical public policy analysis, from random assignment to quasi-experimental evaluation methods, and students will have the opportunity to analyze actual datasets. We will also study the strengths and weaknesses of various causal inference strategies. Please note that students must be present at the first class meeting in order to be have the option to enroll in this course. They must have downloaded Stata 14 (available free of charge through software.brown.edu) and picked up and registered their iClicker on Canvas (see syllabus for details). Because the class meets once per week and the first assignment will be distributed during the first class, we will be launching directly into substantive material for the course. Week one/meeting one is not only an introduction. It is therefore essential that all students attend beginning from the first class meeting.