This is an advanced course for students who plan to become policy analysts.  Students (a) extend their familiarity with methodologic issues, including research designs, measurement problems, and analytic approaches; (b) get hands-on experience with management, analysis, and presentation of data; and (c) develop skills in reading, critiquing, and reporting on policy-relevant research.

Effective development, planning execution and communication of special projects are critical to all types of public service organizations. Service organization, health providers, nonprofits and government organizations constantly pursue new initiatives and projects to address the demands of their constantly changing environment. This course offers an introduction to the basic concepts and methods for directing projects and provides students with tools that prepare them for success as a project manager. 

The goal of this course is to provide students with an introduction to advanced empirical methods. We begin by discussing a framework for causal inference and how randomized controlled trials provide a simple and powerful template for thinking about causal questions. We then develop a sequence of advanced empirical methods as alternatives to randomized trials, in settings where experiments are infeasible or not desirable. In particular we discuss regression discontinuity, matching methods, difference-in-differences and panel data, and instrumental variables.