Course # 58001 This class will provide an introduction to quantitative analysis in public policy. Much of the class is devoted to learning about the effects of policies and answering empirical, policy-relevant questions from observational data. In doing so, the course provides an introduction to critical, quantitative thinking in general. Students will be introduced to the basic toolkit of policy analysis, which includes sampling, hypothesis testing, Bayesian inference, regression, experiments, instrumental variables, differences in differences, and regression discontinuity. Students will also learn how to use a statistical software program to organize and analyze data. More importantly, students will learn the principles of critical thinking essential for careful and credible policy analysis. Recent News More news Announcing the 2024 Stone Center Thesis and Dissertation Award Winners Tue., July 02, 2024 Harris Voices: Viviana Martinez, CLA'20, on What It Means to "Crown Up" Tue., July 02, 2024 Natasha Mathur, MSCAPP’19, on the Connection Between the Real World and Data Tue., June 25, 2024 Upcoming Events More events Harris Campus Visit Wed., July 10, 2024 | 10:00 AM Keller Center 1307 E 60th St Chicago, IL 60637 United States Harris Evening Master's Program Information Session Wed., July 10, 2024 | 12:00 PM Harris Summer Mixer in Washington, DC: Cultivating Policy Connections Wed., July 10, 2024 | 5:00 PM Office of Federal Relations Rooftop 1730 Pennsylvania Ave NW Washington, DC 20004 United States