GSPP Courses

PUBPOL 240C: Decision Analysis, Modeling, and Quantitative Methods

Instructor: Jacob Grumbach

This course covers intermediate quantitative methods for public policy analysis. The primary learning goals for the course are that students understand how to 1) implement and interpret linear regression; 2) distinguish correlation from causation; 3) code descriptive statistics, regressions, and data visualizations; and 4) engage in self-learning of additional methods depending on the student's research interests. We will also learn, in a mostly conceptual way, about more advanced linear models and 'quasi-experimental' research design such that students leave the course as effective consumers of these methods.