Regression Analysis for Public Policy and Management

4 credits

Builds on introductory statistics and probability through applied statistical modeling and regression analysis. Examines estimation, inference, model specification, and causal inference methods used in policy research. Develops skills in statistical programming, interpretation of empirical evidence, and critical evaluation of research across policy domains including health, criminal justice, fiscal policy, and labor markets. Prerequisite: permission of instructor; recommended: PUBPOL 527.