Advanced Statistical Analysis for Public Policy and Management

Introduces students to advanced statistical methods used in policy analysis, program evaluation, and quantitative management. Building on the basic regression model, the course extends students' understanding of the application of regression analysis and time series analysis to policy and management data. Topics include multiple regression, regression with dummy variables, nonlinear relationships, time series analysis, interrupted time series analysis, and path analysis. Emphasis on students' ability to build and test their own models using real-world policy and management data and to critically interpret the models of others.