Master of Public Policy   Master of International Affairs  

Statistics II

This course continues the sequence in statistical modeling. Assuming prior knowledge in simple and multiple linear regression modelling, it introduces you to a new perspective on studying causes and effects in social science research. Based on a framework of causality, the course agenda covers various strategies to uncover causal relationships using statistical tools. We start with reflecting about causality, the ideal research design, and then learn to use a framework to study causal effects. Then, we revisit common regression estimators of causal effects and learn about their limits. Next, we focus on matching, instrumental variables, difference-in-differences and fixed-effects estimators, regression discontinuity designs and techniques to explore moderated relationships. All classes divide their time between theory and application.

This course is for 1st year MPP and MIA students only.