Quantitative Analysis for Policymakers (Advanced)

Statistical analysis with applications to public policy, begins with an introduction to probability theory followed by discussion of statistical methods for estimating the quantitative effects of changes in policy variables. Regression methods appropriate for the analysis of observational data & data from randomized controlled experiments are stressed. By course end, students are able to do their own empirical analysis using statistical software package & interpret regression results from the professional literature. The course assumes fluency in calculus, which is necessary for rigorous mathematical analysis of probability & statistics.