Quantitative Analysis for Policymakers

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 and data from randomized controlled experiments are stressed. By the end of the course students are able to do their own empirical analysis using statistical software package, interpret regression results and competently assess the work of others. The course assumes a fluency in high school algebra.