This course is the second semester of a year-long Quantitative Policy Analysis sequence. The course will focus on quantitative tools to empower students to assess the effectiveness and impact of policy. The second semester will build on the first course by introducing additional tools focusing on causal interpretation. Techniques include natural experiments, randomized control trials, and quasi-experimental methods (including difference-in-difference, regression discontinuity, panel data techniques). Similar to the first semester and in addition to our core content, each week students will read an article utilizing a quantitative policy analysis method to understand the approach and critique the model assumptions. Homework assignments will put theory into practice and teach students coding skills using STATA.