Quantitative Analysis II for Internation

Prerequisites: SIPA U6500

This course is the second semester in the SIPA statistics sequence, extending the multiple regression framework introduced in the first semester as a tool for policy analysis and program evaluation (also known as econometrics). The first half of the course will focus largely on the fundamentals of multiple regression analysis for causal inference. The second half builds on this foundation and introduces experimental and quasi-experimental methods that are widely used in empirical research. Additional topics on data collection, statistical analysis and interpretation will also be covered to help students become thoughtful consumers of statistical analysis for public policy. Students will receive instructional support in Stata to carry out regression analysis and complete assignments. Assignments and supplementary topics may vary by instructor, please review syllabi for further details.