Advanced Econometrics for Public Policy and Global Affairs

(3 Credit Hours) · Undergraduate

The course covers the core methods necessary to read and conduct economic research using examples from public policy, development, and applied economics literatures. Students should have a good understanding of statistical inference and linear regression methods to be eligible. The course stresses the practical implementation of various econometric methodologies to analyze longitudinal datasets and "big data." Lectures will provide a comprehensive introduction to Randomized Controlled Trials (RCTs) and survey design, quasi-experimental research designs, non-parametric methods, Maximum Likelihood Estimation (MLE), the Generalized Method of Moments (GMM), time series econometrics, and modern machine learning. The course will also provide a refresher on hypothesis testing and model specification testing. Readings and practical problem sets will be posted each week to provide hands-on numerical experience to students.