Seminar in Econometrics

3 units

The purpose of this course is to provide a detailed coverage of Bayesian inferential methods and their applications to a variety of problems drawn from economics and business. Starting with basic ideas, the treatment covers Bayesian regression for univariate, multivariate and panel outcomes, hierarchical prior modeling, MCMC simulation techniques, computation of the marginal likelihood and model choice, and nonparametric techniques. A significant goal of the course is to show how these methods can be used for causal inference in the realm of the classical instrumental variables setting and in quasi experimental designs such as regression discontinuity designs. The course should be valuable for a variety of students including those with primary interest in economics, finance, marketing, operations, accounting, political science, statistics and biostatistics.