The goals of the course are as follows:
1) To provide the students with an introduction to Bayesian econometric modeling and estimation methods.
2) To give the students a set of tools that will allow them to tackle complex econometric models, the estimation of which might be infeasible using classical methods
3) To give the students sufficient opportunity to program the estimation algorithms covered in class. Much of the class will be based on learning by doing.
4) To give the students an opportunity to present and discuss published articles and their own work: each student will make two presentations in class. One to lead the discussion of an article and one to present the final project.