TOPICS IN ECONOMETRICS II
Discussion of selected topics in advanced econometrics that focus on the mathematical and statistical modeling of such phenomena as (1) extended panel data methods; (2) spatial econometrics; (3) bootstrapping; (4) factor models, wavelets, smoothing-splines, sieves; (5) model averaging; (6) continuous and discrete dynamic programming models; (7) econometrics of auctions; (8) BLP methods of demand estimation; (9) structural and non-structural models of producer behavior; (10) point and set identification; (11) Bayesian Econometrics/ Metropolis-Hastings MCMC algorithms. Repeatable for Credit.
Prerequisites & course information
Short Title: TOPICS IN ECONOMETRICS II Department: Economics Grade Mode: Standard Letter Course Type: Lecture Credit Hours: 3 Restrictions: Enrollment is limited to Graduate level students. Course Level: Graduate Prerequisite(s): ECON 511
Sources
- Course catalogue ↗2026–2027