LAW 243

Bayesian Statistics and Econometrics

Law School

Recommended for route(s):

[ Regulatory & Policy ] International Law: General

General course Description:

(Same as PUBLPOL 303C) This course examines econometrics from a Bayesian perspective including linear and nonlinear regression, covariance structures, panel data, qualitative variable models, nonparametric and semiparametric methods, time series, Bayesian model averaging and variable selection. It explores Bayesian methodology including Markov Chain Monte Carlo methods, hierarchical models, model checking, mixture models, empirical Bayes approaches, approximations, and computational issues and gives some attention to foundations.

Course Style: A Substantive/Quantitative course is one that teaches the rules and theory of a quantitative subject area that relates to the practice of law.

Course Frequency: Offered once a year

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