Bayesian and Numerical Methods

4 credits

Topics include Bayesian inference and decision theory, loss functions, estimation of dynamic stochastic general equilibrium models, nonlinear time series, state-space models, spatial-temporal models, and high-frequency data. Prerequisites: graduate standing and ECON 220A, 220B, 220C, 220D, and 220E or consent of instructor.