This course presents tools needed for estimation, evaluation, and inference with dynamic stochastic general equilibrium macroeconometric models in academic and policy institutions. Recent work on matching VARs and DSGE dynamics, and on measuring gaps/potentials/star variables and their relationship with model based quantities are discussed.
Lecture 1: Calibration and evaluation of DSGE models
Lectures 2: Maximum likelihood estimation of DSGE models
Lectures 3-4: Bayesian analysis and Markov chain Monte Carlo methods
Lecture 5: Bayesian estimation of DSGE models. Evaluation and forecasting.
Lecture 6: Practical and policy oriented DSGE models. Composite Likelihood
This is an excerpt from the complete course description for the course. If you are an active student at BI, you can find the complete course descriptions with information on eg. learning goals, learning process, curriculum and exam at portal.bi.no. We reserve the right to make changes to this description.