Excerpt from course description

Topics in Macroeconomics II

Introduction

This course will focus on numerical solutions, on the implementation on RISE, and on applications to forecasting, conditional projections, and other policy exercises (see separate program)

Course content

Lecture 1-6 is covered in DRE XX24 Topics in Macroeconomics I
Lecture 1: Calibration of DSGE models
Lectures 2-3: Maximum likelihood estimation of DSGE models
Lectures 4-5: Bayesian analysis and Markov chain Monte Carlo methods
Lecture 6: Bayesian estimation of DSGE models

This course covers lectures 7 - 12.
Lecture 7: Identification issues, DSGE-VARs, Choice of data for estimation.
Lecture 8: Prior and measurement errors specification problems
Lecture 9: Semi-structural DSGE; Data rich estimation
Lecture 10: Trends and non-balance growth paths; Eliciting priors from the data
Lecture 11: Prior Predictive analysis; Time varying coefficients DSGEs.
Lecture 12: Misspecification: composite likelikood and quasi-Bayesian methods.

Disclaimer

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