Graduate School der Uni Hamburg: Estimation and Solution of DSGE Models: Application to Labor Search Models

Institution: Graduate School der Universität Hamburg

Dozent: Alexander Meyer-Gohde

Datum und Zeitplanung:

  • Fr., 10.04.15,   09-17 Uhr
  • Fr., 08.05.15, 09-17 Uhr
  • Fr., 26.06.15, 09-17 Uhr

Ort: Universität Hamburg, Raum 1077 (VMP 5)

Beschreibung:

The course is based on techniques and applications and explores the importance of the labor market in macroeconomics using a variety of methodological tools. It is designed to develop and sharpen students’ prior knowledge dynamic macroeconomics and econometrics with a mixture of lectures on state-of-the-art solution and estimation techniques for macroeconomic models and application of the techniques to search theory with standard software packages and models from the literature.

 

Course Outline

  1. Introduction
Concepts/techniques: Data filtering, DSGE linearized difference equations
Main readings: King and Rebelo (1993), Shimer (2005), Uhlig (1997) sec. 3
Additional reading: Hamilton (1994) ch. 1

 

  1. Baseline Search and Matching Model
Concepts/techniques: Intertemporal optimization, search and matching
Reading: Merz (1995)

 

  1. Root Finding Methods, Linear Solution Methods
Concepts/techniques: Bisection, Newton-based methods, eigenvalue methods
Reading: Judd (1998) ch. 5, Uhlig (1997) sec. 6 and 7
Additional readings: Fernández-Villaverde (2010) sec. 4.1

 

  1. State Space and Likelihood Function
Concepts/techniques: Kalman filter, likelihood function
Main reading: Fernández-Villaverde (2010) sec. 4.2
Additional reading: Hamilton (1994) ch. 13.2 and 13.4

 

  1. Estimation Methods and Model Analysis
Concepts/techniques: Maximum likelihood, Bayesian methods, Markov Chain Monte Carlo, Diagnostics, Model Comparison
Main reading: Fernández-Villaverde (2010) sec. 4 and 5
Additional reading: An and Schorfheide (2007) sec. 3 and 4

 

  1. Nonlinear Methods
Concepts/techniques: Perturbation, Particle Filter
Main reading: Fernández-Villaverde (2010) sec. 4.2.2 and An and Schorfheide (2007) sec. 6
Additional reading: Lan and Meyer-Gohde (2013), Schmitt-Grohé and Uribe (2004)

 

 

Anmeldung:

Anmeldungen sind ab sofort bis zum 19.03.2015 über Geventis https://www.geventis.uni-hamburg.de möglich.