Date: 2009
Type: Working Paper
Matching Theory and Data: Bayesian Vector Autoregression and Dynamic Stochastic General Equilibrium Models
Working Paper, EUI MWP, 2009/27
KRIWOLUZKY, Alexander, Matching Theory and Data: Bayesian Vector Autoregression and Dynamic Stochastic General Equilibrium Models, EUI MWP, 2009/27 - https://hdl.handle.net/1814/12052
Retrieved from Cadmus, EUI Research Repository
This paper shows how to identify the structural shocks of a Vector Autoregression (VAR) while simultaneously estimating a dynamic stochastic general equilibrium (DSGE) model that is not assumed to replicate the data-generating process. It proposes a framework for estimating the parameters of the VAR model and the DSGE model jointly: the VAR model is identified by sign restrictions derived from the DSGE model; the DSGE model is estimated by matching the corresponding impulse response functions.
Additional information:
I am especially thankful to Harald Uhlig, Chris Sims, Bartosz Mackowiak, Helmut Lütkepohl, Wouter den Haan, Francesco Ravazzolo, Lenno Uusküla, Morten Ravn and Martin Kliem for their comments and suggestions. The paper further benefitted from seminar participants at Norges Bank.
Cadmus permanent link: https://hdl.handle.net/1814/12052
ISSN: 1830-7728
Series/Number: EUI MWP; 2009/27
Sponsorship and Funder information:
Part of the research was conducted while I was visiting Princeton University funded by the German Academic Exchange Service. Further grants from the DEKA Bank and the SFB 649 are gratefully acknowledged.
