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Matching Theory and Data: Bayesian Vector Autoregression and Dynamic Stochastic General Equilibrium Models Author info | Abstract | Publisher info | Download info | Related research | Statistics Alexander Kriwoluzky
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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.
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Paper provided by European University Institute in its series Economics Working Papers with number
ECO2009/29.
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Date of creation: 2009Date of revision:
Handle: RePEc:eui:euiwps:eco2009/29Contact details of provider: Postal: Badia Fiesolana, Via dei Roccettini, 9, 50016 San Domenico di Fiesole (FI) Italy Phone: +39-055-4685.982 Fax: +39-055-4685.902 Web page: http://www.eui.eu/ECO/ More information through EDIRC
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Keywords: Bayesian Model Estimation ; Vector Autoregression ; Identification ; Other versions of this item:
Find related papers by JEL classification: C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
This paper has been announced in the following NEP Reports :
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