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Bayesian Estimation of Dynamic Stochastic General Equilibrium Model Using UK Data

Listed author(s):
  • Kamal, Mona

This paper applies the Bayesian method to estimate a Dynamic Stochastic General Equilibrium (DSGE) model using quarterly data for the UK over the period from 1971:Q1 through 2009:Q2. The contribution of the paper is two-fold. First, we estimate a model characterised by nominal and real frictions. This estimation allows us to recover the structural parameters of the economy and study the transmission mechanism of a government spending shock. Second, we investigate how the inclusion of fiscal policy rules affect the propagation of shocks and the ability of the model to fit the data. We establish that this inclusion enable the model to fit the data more closely. In addition, it has an impact on the qualitative responses of macroeconomic variables to the government spending shock.

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File URL: https://mpra.ub.uni-muenchen.de/29239/2/MPRA_paper_29239.pdf
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 28988.

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Date of creation: 17 Feb 2011
Handle: RePEc:pra:mprapa:28988
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