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Bayesian Estimation of DSGE Models: identification using a diagnostic indicator

Jagjit Chadha () and Katsuyuki Shibayama

No 1825, Discussion Papers from Centre for Macroeconomics (CFM)

Abstract: Koop, Pesaran and Smith (2013) suggest a simple diagnostic indicator for the Bayesian estimation of the parameters of a DSGE model. They show that, if a parameter is well identified, the precision of the posterior should improve as the (artificial) data size T increases, and the indicator checks the speed at which precision improves. As it does not require any additional programming, a researcher just needs to generate artiÖcial data and estimate the model with increasing sample size, T. We apply this indicator to the benchmark Smets and Wouters' (2007) DSGE model of the US economy, and suggest how to implement this indicator on DSGE models.

Keywords: Bayesian estimation; Dynamic stochastic general equilibrium (search for similar items in EconPapers)
JEL-codes: C51 C52 E32 (search for similar items in EconPapers)
Pages: 32 pages
Date: 2018-09
New Economics Papers: this item is included in nep-dge, nep-ecm and nep-mac
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Citations: View citations in EconPapers (1) Track citations by RSS feed

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Related works:
Journal Article: Bayesian estimation of DSGE models: Identification using a diagnostic indicator (2018) Downloads
Working Paper: Bayesian estimation of DSGE models: identification using a diagnostic indicator (2018) Downloads
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