Bayesian estimation of DSGE models: Identification using a diagnostic indicator

Jagjit Chadha and Katsuyuki Shibayama

Journal of Economic Dynamics and Control, 2018, vol. 95, issue C, 172-186

Abstract: Koop et al. (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 artificial 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 models; Identification (search for similar items in EconPapers)
JEL-codes: C51 C52 E32 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Related works:
Working Paper: Bayesian Estimation of DSGE Models: identification using a diagnostic indicator (2018)
Working Paper: Bayesian estimation of DSGE models: identification using a diagnostic indicator (2018)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:dyncon:v:95:y:2018:i:c:p:172-186

DOI: 10.1016/j.jedc.2018.08.005

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