2001
DOI: 10.2139/ssrn.292400
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Comparing New Keynesian Models of the Business Cycle: A Bayesian Approach

Abstract: The baseline New Keynesian model cannot replicate the observed persistence in inflation, output, and real wages for sensible parameter values. As a result, several extensions have been suggested to improve its fit to the data. We use a Bayesian approach to estimate and compare the baseline sticky price model of Calvo's [1983. Staggered prices in a utility maximizing framework. Journal of Monetary Economics 12, 383-398.] and three extensions. Our empirical results are as follows. First, we find that adding pric… Show more

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Cited by 121 publications
(161 citation statements)
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“…We employed a standard New Keynesian model including nominal price and wage rigidities (as in Erceg et al, 2000;Rabanal and Rubio-Ramirez, 2005). By estimating the correct model structure, we can show that FIML provides superior results in small samples.…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…We employed a standard New Keynesian model including nominal price and wage rigidities (as in Erceg et al, 2000;Rabanal and Rubio-Ramirez, 2005). By estimating the correct model structure, we can show that FIML provides superior results in small samples.…”
Section: Resultsmentioning
confidence: 99%
“…In particular, we stick to a model version which has been successfully analyzed empirically by Rabanal and Rubio-Ramirez (2005) In the following we present the model structure that can be derived by a log-linear approximation around the steady-state symmetric equilibrium with zero price and wage inflation rates (see Erceg et al, 2000;Rabanal and Rubio-Ramirez, 2005, for a detailed derivation).…”
Section: The Model Economymentioning
confidence: 99%
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“…To this end, the Random-Walk Metropolis-Hastings algorithm and estimation setup as exposed in Lubik and Schorfheide (2006), An and Schorfheide (2007) and Fernández-Villaverde (2009) is used. Furthermore, modified harmonic mean estimates of the marginal densities are computed to compare the models (see Geweke (1999), Rabanal and Rubio-Ramirez (2005) and An and Schorfheide (2007)). …”
Section: Estimationmentioning
confidence: 99%
“…A similar approach is followed by Amato and Laubach (2003) and Boivin and Giannoni (2003). Alternatively, Lubik and Schorfheide (2004), Smets and Wouters (2003), Canova (2004) and Rabanal and Rubio-Ramírez (2005), among others, follow a full information maximum-likelihood Bayesian approach.…”
Section: Introductionmentioning
confidence: 99%