2007
DOI: 10.1080/07474930701220071
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Bayesian Analysis of DSGE Models

Abstract: This paper reviews Bayesian methods that have been developed in recent years to estimate and evaluate dynamic stochastic general equilibrium (DSGE) models. We consider the estimation of linearized DSGE models, the evaluation of models based on Bayesian model checking, posterior odds comparisons, and comparisons to vector autoregressions, as well as the non-linear estimation based on a second-order accurate model solution. These methods are applied to data generated from correctly specified and misspecified lin… Show more

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Cited by 933 publications
(249 citation statements)
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References 99 publications
(86 reference statements)
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“…To overcome the resulting stochastic singularity two options are available: either basing estimation on as many observed variables as there are shocks; or adding measurement error shocks, completing the probability space of each model so as to render the theoretical covariance matrix of the variables in   no longer singular 4 . Within the context of our investigation each alternative offers advantages and disadvantages.…”
Section: Data and Implementationmentioning
confidence: 99%
“…To overcome the resulting stochastic singularity two options are available: either basing estimation on as many observed variables as there are shocks; or adding measurement error shocks, completing the probability space of each model so as to render the theoretical covariance matrix of the variables in   no longer singular 4 . Within the context of our investigation each alternative offers advantages and disadvantages.…”
Section: Data and Implementationmentioning
confidence: 99%
“…A literatura apresenta diversos procedimentos para a determinação do valor dos parâmetros de modelos DSGE, desde abordagens informais como a calibração (ver, por exemplo, Kydland & Prescott, 1982), que evoluíram para a estimação formal usando método generalizado dos momentos (ver, entre outros, Christiano et al, 2005), a estimações baseadas em funções de verossimilhança tanto com abordagem clássica (McGrattan, 1994), quanto com a Bayesiana (An & Schorfheide, 2007).…”
Section: Estimaçãounclassified
“…Entretanto, a estimação Bayesiana de modelos DSGE possui vantagens em relação aos métodos de estimação clássicos, pois permite incorporar informações adicionais disponíveis ao pesquisador à estimação dos parâmetros através de distribuições a priori para estes (ver An & Schorfheide, 2007, para uma discussão a respeito de outras vantagens desta abordagem). Estas informações a priori podem servir para reduzir a importância de determinadas regiões do espaço paramétrico que não condizem com observações do mundo real não contidas no vetor de séries de tempo utilizado na estimação.…”
Section: Estimaçãounclassified
“…See An and Schorfheide (2007) for a review of Bayesian methods for the estimation of DSGE models. Note 2.…”
Section: Notesmentioning
confidence: 99%