Bayesian Analysis of DSGE Models
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...
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sg-smu-ink.soe_research-13612013-12-26T09:30:07Z Bayesian Analysis of DSGE Models An, Sungbae Schorfheide, Frank 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 linearized DSGE models and a DSGE model that was solved with a second-order perturbation method. 2007-05-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/soe_research/362 info:doi/10.1080/07474930701220071 https://ink.library.smu.edu.sg/context/soe_research/article/1361/viewcontent/auto_convert.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Economics eng Institutional Knowledge at Singapore Management University Bayesian analysis DSGE models Model evaluation Vector autoregressions Econometrics |
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Bayesian analysis DSGE models Model evaluation Vector autoregressions Econometrics An, Sungbae Schorfheide, Frank Bayesian Analysis of DSGE Models |
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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 linearized DSGE models and a DSGE model that was solved with a second-order perturbation method. |
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An, Sungbae Schorfheide, Frank |
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An, Sungbae Schorfheide, Frank |
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An, Sungbae |
title |
Bayesian Analysis of DSGE Models |
title_short |
Bayesian Analysis of DSGE Models |
title_full |
Bayesian Analysis of DSGE Models |
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Bayesian Analysis of DSGE Models |
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Bayesian Analysis of DSGE Models |
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bayesian analysis of dsge models |
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Institutional Knowledge at Singapore Management University |
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2007 |
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https://ink.library.smu.edu.sg/soe_research/362 https://ink.library.smu.edu.sg/context/soe_research/article/1361/viewcontent/auto_convert.pdf |
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