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文章基本信息

  • 标题:Assessing Brazilian macroeconomic dynamics using a Markov-switching DSGE model
  • 作者:Caio César Soares Gonçalves ; Marcelo Savino Portugal ; Edilean Kleber da Silva Bejarano Aragón
  • 期刊名称:EconomiA
  • 印刷版ISSN:1517-7580
  • 电子版ISSN:2358-2820
  • 出版年度:2016
  • 卷号:17
  • 期号:1
  • 页码:23-42
  • DOI:10.1016/j.econ.2016.03.001
  • 出版社:Elsevier B.V.
  • 摘要:Abstract The goal of this paper is to evaluate the behavior of the main parameters of the Brazilian economy through the estimation of an open-economy dynamic stochastic general equilibrium (DSGE) model using Bayesian methods and allowing for Markov switching of certain parameters. Using the {DSGE} model developed by Justiniano and Preston (2010) and the solution method of the Markov switching {DSGE} (MS-DSGE) model proposed by Farmer et al. (2008), this paper found a superior fit in the data of Markov switching models, rejecting the hypothesis of constant parameters in {DSGE} models for the Brazilian economy.
  • 关键词:DSGE model; Markov switching; MS-DSGE-chave; Modelo DSGE; Markov Switching; MS-DSGE
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