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  • 标题:Qual Var Revisited: Good Forecast, Bad Story
  • 本地全文:下载
  • 作者:Makram El-Shagi ; Gregor Von Schweinitz
  • 期刊名称:Journal of Applied Economics
  • 印刷版ISSN:1514-0326
  • 电子版ISSN:1667-6726
  • 出版年度:2016
  • 卷号:19
  • 期号:2
  • 页码:293-321
  • DOI:10.1016/S1514-0326(16)30012-5
  • 摘要:Due to the recent financial crisis, the interest in econometric models that allow to incorporate binary variables (such as the occurrence of a crisis) experienced a huge surge. This paper evaluates the performance of the Qual VAR, originally proposed by Dueker (2005). The Qual VAR is a VAR model including a latent variable that governs the behavior of an observable binary variable. While we find that the Qual VAR performs reasonable well in forecasting (outperforming a probit benchmark), there are substantial identification problems even in a simple VAR specification. Typically, identification in economic applications is far more difficult than in our simple benchmark. Therefore, when the economic interpretation of the dynamic behavior of the latent variable and the chain of causality matter, use of the Qual VAR is inadvisable.
  • 关键词:C15 ; C35 ; E37 ; binary choice model ; Gibbs sampling ; latent variable ; MCMC ; method evaluation
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