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  • 标题:Identifying and Forecasting the Turning Points of the Belgian Business Cycle with Regime-Switching and Logit Models
  • 本地全文:下载
  • 作者:Vincent, BODART, Konstantin, KHOLODILIN, Fati, SHADMAN-MEHTA
  • 期刊名称:Discussion Paper / Département des Sciences Économiques de l'Université Catholique de Louvain
  • 印刷版ISSN:1379-244X
  • 出版年度:2005
  • 卷号:1
  • 出版社:Université catholique de Louvain
  • 摘要:This paper seeks to elaborate econometric models that can be used to forecast the turning points of the Belgian business cycle. We begin by suggesting three reference cycle, which we hope will fill the void of an official reference chronology for Belgium. We then construct two different types of model to estimate the probabilities of recession : Markov-switching models, and Logit models. We apply each approach to a limited set of data, which are a good representation of the economy, are available early and are subject to only minor revisions. We then select the best performing model for each chronology and type of approach. The out-of-sample results show that the models provide useful indicators of business cycle turning points. They are however far from perfect forecasting tools, especially when it comes to forecasting periods of classical recession.
  • 关键词:Refrence chronologies; Markov-Switching and Logit models, forecasting business cycle turning points
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