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Forecasting macro variables with a Qual VAR business cycle turning point index Author info | Abstract | Publisher info | Download info | Related research | Statistics Michael J. Dueker
Katrin Wesche
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One criticism of VAR forecasting is that macroeconomic variables tend not to behave as linear functions of their own past around business cycle turning points. This article investigates the methods and efficacy of forecasting with a VAR that expands the information set to include dynamic forecasts of a qualititative variable - business cycle turning points. We apply this Qual VAR model to five of the G7 economies and find that the Qual VAR improves on forecasts from standard models, both for the qualitative variable and for macroeconomic data, such as industrial production. The improvement in the forecasts of the qualitative variable, relative to the standard probit model, is especially pronounced in recessionary periods. ; (earlier title: Forecasting output with information from business cycle turning points: a qualitative variable VAR)
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Paper provided by Federal Reserve Bank of St. Louis in its series Working Papers with number
2001-019.
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Date of creation: 2005Date of revision:
Handle: RePEc:fip:fedlwp:2001-019Contact details of provider: Postal: P.O. Box 442, St. Louis, MO 63166 Fax: (314)444-8753 Web page: http://www.stlouisfed.org/ More information through EDIRC
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Keywords: Business cycles ; Forecasting ; Vector autoregression ; Other versions of this item:
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.: Bernard, Henri J & Gerlach, Stefan, 1998.
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Arturo Estrella & Frederic S. Mishkin, 1999.
"Predicting U.S. Recessions: Financial Variables as Leading Indicators ,"
NBER Working Papers
5379, National Bureau of Economic Research, Inc.
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The Review of Economics and Statistics ,
MIT Press, vol. 80(1), pages 45-61, February.
[Downloadable!] (restricted)
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