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Forecasting macro variables with a Qual VAR business cycle turning point index

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Author Info
Michael J. Dueker
Katrin Wesche

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Abstract

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: 2005
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Handle: RePEc:fip:fedlwp:2001-019

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Keywords: Business cycles ; Forecasting ; Vector autoregression;

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References listed on IDEAS
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  1. Bernard, Henri J & Gerlach, Stefan, 1998. "Does the Term Structure Predict Recessions? The International Evidence," CEPR Discussion Papers 1892, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
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  2. Davis, E Philip & Fagan, Gabriel, 1997. "Are Financial Spreads Useful Indicators of Future Inflation and Output Growth in EU Countries?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(6), pages 701-14, Nov.-Dec.. [Downloadable!]
  3. Chris R. Birchenhall & Marianne Sensier & Denise R. Osborn, 2000. "Predicting Uk Business Cycle Regimes," Computing in Economics and Finance 2000 134, Society for Computational Economics. [Downloadable!]
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  4. Estrella, Arturo & Mishkin, Frederic S., 1997. "The predictive power of the term structure of interest rates in Europe and the United States: Implications for the European Central Bank," European Economic Review, Elsevier, vol. 41(7), pages 1375-1401, July. [Downloadable!] (restricted)
  5. Arturo Estrella & Anthony P. Rodrigues & Sebastian Schich, 2000. "How stable is the predictive power of the yield curve? evidence from Germany and the United States," Staff Reports 113, Federal Reserve Bank of New York. [Downloadable!]
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  6. Michael J. Dueker, 2003. "Dynamic forecasts of qualitative variables: a Qual VAR model of U.S. recessions," Working Papers 2001-012, Federal Reserve Bank of St. Louis. [Downloadable!]
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  7. Dueker, Michael, 1999. "Conditional Heteroscedasticity in Qualitative Response Models of Time Series: A Gibbs-Sampling Approach to the Bank Prime Rate," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(4), pages 466-72, October.
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  8. Filardo, Andrew J, 1994. "Business-Cycle Phases and Their Transitional Dynamics," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 299-308, July.
  9. Arturo Estrella & Frederic S. Mishkin, 1996. "Predicting U.S. recessions: financial variables as leading indicators," Research Paper 9609, Federal Reserve Bank of New York. [Downloadable!]
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