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

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  • Michael J. Dueker
  • Katrin Wesche

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)

Suggested Citation

  • Michael J. Dueker & Katrin Wesche, 2005. "Forecasting macro variables with a Qual VAR business cycle turning point index," Working Papers 2001-019, Federal Reserve Bank of St. Louis.
  • Handle: RePEc:fip:fedlwp:2001-019
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    References listed on IDEAS

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    1. Bernard, Henri & Gerlach, Stefan, 1998. "Does the Term Structure Predict Recessions? The International Evidence," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 3(3), pages 195-215, July.
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    5. 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.
    6. Birchenhall, Chris R & Osborn, Denise R & Sensier, Marianne, 2001. "Predicting UK Business Cycle Regimes," Scottish Journal of Political Economy, Scottish Economic Society, vol. 48(2), pages 179-195, May.
    7. Michael Dueker, 2005. "Dynamic Forecasts of Qualitative Variables: A Qual VAR Model of U.S. Recessions," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 96-104, January.
    8. Arturo Estrella & Anthony P. Rodrigues & Sebastian Schich, 2003. "How Stable is the Predictive Power of the Yield Curve? Evidence from Germany and the United States," The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 629-644, August.
    9. 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.
    10. Eichengreen, Barry & Watson, Mark W & Grossman, Richard S, 1985. "Bank Rate Policy under the Interwar Gold Standard: A Dynamic Probit Model," Economic Journal, Royal Economic Society, vol. 95(379), pages 725-745, September.
    11. 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 701-714, Nov.-Dec..
    12. 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 466-472, October.
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    Cited by:

    1. Annette Meinusch & Peter Tillmann, 2014. "The Macroeconomic Impact of Unconventional Monetary Policy Shocks," MAGKS Papers on Economics 201426, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    2. Rangan Gupta & Hardik A. Marfatia, 2017. "A Note on the Impact of Unconventional Monetary Policy Shocks in the US on Emerging Market REITs: A Qual VAR Approach," Working Papers 201736, University of Pretoria, Department of Economics.
    3. Rachidi Kotchoni & Dalibor Stevanovic, 2013. "Probability and Severity of Recessions," CIRANO Working Papers 2013s-43, CIRANO.
    4. Gupta, Rangan & Wohar, Mark, 2017. "Forecasting oil and stock returns with a Qual VAR using over 150years off data," Energy Economics, Elsevier, vol. 62(C), pages 181-186.
    5. repec:eee:jbfina:v:86:y:2018:i:c:p:1-20 is not listed on IDEAS
    6. Meinusch, Annette & Tillmann, Peter, 2016. "The macroeconomic impact of unconventional monetary policy shocks," Journal of Macroeconomics, Elsevier, vol. 47(PA), pages 58-67.
    7. Rachidi Kotchoni & Dalibor Stevanovic, 2016. "Forecasting U.S. Recessions and Economic Activity," EconomiX Working Papers 2016-40, University of Paris Nanterre, EconomiX.
    8. Adrian Pagan & Don Harding, 2011. "Econometric Analysis and Prediction of Recurrent Events," NCER Working Paper Series 75, National Centre for Econometric Research.
    9. Peter Tillmann, 2014. "Unconventional Monetary Policy Shocks and the Spillovers to Emerging Markets," Working Papers 182014, Hong Kong Institute for Monetary Research.
    10. Tillmann, Peter, 2016. "Unconventional monetary policy and the spillovers to emerging markets," Journal of International Money and Finance, Elsevier, vol. 66(C), pages 136-156.
    11. Tillmann, Peter & Meinusch, Annette, 2014. "The Macroeconomic Impact of Unconventional Monetary Policy Shocks," Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100331, Verein für Socialpolitik / German Economic Association.

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    Keywords

    Business cycles ; Forecasting ; Vector autoregression;

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