Forecasting macro variables with a Qual VAR business cycle turning point index
AbstractOne criticism of Vector Autoregression (VAR) forecasting is that macroeconomic variables tend not to behave as linear functions of their own past around business cycle turning points. A large amount of literature therefore focuses on nonlinear forecasting models, such as Markov switching models, which only indirectly capture the relation with turning points. This article investigates a direct approach to using information on turning points from the National Bureau of Economic Research (NBER) chronology to model and forecast macroeconomic data. Our Qual VAR model includes a truncated normal latent business cycle index that is negative during NBER recessions and positive during expansions. We motivate our forecasting exercise by demonstrating that if starting from a linear specification, a truncated normal variable is an omitted variable, then forecasts of the remaining variables will become nonlinear functions of their own past. We apply the Qual VAR model to recursive out-of-sample forecasting and find that the Qual VAR improves on out-of-sample forecasts from a standard VAR.
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Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal Applied Economics.
Volume (Year): 42 (2010)
Issue (Month): 23 ()
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Other versions of this item:
- 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.
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.:
- 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 179-95, May.
- C R Birchenhall & D R Osborn & M Sensier, 2000. "Predicting UK Business Cycle Regimes," Centre for Growth and Business Cycle Research Discussion Paper Series 02, Economics, The Univeristy of Manchester.
- 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.
- Chris Birchenhall & Marianne Sensier, 2000. "Predicting UK Business Cycle Regimes," Econometric Society World Congress 2000 Contributed Papers 0953, Econometric Society.
- Chib, Siddhartha, 1993. "Bayes regression with autoregressive errors : A Gibbs sampling approach," Journal of Econometrics, Elsevier, vol. 58(3), pages 275-294, August.
- 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.
- Tom Doan, . "RATS programs to replicate Filardo JBES 1994 paper with time-varying Markov switching," Statistical Software Components RTZ00059, Boston College Department of Economics.
- 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,"
113, Federal Reserve Bank of New York.
- 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.
- Michael Dueker, 1998.
"Conditional heteroskedasticity in qualitative response models of time series: a Gibbs sampling approach to the bank prime rate,"
1998-011, Federal Reserve Bank of St. Louis.
- 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.
- 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..
- Michael J. Dueker, 2003.
"Dynamic forecasts of qualitative variables: a Qual VAR model of U.S. recessions,"
2001-012, Federal Reserve Bank of St. Louis.
- 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.
- Henri Bernard & Stefan Gerlach, 1996.
"Does the term structure predict recessions? The international evidence,"
BIS Working Papers
37, Bank for International Settlements.
- 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.
- 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.
- 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 725-45, September.
- 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.
- Arturo Estrella & Frederic S. Mishkin, 1998. "Predicting U.S. Recessions: Financial Variables As Leading Indicators," The Review of Economics and Statistics, MIT Press, vol. 80(1), pages 45-61, February.
- Arturo Estrella & Frederic S. Mishkin, 1996. "Predicting U.S. recessions: financial variables as leading indicators," Research Paper 9609, Federal Reserve Bank of New York.
- 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.
- Adrian Pagan & Don Harding, 2011.
"Econometric Analysis and Prediction of Recurrent Events,"
CREATES Research Papers
2011-33, School of Economics and Management, University of Aarhus.
- Adrian Pagan & Don Harding, 2011. "Econometric Analysis and Prediction of Recurrent Events," NCER Working Paper Series 75, National Centre for Econometric Research.
- Rachidi Kotchoni & Dalibor Stevanovic, 2013. "Probability and Severity of Recessions," Cahiers de recherche 1341, CIRPEE.
- Makram El-Shagi & Gregor von Schweinitz, 2012. "Qual VAR Revisited: Good Forecast, Bad Story," IWH Discussion Papers 12, Halle Institute for Economic Research.
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