Predicting recessions with leading indicators: model averaging and selection over the business cycle
This paper evaluates the ability of several commonly followed economic indicators to predict business cycle turning points. As a baseline, forecasts from univariate models are combined by taking averages or by weighting forecasts with model-implied posterior probabilities. These combined forecasts are compared to those from a sophisticated model selection algorithm that allows for nonlinear model speci_cations. The preferred forecasting model is one that allows for nonlinear behavior across the business cycle and combines information from the yield curve with other indicators, especially at very short and very long horizons.
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- David Hendry & Michael P. Clements, 2001.
"Pooling of Forecasts,"
2002-W9, Economics Group, Nuffield College, University of Oxford.
- Raffaella Giacomini & Halbert White, 2003.
"Tests of conditional predictive ability,"
Boston College Working Papers in Economics
572, Boston College Department of Economics.
- Raffaella Giacomini & Halbert White, 2003. "Tests of Conditional Predictive Ability," Econometrics 0308001, EconWPA.
- Giacomini, Raffaella & White, Halbert, 2003. "Tests of Conditional Predictive Ability," University of California at San Diego, Economics Working Paper Series qt5jk0j5jh, Department of Economics, UC San Diego.
- repec:ecl:ucdeco:09-18 is not listed on IDEAS
- Marco Aiolfi & Carlos Capistrán & Allan Timmermann, 2010.
CREATES Research Papers
2010-21, Department of Economics and Business Economics, Aarhus University.
- 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.
- William A. Brock & Steven N. Durlauf & Kenneth D. West, 2005.
"Model uncertainty and policy evaluation: some theory and empirics,"
Federal Reserve Bank of San Francisco.
- Brock, William A. & Durlauf, Steven N. & West, Kenneth D., 2007. "Model uncertainty and policy evaluation: Some theory and empirics," Journal of Econometrics, Elsevier, vol. 136(2), pages 629-664, February.
- William A. Brock & Steven N. Durlauf & Kenneth D. West, 2004. "Model Uncertainty and Policy Evaluation: Some Theory and Empirics," NBER Working Papers 10916, National Bureau of Economic Research, Inc.
- Brock,W.A. & Durlauf,S.N. & West,K.D., 2004. "Model uncertainty and policy evaluation : some theory and empirics," Working papers 19, Wisconsin Madison - Social Systems.
- James Morley & Jeremy Piger, 2012. "The Asymmetric Business Cycle," The Review of Economics and Statistics, MIT Press, vol. 94(1), pages 208-221, February.
- Elliott, Graham & Lieli, Robert P., 2013. "Predicting binary outcomes," Journal of Econometrics, Elsevier, vol. 174(1), pages 15-26.
- Glenn D. Rudebusch & John C. Williams, 2007.
"Forecasting recessions: the puzzle of the enduring power of the yield curve,"
Working Paper Series
2007-16, Federal Reserve Bank of San Francisco.
- Rudebusch, Glenn D. & Williams, John C., 2009. "Forecasting Recessions: The Puzzle of the Enduring Power of the Yield Curve," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(4), pages 492-503.
- Gernot Doppelhofer & Ronald I. Miller & Xavier Sala-i-Martin, 2000.
"Determinants of Long-Term Growth: A Bayesian Averaging of Classical Estimates (BACE) Approach,"
NBER Working Papers
7750, National Bureau of Economic Research, Inc.
- Xavier Sala-I-Martin & Gernot Doppelhofer & Ronald I. Miller, 2004. "Determinants of Long-Term Growth: A Bayesian Averaging of Classical Estimates (BACE) Approach," American Economic Review, American Economic Association, vol. 94(4), pages 813-835, September.
- Gernot Doppelhofer & Ronald I. Miller & Xavier Sala-i-Martin, 2000. "Determinants of Long-Term Growth: A Bayesian Averaging of Classical Estimates (Bace) Approach," OECD Economics Department Working Papers 266, OECD Publishing.
- Marcelle Chauvet & Simon M. Potter, 2001.
"Forecasting recessions using the yield curve,"
134, Federal Reserve Bank of New York.
- Marcelle Chauvet & Zeynep Senyuz, 2012. "A dynamic factor model of the yield curve as a predictor of the economy," Finance and Economics Discussion Series 2012-32, Board of Governors of the Federal Reserve System (U.S.).
- Jonathan H. Wright, 2006. "The yield curve and predicting recessions," Finance and Economics Discussion Series 2006-07, Board of Governors of the Federal Reserve System (U.S.).
- Estrella, Arturo, 1998.
"A New Measure of Fit for Equations with Dichotomous Dependent Variables,"
Journal of Business & Economic Statistics,
American Statistical Association, vol. 16(2), pages 198-205, April.
- Arturo Estrella, 1997. "A new measure of fit for equations with dichotomous dependent variables," Research Paper 9716, Federal Reserve Bank of New York.
- Mark W. Watson & James H. Stock, 2004. "Combination forecasts of output growth in a seven-country data set," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(6), pages 405-430.
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