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.
|Date of creation:||2013|
|Date of revision:|
|Contact details of provider:|| Postal: |
Phone: (816) 881-2254
Web page: http://www.kansascityfed.org/
More information through EDIRC
|Order Information:|| Email: |
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.:
- 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.
- Raffaella Giacomini & Halbert White, 2003.
"Tests of Conditional Predictive Ability,"
- Raffaella Giacomini & Halbert White, 2003. "Tests of conditional predictive ability," Boston College Working Papers in Economics 572, Boston College Department of Economics.
- 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.
- 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.).
- William Brock & Steven Durlauf & Kenneth 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.
- 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.).
- 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.
- 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.
- 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.
- 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," NBER Working Papers 7750, National Bureau of Economic Research, Inc.
- Marcelle Chauvet & Simon Potter, 2001.
"Forecasting recessions using the yield curve,"
134, Federal Reserve Bank of New York.
- Elliott, Graham & Lieli, Robert P., 2013. "Predicting binary outcomes," Journal of Econometrics, Elsevier, vol. 174(1), pages 15-26.
- 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.
- 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.
- Tom Doan, . "RATS programs to replicate Dueker(2005) JBES dynamic probit model," Statistical Software Components RTZ00049, Boston College Department of Economics.
- David Hendry & Michael P. Clements, 2001.
"Pooling of Forecasts,"
2002-W9, Economics Group, Nuffield College, University of Oxford.
- Marco Aiolfi & Carlos Capistrán & Allan Timmermann, 2010.
2010-04, Banco de México.
- repec:ecl:ucdeco:09-18 is not listed on IDEAS
- James Morley & Jeremy Piger, 2012. "The Asymmetric Business Cycle," The Review of Economics and Statistics, MIT Press, vol. 94(1), pages 208-221, February.
When requesting a correction, please mention this item's handle: RePEc:fip:fedkrw:rwp13-05. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Lu Dayrit)
If references are entirely missing, you can add them using this form.