Business cycle monitoring with structural changes
AbstractThis paper examines the predictive content of coincident variables for monitoring US recessions in the presence of instabilities. We propose several specifications of the probit model for classifying phases of the business cycle. We find strong evidence in favor of those that allow for the possibility that the economy has experienced recurrent breaks. The recession probabilities of these models provide a clearer classification of the business cycle into expansion and recession periods, and superior performance in the ability to correctly call recessions and avoid false recession signals. Overall, the sensitivity, specificity, and accuracy of these models are far superior, as is their ability to signal recessions in a timely fashion. The results indicate the importance of considering recurrent breaks for monitoring business cycles.
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Bibliographic InfoArticle provided by Elsevier in its journal International Journal of Forecasting.
Volume (Year): 26 (2010)
Issue (Month): 4 (October)
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Web page: http://www.elsevier.com/locate/ijforecast
Recession Instability Bayesian methods Probit model Breaks;
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- John Geweke, 1999.
"Using simulation methods for bayesian econometric models: inference, development,and communication,"
Taylor & Francis Journals, vol. 18(1), pages 1-73.
- John Geweke, 1998. "Using simulation methods for Bayesian econometric models: inference, development, and communication," Staff Report 249, Federal Reserve Bank of Minneapolis.
- Marcelle Chauvet & James D. Hamilton, 2005. "Dating Business Cycle Turning Points," NBER Working Papers 11422, National Bureau of Economic Research, Inc.
- Gabriel Perez-Quiros & Margaret M. McConnell, 2000.
"Output Fluctuations in the United States: What Has Changed since the Early 1980's?,"
American Economic Review,
American Economic Association, vol. 90(5), pages 1464-1476, December.
- Margaret McConnell & Gabriel Perez Quiros, 2000. "Output fluctuations in the United States: what has changed since the early 1980s?," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
- Margaret M. McConnell & Gabriel Perez Quiros, 1997. "Output fluctuations in the United States: what has changed since the early 1980s?," Research Paper 9735, Federal Reserve Bank of New York.
- Margaret M. McConnell & Gabriel Perez Quiros, 1998. "Output fluctuations in the United States: what has changed since the early 1980s?," Staff Reports 41, Federal Reserve Bank of New York.
- Chib, Siddhartha, 2001. "Markov chain Monte Carlo methods: computation and inference," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 57, pages 3569-3649 Elsevier.
- 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.
- Marianne Sensier & Dick van Dijk, 2004.
"Testing for Volatility Changes in U.S. Macroeconomic Time Series,"
The Review of Economics and Statistics,
MIT Press, vol. 86(3), pages 833-839, August.
- M Sensier & D van Dijk, 2003. "Testing for Volatility Changes in US Macroeconomic Time Series," Centre for Growth and Business Cycle Research Discussion Paper Series 36, Economics, The Univeristy of Manchester.
- Marcelle Chauvet & Simon Potter, 2001.
"Forecasting recessions using the yield curve,"
134, Federal Reserve Bank of New York.
- 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.
- Michael Dueker, 1998. "Conditional heteroskedasticity in qualitative response models of time series: a Gibbs sampling approach to the bank prime rate," Working Papers 1998-011, Federal Reserve Bank of St. Louis.
- Chauvet, Marcelle & Potter, Simon, 2001.
"Recent Changes in the US Business Cycle,"
University of Manchester, vol. 69(5), pages 481-508, Special I.
- Arthur F. Burns & Wesley C. Mitchell, 1946. "Measuring Business Cycles," NBER Books, National Bureau of Economic Research, Inc, number burn46-1.
- 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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