A Nonlinear Model of the Business Cycle
AbstractThe usual index of leading indicators has constant weights on its components and is therefore implicitly premised on the assumption that the dynamical properties of the economy remain the same over time and across phases of the business cycle. We explore the possibility that the business cycle has phases, for example, recessions, recoveries and normal growth, each with its unique dynamics. Based on this possibility we develop a nonlinear model of the business cycle that combines a number of previous approaches. We model the state of the economy as a latent variable with a threshold autoregression structure. In addition to dependence on its own lags the latent variable is also determined by observed economic and financial variables. In turn these variables are modeled as following a nonlinear vector autoregression with regimes defined by the latent business cycle variable. A Markov Chain Monte Carlo algorithm is developed to estimate the model. Special attention is paid to specification of prior distributions given the large dimension of the model. We also investigate using the business cycle chronology of the NBER to aid in the classification of the latent variable. The two main empirical objectives of the model are to provide more accurate predictions of economic variables particularly at turning points and to describe how the dynamics differ across business cycle phases
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Econometric Society in its series Econometric Society 2004 North American Winter Meetings with number 490.
Date of creation: 11 Aug 2004
Date of revision:
Contact details of provider:
Phone: 1 212 998 3820
Fax: 1 212 995 4487
Web page: http://www.econometricsociety.org/pastmeetings.asp
More information through EDIRC
nonlinear; business cycle; Bayesian;
Other versions of this item:
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
This paper has been announced in the following NEP Reports:
- NEP-ALL-2004-12-02 (All new papers)
- NEP-ECM-2004-12-02 (Econometrics)
- NEP-ETS-2004-12-02 (Econometric Time Series)
- NEP-MAC-2004-12-02 (Macroeconomics)
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.:
- Edward E. Leamer, 2001. "The Life Cycle of US Economic Expansions," NBER Working Papers 8192, National Bureau of Economic Research, Inc.
- 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.
- 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," Staff Reports 113, Federal Reserve Bank of New York.
- Ben S. Bernanke & Jean Boivin & Piotr Eliasz, 2004.
"Measuring the Effects of Monetary Policy: A Factor-Augmented Vector Autoregressive (FAVAR) Approach,"
NBER Working Papers
10220, National Bureau of Economic Research, Inc.
- Ben Bernanke & Jean Boivin & Piotr S. Eliasz, 2005. "Measuring the Effects of Monetary Policy: A Factor-augmented Vector Autoregressive (FAVAR) Approach," The Quarterly Journal of Economics, MIT Press, vol. 120(1), pages 387-422, January.
- Ben S. Bernanke & Jean Boivin & Piotr Eliasz, 2004. "Measuring the effects of monetary policy: a factor-augmented vector autoregressive (FAVAR) approach," Finance and Economics Discussion Series 2004-03, Board of Governors of the Federal Reserve System (U.S.).
- Francis X. Diebold & Glenn D. Rudebusch, 1994.
"Measuring Business Cycles: A Modern Perspective,"
NBER Working Papers
4643, National Bureau of Economic Research, Inc.
- Mark Gertler & Cara S. Lown, 2000.
"The Information in the High Yield Bond Spread for the Business Cycle: Evidence and Some Implications,"
NBER Working Papers
7549, National Bureau of Economic Research, Inc.
- Gertler, Mark & Lown, Cara S, 1999. "The Information in the High-Yield Bond Spread for the Business Cycle: Evidence and Some Implications," Oxford Review of Economic Policy, Oxford University Press, vol. 15(3), pages 132-50, Autumn.
- Pesaran, H.M. & Potter, S.M., 1995.
"A Floor and Ceiling Model of U.S. Output,"
Cambridge Working Papers in Economics
9407, Faculty of Economics, University of Cambridge.
- Romer, Christina D., 1994.
"Remeasuring Business Cycles,"
The Journal of Economic History,
Cambridge University Press, vol. 54(03), pages 573-609, September.
- Arturo Estrella & Gikas A. Hardouvelis, 1989.
"The term structure as a predictor of real economic activity,"
8907, Federal Reserve Bank of New York.
- Estrella, Arturo & Hardouvelis, Gikas A, 1991. " The Term Structure as a Predictor of Real Economic Activity," Journal of Finance, American Finance Association, vol. 46(2), pages 555-76, June.
- Benjamin M. Friedman & Kenneth N. Kuttner, 1991.
"Why does the paper-bill spread predict real economic activity?,"
Working Paper Series, Macroeconomic Issues
91-16, Federal Reserve Bank of Chicago.
- Benjamin M. Friedman & Kenneth Kuttner, 1993. "Why Does the Paper-Bill Spread Predict Real Economic Activity?," NBER Chapters, in: Business Cycles, Indicators and Forecasting, pages 213-254 National Bureau of Economic Research, Inc.
- Benjamin M. Friedman & Kenneth N. Kuttner, 1994. "Why Does the Paper-Bill Spread Predict Real Economic Activity?," NBER Working Papers 3879, National Bureau of Economic Research, Inc.
- Potter, Simon M, 1995.
"A Nonlinear Approach to US GNP,"
Journal of Applied Econometrics,
John Wiley & Sons, Ltd., vol. 10(2), pages 109-25, April-Jun.
- Diebold, Francis X & Rudebusch, Glenn D, 1992.
"Have Postwar Economic Fluctuations Been Stabilized?,"
American Economic Review,
American Economic Association, vol. 82(4), pages 993-1005, September.
- Francis X. Diebold & Glenn D. Rudebusch, 1990. "Have postwar economic fluctuations been stabilized?," Discussion Paper / Institute for Empirical Macroeconomics 33, Federal Reserve Bank of Minneapolis.
- Francis X. Diebold & Glenn D. Rudebusch, 1991. "Have postwar economic fluctuations been stabilized?," Working Paper Series / Economic Activity Section 116, Board of Governors of the Federal Reserve System (U.S.).
- Benjamin M. Friedman & Kenneth N. Kuttner, 1994.
"Indicator Properties of the Paper-Bill Spread: Lessons from Recent Experiences,"
NBER Working Papers
4969, National Bureau of Economic Research, Inc.
- Benjamin M. Friedman & Kenneth N. Kuttner, 1998. "Indicator Properties Of The Paper-Bill Spread: Lessons From Recent Experience," The Review of Economics and Statistics, MIT Press, vol. 80(1), pages 34-44, February.
- Benjamin M. Friedman & Kenneth N. Kuttner, 1994. "Indicator properties of the paper-bill spread: lessons from recent experience," Working Paper Series, Macroeconomic Issues 94-24, Federal Reserve Bank of Chicago.
- Koop, Gary & Potter, Simon M., 1998. "Bayes factors and nonlinearity: Evidence from economic time series1," Journal of Econometrics, Elsevier, vol. 88(2), pages 251-281, November.
- Ryo Horii & Yoshiyasu Ono, 2006. "Learning, Inflation Cycles, and Depression," Discussion Papers in Economics and Business 06-14, Osaka University, Graduate School of Economics and Osaka School of International Public Policy (OSIPP).
- Ryo Horii & Yoshiyasu Ono, 2005. "Financial Crisis and Recovery: Learning-based Liquidity Preference Fluctuations," Macroeconomics 0504016, EconWPA.
- Ryo Horii & Yoshiyasu Ono, 2004. "Learning, Liquidity Preference, and Business Cycle," ISER Discussion Paper 0601, Institute of Social and Economic Research, Osaka University.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F. Baum).
If references are entirely missing, you can add them using this form.