Some Methods for Assessing the Need for Non-linear Models in Business Cycle Analysis and Forecasting
AbstractThere is a long tradition in business cycle analysis of arguing that non-linear models are needed to explain the business cycle. In recent years many non-linear models have been fitted to data on GDP for many countries, but particularly for the U.S. In this paper we set our criteria to evaluate the success of non-linear models in explaining the cycle and then evaluate three recent models in the light of these criteria. We find that the models are capable of explaining the "shape" of expansions, something linear models cannot do, but do so at the cost of making expansions longer than they should be and in producing transition probabilities to recessions that are too low.
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Date of creation: 11 Aug 2004
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business cyles; non-linear models;
Find related papers by JEL classification:
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models &bull Diffusion Processes
- E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
This paper has been announced in the following NEP Reports:
- NEP-ALL-2004-10-30 (All new papers)
- NEP-ETS-2004-10-30 (Econometric Time Series)
- NEP-MAC-2004-10-30 (Macroeconomics)
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- Harding, Don & Pagan, Adrian, 2002.
"Dissecting the cycle: a methodological investigation,"
Journal of Monetary Economics, Elsevier,
Elsevier, vol. 49(2), pages 365-381, March.
- Don Harding & Adrian Pagan, 2000. "Disecting the Cycle: A Methodological Investigation," Econometric Society World Congress 2000 Contributed Papers, Econometric Society 1164, Econometric Society.
- Durland, J Michael & McCurdy, Thomas H, 1994.
"Duration-Dependent Transitions in a Markov Model of U.S. GNP Growth,"
Journal of Business & Economic Statistics, American Statistical Association,
American Statistical Association, vol. 12(3), pages 279-88, July.
- J. Michael Durland & Thomas H. McCurdy, 1993. "Duration Dependent Transitions in a Markov Model of U.S. GNP Growth," Working Papers, Queen's University, Department of Economics 887, Queen's University, Department of Economics.
- Martin Sola & Zacharias Psaradakis, 2002.
"On Detrending and Cyclical Asymmetry,"
Department of Economics Working Papers, Universidad Torcuato Di Tella
020, Universidad Torcuato Di Tella.
- Zacharias Psaradakis & Martin Sola, 2003. "On detrending and cyclical asymmetry," Journal of Applied Econometrics, John Wiley & Sons, Ltd., John Wiley & Sons, Ltd., vol. 18(3), pages 271-289.
- Diebold, Francis X & Rudebusch, Glenn D, 1990.
"A Nonparametric Investigation of Duration Dependence in the American Business Cycle,"
Journal of Political Economy, University of Chicago Press,
University of Chicago Press, vol. 98(3), pages 596-616, June.
- Francis X. Diebold & Glenn D. Rudebusch, 1988. "A nonparametric investigation of duration dependence in the American business cycle," Working Paper Series / Economic Activity Section, Board of Governors of the Federal Reserve System (U.S.) 90, Board of Governors of the Federal Reserve System (U.S.).
- Gerhard Bry & Charlotte Boschan, 1971. "Cyclical Analysis of Time Series: Selected Procedures and Computer Programs," NBER Books, National Bureau of Economic Research, Inc, number bry_71-1.
- Frédérick Demers & Ryan Macdonald, 2007. "The Canadian Business Cycle: A Comparison of Models," Working Papers, Bank of Canada 07-38, Bank of Canada.
- Fok, Dennis & van Dijk, Dick & Franses, Philip Hans, 2005.
"Forecasting aggregates using panels of nonlinear time series,"
International Journal of Forecasting, Elsevier,
Elsevier, vol. 21(4), pages 785-794.
- Fok, D. & van Dijk, D.J.C. & Franses, Ph.H.B.F., 2004. "Forecasting aggregates using panels of nonlinear time series," Econometric Institute Research Papers EI 2004-44, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
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