Forecasting Brazilian output and its turning points in the presence of breaks: a comparison of linear and nonlinear models
DOI:
https://doi.org/10.1590/S0101-41612006000100001Keywords:
forecast, business cycle, nonlinearities, structural breaks, Markov switchingAbstract
This paper compares the forecasting performance of linear and nonlinear models under the presence of structural breaks for the Brazilian real GDP growth. The Markov switching models proposed by Hamilton (1989) and its generalized version by Lam (1990) are applied to quarterly GDP from 1975:1 to 2000:2 allowing for breaks at the Collor Plans. The probabilities of recessions are used to analyze the Brazilian business cycle. The in-sample and out-of-sample forecasting ability of growth rates of GDP of each model is compared with linear specifications and with a non-parametric rule. We find that the nonlinear models display a better forecasting performance than linear models. The specifications with the presence of structural breaks are important in obtaining a representation of the Brazilian business cycle and their inclusion improves considerably the models forecasting performance within and out-of-sample.Downloads
References
Albert, J.; Chib, S. Bayesian analysis via Gibbs sampling of autoregressive time series
subject to Markov mean and variance shifts. Journal of Business and Economic
Statistics, v. 11, p. 1-15, 1993.
Chauvet, M. The Brazilian business and growth cycle. Revista Brasileira de Economia,
v. 56, n. 1, 2002a.
Chauvet, M. Is the recession over yet?. CREFC Economic Letter, 2002-01, March 20, 2002b.
Camacho, M.; Perez-Quiros, G. This is what the US leading indicators lead. European Central Bank, Working Paper 27, 2000.
Hamilton, J. D. A new approach to the economic time analysis of nonstationary
time-series and the business cycle. Econometrica, v. 57, n. 2, p. 347-384, 1989.
Harding, D.; Pagan, A. Knowing the cycle. Journal of Monetary Economics, forthcoming
Hess, G.; Iwata, S. Measuring and comparing business-cycle features. Journal of Business and Economic Statistics, v. 15, p. 432-444, 1997.
Lam, P. S. The Hamilton model with a general autoregressive component. Journal of
Monetary Economics, v. 26, p. 409-432, 1990.
Lima, E. C. R.; Domingues, G. B. Crescimento, recessão e probabilidade de reversão
do ritmo de crescimento econômico do Brasil. Boletim Conjuntural,
Rio de Janeiro: IPEA, v. 51, p. 49-52, 2000.
McConnell, M.; Perez, G. Output fluctuations in the United States: what has
changed since the early 1980s?. American Economic Review, v. 90, n. 5, p. 464-76, 2000.
Mejia-Reyes, P. Classical business cycles in Latin America: turning points, asymmetries
and international synchronization. The University of Manchester, 1999. Mimeografado.
Monch, E.; Uhlig, H. Towards a monthly business cycle chronology for the Euro
Area. SFB 649 Discussion Paper 2005-023, 2005.
Stock, J. H.; Watson, M. W. A comparison of linear and nonlinear univariate models
for forecasting macroeconomic time series. NBER Working Paper Series 6607,
Weigand, A. S.; Gershenfeld, N. A. Time series prediction: forecasting the future and
understanding the past. Reading, Massachusetts:Addison-Wesley for the Santa
Fe Institute, 1994.
West, K. D. Asymptotic inference about predictive ability. Econometrica, v. 64, p.
-1084, 1996.
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Copyright (c) 2006 Brisne J. V. Céspedes, Marcelle Chauvet, Elcyon C. R. Lima
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Atualizado em 14/08/2025