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The Portuguese Business Cycle: Chronology and Duration Dependence

  • Vítor Castro

    ()

    (Universidade de Coimbra and NIPE)

This paper tries to identify, for the first time, a chronology for the Portuguese business cycle and test for the presence of duration dependence in the respective phases of expansion and contraction. A duration dependent Markov-switching vector autoregressive model is employed in that task. This model is estimated over monthly and year-on-year (monthly) growth rates of a set of relevant economic indicators, namely, industrial production, a composite leading indicator and, additionally, civilian employment. The estimated specifications allow us to identify four main periods of contraction during the last three decades and the presence of positive duration dependence in contactions, but not in expansions.

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File URL: http://www3.eeg.uminho.pt/economia/nipe/docs/2011/NIPE_WP_11_2011.pdf
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Paper provided by NIPE - Universidade do Minho in its series NIPE Working Papers with number 11/2011.

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Date of creation: 2011
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Handle: RePEc:nip:nipewp:11/2011
Contact details of provider: Postal: Núcleo de Investigação em Políticas Económicas, Escola de Economia e Gestão, Universidade do Minho, P-4710-057 Braga, Portugal
Phone: +351-253604510 ext 5532
Fax: +351-253601380
Web page: http://www3.eeg.uminho.pt/economia/nipe/versao_inglesa/index_uk.htm
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  1. Beate Schirwitz, 2009. "A comprehensive German business cycle chronology," Empirical Economics, Springer, vol. 37(2), pages 287-301, October.
  2. Hans-Martin Krolzig, 2001. "Markov-Switching Procedures for Dating the Euro-Zone Business Cycle," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 70(3), pages 339-351.
  3. Alexander Perruchoud, 2008. "Analyzing the Swiss Business Cycle," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 54(4), pages 255-292.
  4. Sichel, Daniel E, 1991. "Business Cycle Duration Dependence: A Parametric Approach," The Review of Economics and Statistics, MIT Press, vol. 73(2), pages 254-60, May.
  5. Castro, Vítor, 2010. "The duration of economic expansions and recessions: More than duration dependence," Journal of Macroeconomics, Elsevier, vol. 32(1), pages 347-365, March.
  6. António Afonso & Peter Claeys & Ricardo M. Sousa, 2009. "Fiscal Regime Shifts in Portugal," Working Papers Department of Economics 2009/39, ISEG - School of Economics and Management, Department of Economics, University of Lisbon.
  7. Artis, M. & Krolzig, H.-M. & Toro, J., 1999. "The European Business Cycle," Economics Working Papers eco99/24, European University Institute.
  8. Jonathan Ohn & Larry W. Taylor & Adrian Pagan, 2004. "Testing for duration dependence in economic cycles," Econometrics Journal, Royal Economic Society, vol. 7(2), pages 528-549, December.
  9. Harding, Don & Pagan, Adrian, 2002. "Dissecting the cycle: a methodological investigation," Journal of Monetary Economics, Elsevier, vol. 49(2), pages 365-381, March.
  10. Tiago Cavalcanti, 2007. "Business cycle and level accounting: the case of Portugal," Portuguese Economic Journal, Springer, vol. 6(1), pages 47-64, April.
  11. Chang-Jin Kim & Charles R. Nelson, 1999. "State-Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262112388, June.
  12. Zuehlke, Thomas W, 2003. "Business Cycle Duration Dependence Reconsidered," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(4), pages 564-69, October.
  13. Shyh-Wei Chen & Chung-Hua Shen, 2006. "Is there a duration dependence in Taiwan's business cycles?," International Economic Journal, Taylor & Francis Journals, vol. 20(1), pages 109-128.
  14. Francis X. Diebold & Glenn D. Rudebusch, 1988. "A nonparametric investigation of duration dependence in the American business cycle," Working Paper Series / Economic Activity Section 90, Board of Governors of the Federal Reserve System (U.S.).
  15. Davig Troy, 2007. "Change-Points in U.S. Business Cycle Durations," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 11(2), pages 1-23, May.
  16. Francis X. Diebold & Glenn D. Rudebusch & Daniel E. Sichel, 1991. "Further evidence on business cycle duration dependence," Working Papers 91-11, Federal Reserve Bank of Philadelphia.
  17. Layton, Allan P. & Smith, Daniel R., 2007. "Business cycle dynamics with duration dependence and leading indicators," Journal of Macroeconomics, Elsevier, vol. 29(4), pages 855-875, December.
  18. Francis X. Diebold & Glenn D. Rudebusch & Daniel E. Sichel, 1990. "International evidence on business cycle duration dependence," Discussion Paper / Institute for Empirical Macroeconomics 31, Federal Reserve Bank of Minneapolis.
  19. 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, vol. 12(3), pages 279-88, July.
  20. Nicholas Di Venuto & Allan Layton, 2005. "Do The Phases Of The Business Cycle Die Of Old Age?," Australian Economic Papers, Wiley Blackwell, vol. 44(3), pages 290-305, 09.
  21. Ari Aisen & Francisco José Veiga, 2011. "How Does Political Instability Affect Economic Growth?," IMF Working Papers 11/12, International Monetary Fund.
  22. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-84, March.
  23. Iiboshi, Hirokuni, 2007. "Duration dependence of the business cycle in Japan: A Bayesian analysis of extended Markov switching model," Japan and the World Economy, Elsevier, vol. 19(1), pages 86-111, January.
  24. Abderrezak, Ali, 1998. "On the Duration of Growth Cycles: An International Study," International Review of Economics & Finance, Elsevier, vol. 7(3), pages 343-355.
  25. Ozun, Alper & Turk, Mehmet, 2009. "A Duration-Dependent Regime Switching Model for an Open Emerging Economy," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 66-81, December.
  26. Chang-Jin Kim & Charles R. Nelson, 1998. "Business Cycle Turning Points, A New Coincident Index, And Tests Of Duration Dependence Based On A Dynamic Factor Model With Regime Switching," The Review of Economics and Statistics, MIT Press, vol. 80(2), pages 188-201, May.
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