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Business Cycle Duration Dependence Reconsidered

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  • Zuehlke, Thomas W

Abstract

Sichel estimated a Weibull hazard model using the National Bureau of Economic Research business cycle chronology and found evidence of duration dependence only for prewar expansions and postwar contractions. The article updates the postwar sample through the end of the most recent expansion and uses a generalized Weibull model that provides much greater flexibility at the expense of one additional parameter. This model finds evidence of duration dependence for all samples and is statistically superior to the conventional Weibull model for all samples except postwar contractions.

Suggested Citation

  • Zuehlke, Thomas W, 2003. "Business Cycle Duration Dependence Reconsidered," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(4), pages 564-569, October.
  • Handle: RePEc:bes:jnlbes:v:21:y:2003:i:4:p:564-69
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    Citations

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    Cited by:

    1. Vitor Castro, 2015. "The Portuguese business cycle: chronology and duration dependence," Empirical Economics, Springer, vol. 49(1), pages 325-342, August.
    2. 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.
    3. Vitor Castro, 2013. "The Portuguese stock market cycle: Chronology and duration dependence," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2013(1), pages 1-23.
    4. Luca Agnello & Vítor Castro & Ricardo M. Sousa, 2012. "Are there change-points in the likelihood of a fiscal consolidation ending?," NIPE Working Papers 18/2012, NIPE - Universidade do Minho.
    5. 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.
    6. Vitor Castro & Megumi Kubota, 2013. "Duration dependence and change-points in the likelihood of credit booms ending," GEMF Working Papers 2013-17, GEMF, Faculty of Economics, University of Coimbra.
    7. Vitor Castro, 2013. "The duration of business cycle expansions and contractions: are there change-points in duration dependence?," Empirical Economics, Springer, vol. 44(2), pages 511-544, April.
    8. Vítor Castro, 2011. "The Portuguese Business Cycle: Chronology and Duration Dependence," NIPE Working Papers 11/2011, NIPE - Universidade do Minho.
    9. Rose Cunningham & Ilan Kolet, 2007. "Housing Market Cycles and Duration Dependence in the United States and Canada," Staff Working Papers 07-2, Bank of Canada.
    10. Corrado Di Guilmi & Edoardo Gaffeo & Mauro Gallegati & Antonio Palestrini, 2004. "International evidence on business cycle magnitude dependence," Papers cond-mat/0401495, arXiv.org.
    11. Agnello, Luca & Castro, Vitor & Sousa, Ricardo M., 2013. "What determines the duration of a fiscal consolidation program?," Journal of International Money and Finance, Elsevier, vol. 37(C), pages 113-134.
    12. E. Andersson & D. Bock & M. Frisen, 2006. "Some statistical aspects of methods for detection of turning points in business cycles," Journal of Applied Statistics, Taylor & Francis Journals, vol. 33(3), pages 257-278.
    13. Idrovo Aguirre, Byron, 2007. "Los Ciclos del Mercado Inmobiliario y su Relación con los Ciclos de la Economía
      [Housing Market Fluctuations and the Economic Cycles]
      ," MPRA Paper 19365, University Library of Munich, Germany, revised 24 Sep 2007.
    14. 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.
    15. du Plessis, S. A., 2004. "Stretching the South African business cycle," Economic Modelling, Elsevier, vol. 21(4), pages 685-701, July.
    16. Harman, Yvette S. & Zuehlke, Thomas W., 2007. "Nonlinear duration dependence in stock market cycles," Review of Financial Economics, Elsevier, vol. 16(4), pages 350-362.

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