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Duration dependence in US business cycles: An analysis using the modulated power law process

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  • Haigang Zhou
  • Steven Rigdon

Abstract

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Suggested Citation

  • Haigang Zhou & Steven Rigdon, 2008. "Duration dependence in US business cycles: An analysis using the modulated power law process," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 32(1), pages 25-34, January.
  • Handle: RePEc:spr:jecfin:v:32:y:2008:i:1:p:25-34
    DOI: 10.1007/s12197-007-9005-3
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    References listed on IDEAS

    as
    1. Susanto Basu & Alan M. Taylor, 1999. "Business Cycles in International Historical Perspective," Journal of Economic Perspectives, American Economic Association, vol. 13(2), pages 45-68, Spring.
    2. McCulloch, J Hutson, 1975. "The Monte Carlo Cycle in Business Activity," Economic Inquiry, Western Economic Association International, vol. 13(3), pages 303-321, September.
    3. Savin, N Eugene, 1977. "A Test of the Monte Carlo Hypothesis: Comment," Economic Inquiry, Western Economic Association International, vol. 15(4), pages 613-617, October.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. 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.
    2. Alicja Jokiel-Rokita & Ryszard Magiera, 2023. "Bayesian estimation versus maximum likelihood estimation in the Weibull-power law process," Computational Statistics, Springer, vol. 38(2), pages 675-710, June.

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    More about this item

    Keywords

    Weibull process; Renewal process; Maximum likelihood estimation; Modulated power law process; E3; C1;
    All these keywords.

    JEL classification:

    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

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