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Change-Points in U.S. Business Cycle Durations

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Author Info
Troy Davig (Federal Reserve Bank of Kansas City)

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Abstract

This paper develops a change-point model that can endogenously detect a structural shift in a time series of durations. The model is applied to NBER data on U.S. business cycle durations for expansions and contractions. There are two primary results. First, the change-point model endogenously detects a shift in the distribution for the phases of the U.S. business cycle around WWII. The pattern of duration dependence for both contractions and expansions correspond to earlier work, such as Diebold and Rudebusch (1990), Sichel (1991) and Zuehlke(2003), that exogenously split the sample at WWII. The second result is that the change-points for expansions and contractions generally occur earlier than WWII when controlling for various factors, such as the duration of the preceding half-cycle, wars and a trend variable. For expansions, the only significant explanatory variable is a trend, resulting in each successive expansion's hazard rate uniformly shifting down. For contractions, both a trend and the lagged duration of the preceding expansion are found, when estimated separately, to be significant. Controlling for a trend, contractions no longer exhibit positive duration dependence following the estimated change-point.

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Publisher Info
Article provided by Berkeley Electronic Press in its journal Studies in Nonlinear Dynamics & Econometrics.

Volume (Year): 11 (2007)
Issue (Month): 2 ()
Pages: 1373-1373
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Handle: RePEc:bep:sndecm:11:2007:2:1373-1373

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Related research
Keywords: duration analysis change-point models business cycle durations

References listed on IDEAS
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  1. 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, vol. 98(3), pages 596-616, June. [Downloadable!] (restricted)
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  2. Bauwens, L. & Veredas, D., 1999. "The Stochastic Conditional Duration Model: a Latent Factor Model for the Analysis of Financial Durations," Papers 9958, Universite catholique de Louvain - Center for Operations Research and Economics (CORE).
  3. Robert F. Engle & Jeffrey R. Russell, 1998. "Autoregressive Conditional Duration: A New Model for Irregularly Spaced Transaction Data," Econometrica, Econometric Society, vol. 66(5), pages 1127-1162, September.
  4. Zuehlke, Thomas W, 2003. "Business Cycle Duration Dependence Reconsidered," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(4), pages 564-69, October.
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This page was last updated on 2008-11-19.


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