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Modelling Structural Breaks In The Us, Uk And Japanese Unemployment Rates

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  • Guglielmo Maria Caporale

    ()

  • Luis A. Gil-Alana

Abstract

In this paper we use a general procedure to detect structural breaks at unknown points in time which allows for different orders of integration and deterministic components in each subsample (see Gil-Alana, 2006). First, we extend it to the non-linear case, and show by means of Monte Carlo experiments that the procedure performs well in a non-linear environment. Second, we apply it to test for breaks in the unemployment rate in the US, the UK and Japan. Our results shed some light on the empirical relevance of alternative unemployment theories for these countries. Specifically, a structuralist interpretation appears more appropriate for the US and Japan, whilst a hysteresis model accounts better for the UK experience (and also for the Japanese one in the second subsanple). We interpret these findings in terms of different labour market features.

Suggested Citation

  • Guglielmo Maria Caporale & Luis A. Gil-Alana, 2006. "Modelling Structural Breaks In The Us, Uk And Japanese Unemployment Rates," Economics and Finance Discussion Papers 06-10, Economics and Finance Section, School of Social Sciences, Brunel University.
  • Handle: RePEc:bru:bruedp:06-10
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    File URL: http://www.brunel.ac.uk/329/efwps/0610.pdf
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    References listed on IDEAS

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    1. Peter C.B. Phillips & Pierre Perron, 1986. "Testing for a Unit Root in Time Series Regression," Cowles Foundation Discussion Papers 795R, Cowles Foundation for Research in Economics, Yale University, revised Sep 1987.
    2. Luis Gil-Alana & Antonio Moreno, 2012. "Fractional integration and structural breaks in U.S. macro dynamics," Empirical Economics, Springer, vol. 43(1), pages 427-446, August.
    3. Edmund S. Phelps, 1968. "Money-Wage Dynamics and Labor-Market Equilibrium," Journal of Political Economy, University of Chicago Press, vol. 76, pages 678-678.
    4. Blanchard, Olivier & Wolfers, Justin, 2000. "The Role of Shocks and Institutions in the Rise of European Unemployment: The Aggregate Evidence," Economic Journal, Royal Economic Society, vol. 110(462), pages 1-33, March.
    5. Luis A. Gil-Alana, 2008. "Fractional integration and structural breaks at unknown periods of time," Journal of Time Series Analysis, Wiley Blackwell, vol. 29(1), pages 163-185, January.
    6. Leon-Ledesma, Miguel A, 2002. "Unemployment Hysteresis in the US States and the EU: A Panel Approach," Bulletin of Economic Research, Wiley Blackwell, vol. 54(2), pages 95-103, April.
    7. Blanchard, Olivier J. & Summers, Lawrence H., 1987. "Hysteresis in unemployment," European Economic Review, Elsevier, vol. 31(1-2), pages 288-295.
    8. Kyung-So Im & Junsoo Lee & Margie Tieslau, 2005. "Panel LM Unit-root Tests with Level Shifts," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(3), pages 393-419, June.
    9. Phillips, P C B, 1987. "Time Series Regression with a Unit Root," Econometrica, Econometric Society, vol. 55(2), pages 277-301, March.
    10. Song, Frank M. & Wu, Yangru, 1998. "Hysteresis in unemployment: Evidence from OECD countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 38(2), pages 181-192.
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    12. Tschernig, Rolf J.V. & Zimmermann, Klaus F, 1992. "Illusive Persistence in German Unemployment," CEPR Discussion Papers 739, C.E.P.R. Discussion Papers.
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    Cited by:

    1. Franchi, Massimo & Ordóñez, Javier, 2008. "Common smooth transition trend-stationarity in European unemployment," Economics Letters, Elsevier, vol. 101(2), pages 106-109, November.

    More about this item

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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