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The Non-Parametric Identification of Lagged Duration Dependence

Author

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  • Paul Frijters

    (Vrije Universiteit Amsterdam)

Abstract

In this paper, I consider the identification of lagged durationdependence in multiple spells without using the assumtion that there are additionalregressors orthogonal to the individual effects. The non-parametricidentification strategy is applied to the multiple non-employment spells of 2066 newentrants. The estimated lagged duration dependence function rises for the first 4months and thereafter decreases, suggesting negative effects of non-employmentfor long periods of non-employment.

Suggested Citation

  • Paul Frijters, 2000. "The Non-Parametric Identification of Lagged Duration Dependence," Tinbergen Institute Discussion Papers 00-030/3, Tinbergen Institute.
    • Handle: RePEc:tin:wpaper:20000030
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    Citations

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    Cited by:

    1. Paul Frijters & John Haisken-DeNew & Michael Shields, 2005. "Socio-Economic Status, Health Shocks, Life Satisfaction and Mortality: Evidence from an Increasing Mixed Proportional Hazard Model," CEPR Discussion Papers 496, Centre for Economic Policy Research, Research School of Economics, Australian National University.
    2. Dorsett, Richard & Lucchino, Paolo, 2018. "Young people's labour market transitions: The role of early experiences," Labour Economics, Elsevier, vol. 54(C), pages 29-46.
    3. Picchio, Matteo, 2012. "Lagged duration dependence in mixed proportional hazard models," Economics Letters, Elsevier, vol. 115(1), pages 108-110.
    4. Bo E. Honore & Aureo de Paula, 2007. "Interdependent Durations, Second Version," PIER Working Paper Archive 08-044, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 01 Nov 2008.
    5. Bonev, Petyo, 2020. "Nonparametric identification in nonseparable duration models with unobserved heterogeneity," Economics Working Paper Series 2005, University of St. Gallen, School of Economics and Political Science.
    6. Bo E. Honor & Áureo De Paula, 2010. "Interdependent Durations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(3), pages 1138-1163.
    7. Horny, Guillaume & Picchio, Matteo, 2010. "Identification of lagged duration dependence in multiple-spell competing risks models," Economics Letters, Elsevier, vol. 106(3), pages 241-243, March.
    8. Frijters, Paul, 2002. "The non-parametric identification of lagged duration dependence," Economics Letters, Elsevier, vol. 75(3), pages 289-292, May.
    9. Bo E. Honoré & Aureo de Paula, 2009. ""Interdependent Durations" Third Version," PIER Working Paper Archive 09-039, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 01 Feb 2008.

    More about this item

    JEL classification:

    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

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