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Lagged Duration Dependence in Mixed Proportional Hazard Models

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  • Picchio, Matteo

    (Marche Polytechnic University)

Abstract

We study the non-parametric identification of a mixed proportional hazard model with lagged duration dependence when data provide multiple outcomes per individual or stratum. We show that the information conveyed by the within strata variation can be exploited to non-parametrically identify lagged duration dependence in more general models than in the literature.

Suggested Citation

  • Picchio, Matteo, 2011. "Lagged Duration Dependence in Mixed Proportional Hazard Models," IZA Discussion Papers 6089, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp6089
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    References listed on IDEAS

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    1. Patrick Arni & Rafael Lalive & Jan C. Van Ours, 2013. "How Effective Are Unemployment Benefit Sanctions? Looking Beyond Unemployment Exit," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(7), pages 1153-1178, November.
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    4. 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.
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    6. Bart Cockx & Matteo Picchio, 2013. "Scarring effects of remaining unemployed for long-term unemployed school-leavers," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(4), pages 951-980, October.
    7. Jaap H. Abbring & Gerard J. Van Den Berg, 2003. "The identifiability of the mixed proportional hazards competing risks model," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 65(3), pages 701-710, August.
    8. Bart Cockx & Matteo Picchio, 2012. "Are Short-lived Jobs Stepping Stones to Long-Lasting Jobs?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(5), pages 646-675, October.
    9. Jaap H. Abbring & Gerard J. van den Berg, 2003. "The Nonparametric Identification of Treatment Effects in Duration Models," Econometrica, Econometric Society, vol. 71(5), pages 1491-1517, September.
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    11. van Ours, Jan C. & Lalive, Rafael & Arni, Patrick, 2009. "How Effective Are Unemployment Benefit Sanctions?," CEPR Discussion Papers 7541, C.E.P.R. Discussion Papers.
    12. Van den Berg, Gerard J., 2001. "Duration models: specification, identification and multiple durations," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 55, pages 3381-3460, Elsevier.
    13. Frijters, Paul, 2002. "The non-parametric identification of lagged duration dependence," Economics Letters, Elsevier, vol. 75(3), pages 289-292, May.
    14. Liliane Bonnal & Denis Fougère & Anne Sérandon, 1997. "Evaluating the Impact of French Employment Policies on Individual Labour Market Histories," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 683-713.
    15. Maarten Lindeboom & Marcel Kerkhofs, 2000. "Multistate Models For Clustered Duration Data - An Application To Workplace Effects On Individual Sickness Absenteeism," The Review of Economics and Statistics, MIT Press, vol. 82(4), pages 668-684, November.
    16. Frederiksen, Anders & Honore, Bo E. & Hu, Luojia, 2007. "Discrete time duration models with group-level heterogeneity," Journal of Econometrics, Elsevier, vol. 141(2), pages 1014-1043, December.
    17. Doiron, Denise & Gørgens, Tue, 2008. "State dependence in youth labor market experiences, and the evaluation of policy interventions," Journal of Econometrics, Elsevier, vol. 145(1-2), pages 81-97, July.
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    Cited by:

    1. Dorsett, Richard, 2014. "The effect of temporary in-work support on employment retention: Evidence from a field experiment," Labour Economics, Elsevier, vol. 31(C), pages 61-71.
    2. 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.
    3. Rune Lesner, 2015. "Does labor market history matter?," Empirical Economics, Springer, vol. 48(4), pages 1327-1364, June.
    4. Ulrich Walwei, 2014. "Times of change: what drives the growth of work arrangements in Germany? [Zeiten des Wandels: Was treibt das Wachstum atypischer Erwerbsformen in Deutschland?]," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 47(3), pages 183-204, September.

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    More about this item

    Keywords

    identification; parallel data; lagged duration dependence; mixed proportional hazard models; multiple spells;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies

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