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Lagged Duration Dependence in Mixed Proportional Hazard Models

  • Matteo PICCHIO

    ()

    (Department of Economics, CentER, and ReflecT, Tilburg University and Sherppa, Department of Social Economics, Ghent University)

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

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Paper provided by Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES) in its series Discussion Papers (IRES - Institut de Recherches Economiques et Sociales) with number 2011037.

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Length: 8
Date of creation: 24 Oct 2011
Date of revision:
Handle: RePEc:ctl:louvir:2011037
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  1. Arni, Patrick & Lalive, Rafael & van Ours, Jan C, 2009. "How Effective Are Unemployment Benefit Sanctions?," CEPR Discussion Papers 7541, C.E.P.R. Discussion Papers.
  2. Paul Frijters, 2000. "The Non-Parametric Identification of Lagged Duration Dependence," Tinbergen Institute Discussion Papers 00-030/3, Tinbergen Institute.
  3. Bonnal, Liliane & Fougere, Denis & Serandon, Anne, 1997. "Evaluating the Impact of French Employment Policies on Individual Labour Market Histories," Review of Economic Studies, Wiley Blackwell, vol. 64(4), pages 683-713, October.
  4. B. Cockx & M. Picchio, 2009. "Are Short-Lived Jobs Stepping Stones to Long-Lasting Jobs?," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 09/560, Ghent University, Faculty of Economics and Business Administration.
  5. Bart Cockx & Matteo Picchio, 2011. "Scarring Effects of Remaining Unemployed for Long-Term Unemployed School-Leavers," CESifo Working Paper Series 3565, CESifo Group Munich.
  6. 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.
  7. 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, 09.
  8. 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.
  9. Arni, Patrick & Lalive, Rafael & van Ours, Jan C., 2009. "How effective are unemployment benefit sanctions? Looking beyond unemployment exit," Working Paper Series 2009:22, IFAU - Institute for Evaluation of Labour Market and Education Policy.
  10. Heckman, James J & Borjas, George J, 1980. "Does Unemployment Cause Future Unemployment? Definitions, Questions and Answers from a Continuous Time Model of Heterogeneity and State Dependence," Economica, London School of Economics and Political Science, vol. 47(187), pages 247-83, August.
  11. 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.
  12. Lindeboom, Maarten & Kerkhofs, Marcel, 1998. "Multi-state models for clustered duration data: an application to workplace effects on individual sickness absenteeism," Serie Research Memoranda 0008, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
  13. 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.
  14. Ridder, G. & Tunali, I., 1997. "Stratified Partial Likelihood Estimation," Papers 1997/17, Koc University.
  15. Melino, Angelo & Sueyoshi, Glenn T., 1990. "A simple approach to the identifiability of the proportional hazards model," Economics Letters, Elsevier, vol. 33(1), pages 63-68, May.
  16. Guillaume HORNY & Matteo PICCHIO, 2009. "Identification of Lagged Duration Dependence in Multiple Spells Competing Risks Models," Discussion Papers (IRES - Institut de Recherches Economiques et Sociales) 2009001, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
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