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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. 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.
  2. Bart Cockx & Matteo Picchio, 2009. "Are Short-Lived Jobs Stepping Stones to Long-Lasting Jobs?," CESifo Working Paper Series 2569, CESifo Group Munich.
  3. Van den Berg, Gerard J., 2000. "Duration Models: Specification, Identification, and Multiple Durations," MPRA Paper 9446, University Library of Munich, Germany.
  4. Anders Frederiksen & Bo E. Honoré & Luojia Hu, 2006. "Discrete Time Duration Models with Group-level Heterogeneity," Discussion Papers 05-008, Stanford Institute for Economic Policy Research.
  5. 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.
  6. 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.
  7. Cockx, B. & Picchio, M., 2011. "Scarring Effects of Remaining Unemployed for Long-Term Unemployed School-Leavers," Discussion Paper 2011-094, Tilburg University, Center for Economic Research.
  8. 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.
  9. repec:dgr:kubcen:2011094 is not listed on IDEAS
  10. 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).
  11. 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.
  12. Ridder, Geert & Tunali, Insan, 1999. "Stratified partial likelihood estimation," Journal of Econometrics, Elsevier, vol. 92(2), pages 193-232, October.
  13. Frijters, Paul, 2002. "The non-parametric identification of lagged duration dependence," Economics Letters, Elsevier, vol. 75(3), pages 289-292, May.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
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