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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. Bart Cockx & Matteo Picchio, 2011. "Scarring Effects of Remaining Unemployed for Long-Term Unemployed School-Leavers," CESifo Working Paper Series 3565, CESifo Group Munich.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. Cockx, Bart & Picchio, Matteo, 2009. "Are Short-Lived Jobs Stepping Stones to Long-Lasting Jobs?," IZA Discussion Papers 4007, Institute for the Study of Labor (IZA).
  7. 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.
  8. 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.
  9. Horny, G. & Picchio, M., 2009. "Identification of lagged duration dependence in multiple-spell competing risks models," Working papers 260, Banque de France.
  10. 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.
  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. Ridder, Geert & Tunali, Insan, 1999. "Stratified partial likelihood estimation," Journal of Econometrics, Elsevier, vol. 92(2), pages 193-232, October.
  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. Liliane Bonnal & Denis Fougère & Anne Sérandon, 1997. "Evaluating the Impact of French Employment Policies on Individual Labour Market Histories," Review of Economic Studies, Oxford University Press, vol. 64(4), pages 683-713.
  15. 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.
  16. Paul Frijters, 2000. "The Non-Parametric Identification of Lagged Duration Dependence," Tinbergen Institute Discussion Papers 00-030/3, Tinbergen Institute.
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