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Lagged Duration Dependence in Mixed Proportional Hazard Models

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  • Matteo PICCHIO

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

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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
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Handle: RePEc:ctl:louvir:2011037

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Keywords: lagged duration dependence; mixed proportional hazard models; identification; multiple spells; parallel data;

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  1. Arni, Patrick & Lalive, Rafael & van Ours, Jan C., 2009. "How Effective Are Unemployment Benefit Sanctions? Looking Beyond Unemployment Exit," IZA Discussion Papers 4509, Institute for the Study of Labor (IZA).
  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. Bart COCKX & Matteo PICCHIO, 2011. "Scarring Effects of Remaining Unemployed for Long-Term Unemployed School-Leavers," Discussion Papers (IRES - Institut de Recherches Economiques et Sociales) 2011032, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
  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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
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  10. Ridder, Geert & Tunali, Insan, 1999. "Stratified partial likelihood estimation," Journal of Econometrics, Elsevier, vol. 92(2), pages 193-232, October.
  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. 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. 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.
  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. 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.
  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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