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Identification of lagged duration dependence in multiple-spell competing risks models

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  • Horny, G.
  • Picchio, M.

Abstract

We show that lagged duration dependence is non-parametrically identified in mixed proportional hazard models for duration data, in the presence of competing risks and consecutive spells.

Suggested Citation

  • Horny, G. & Picchio, M., 2009. "Identification of lagged duration dependence in multiple-spell competing risks models," Working papers 260, Banque de France.
  • Handle: RePEc:bfr:banfra:260
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    References listed on IDEAS

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    10. Gritz, R. Mark, 1993. "The impact of training on the frequency and duration of employment," Journal of Econometrics, Elsevier, vol. 57(1-3), pages 21-51.
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    12. Marloes de Graaf-Zijl & Gerard van den Berg & Arjan Heyma, 2011. "Stepping stones for the unemployed: the effect of temporary jobs on the duration until (regular) work," Journal of Population Economics, Springer;European Society for Population Economics, vol. 24(1), pages 107-139, January.
    13. Sokbae Lee, 2006. "Identification of a competing risks model with unknown transformations of latent failure times," Biometrika, Biometrika Trust, vol. 93(4), pages 996-1002, December.
    14. Lawrence F. Katz & Bruce D. Meyer, 1990. "Unemployment Insurance, Recall Expectations, and Unemployment Outcomes," The Quarterly Journal of Economics, Oxford University Press, vol. 105(4), pages 973-1002.
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    16. Gaure, Simen & Røed, Knut & Westlie, Lars, 2008. "The Impacts of Labor Market Policies on Job Search Behavior and Post-Unemployment Job Quality," IZA Discussion Papers 3802, Institute of Labor Economics (IZA).
    17. Chris Elbers & Geert Ridder, 1982. "True and Spurious Duration Dependence: The Identifiability of the Proportional Hazard Model," Review of Economic Studies, Oxford University Press, vol. 49(3), pages 403-409.
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    Cited by:

    1. 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.
    2. 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.
    3. Emmanuelle Lavallée & Vincent Vicard, 2013. "National borders matterwhere one draws the lines too," Canadian Journal of Economics, Canadian Economics Association, vol. 46(1), pages 135-153, February.
    4. Dorsett, Richard & Lucchino, Paolo, 2018. "Young people's labour market transitions: The role of early experiences," Labour Economics, Elsevier, vol. 54(C), pages 29-46.
    5. Guy Lacroix & Dany Brouillette, 2011. "Assessing the impact of a wage subsidy for single parents on social assistance," Canadian Journal of Economics, Canadian Economics Association, vol. 44(4), pages 1195-1221, November.
    6. Rune Lesner, 2015. "Does labor market history matter?," Empirical Economics, Springer, vol. 48(4), pages 1327-1364, June.
    7. Bart Cockx & Stijn Baert, 2015. "Contracting Out Mandatory Counselling and Training for Long-Term Unemployed. Private For-Profit or Non-Profit, or Keep it Public?," CESifo Working Paper Series 5587, CESifo.
    8. Lo, Simon M.S. & Mammen, Enno & Wilke, Ralf A., 2020. "A nested copula duration model for competing risks with multiple spells," Computational Statistics & Data Analysis, Elsevier, vol. 150(C).
    9. Dorsett, Richard & Lucchino, Paolo, 2018. "Young people's labour market transitions: The role of early experiences," Labour Economics, Elsevier, vol. 54(C), pages 29-46.
    10. Picchio, Matteo, 2012. "Lagged duration dependence in mixed proportional hazard models," Economics Letters, Elsevier, vol. 115(1), pages 108-110.
    11. Mattia Filomena, 2021. "Unemployment Scarring Effects: A Symposium On Empirical Literature," Working Papers 453, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    12. 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.

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    More about this item

    Keywords

    lagged duration dependence; competing risks; mixed proportional hazard models; identification.;
    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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