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Unemployment Duration and Disability: Evidence from Portugal

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  • Dario Sciulli

    ()

  • Antonio Menezes

    ()

  • José Vieira

    ()

Abstract

In this paper we use Portuguese data on individual (multiple) unemployment spells and apply semi-parametric duration models to investigate the effects of different types of disabilities on (re)employment probabilities. We find that disabled persons with muscular, skeletal, geriatric and sensorial problems experience the longest unemployment spells. Organic (blind, deaf or linguistic) disabilities also significantly reduce the probability of finding a job, while intellectual or psychological disabilities do not. We also find that having previous employment experience and vocational training raise the probability of leaving unemployment into employment. Negative duration dependence and unobserved heterogeneity are also found in the data. Policies that seek to promote job accessibility should take into account the heterogeneous nature of the effects of different disabilities on reemployment.

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Bibliographic Info

Article provided by Springer in its journal Journal of Labor Research.

Volume (Year): 33 (2012)
Issue (Month): 1 (March)
Pages: 21-48

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Handle: RePEc:spr:jlabre:v:33:y:2012:i:1:p:21-48

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Web page: http://www.springer.com/economics/journal/12122

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Related research

Keywords: Disability; Unemployment duration; Discrete time hazard models;

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References

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  1. Brenda Gannon & Brian Nolan, 2004. "Disability and Labour Force Participation in Ireland," The Economic and Social Review, Economic and Social Studies, vol. 35(2), pages 135–155.
  2. Christopher A. Pissarides & Barbara Petrongolo, 2001. "Looking into the Black Box: A Survey of the Matching Function," Journal of Economic Literature, American Economic Association, vol. 39(2), pages 390-431, June.
  3. Jaap H. Abbring & Gerard J. Van Den Berg, 2007. "The unobserved heterogeneity distribution in duration analysis," Biometrika, Biometrika Trust, vol. 94(1), pages 87-99.
  4. Giuliana Parodi & Dario Sciulli, 2008. "Disability in Italian households: income, poverty and labour market participation," Applied Economics, Taylor & Francis Journals, vol. 40(20), pages 2615-2630.
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  6. Barbara Petrongolo, 1998. "Re-employment Probabilities and Returns to Matching," CEP Discussion Papers dp0406, Centre for Economic Performance, LSE.
  7. Campolieti, Michele, 2002. "Disability and the labor force participation of older men in Canada," Labour Economics, Elsevier, vol. 9(3), pages 405-432, July.
  8. Kidd, Michael P. & Sloane, Peter J. & Ferko, Ivan, 2000. "Disability and the labour market: an analysis of British males," Journal of Health Economics, Elsevier, vol. 19(6), pages 961-981, November.
  9. Thomas Bauer & Mathias Sinning, 2006. "An Extension of the Blinder-Oaxaca Decomposition to Non-Linear Models," RWI Discussion Papers 0049, Rheinisch-Westfälisches Institut für Wirtschaftsforschung.
  10. Oaxaca, Ronald L. & Ransom, Michael R., 1994. "On discrimination and the decomposition of wage differentials," Journal of Econometrics, Elsevier, vol. 61(1), pages 5-21, March.
  11. Melkersson, Maria, 1999. "Unemployment duration and heterogenous search behavior among Swedish disabled workers," Working Paper Series 1999:5, IFAU - Institute for Evaluation of Labour Market and Education Policy.
  12. Mario Cleves & William W. Gould & Roberto G. Gutierrez & Yulia Marchenko, 2010. "An Introduction to Survival Analysis Using Stata," Stata Press books, StataCorp LP, edition 3, number saus3, March.
  13. Kiefer, Nicholas M, 1988. "Economic Duration Data and Hazard Functions," Journal of Economic Literature, American Economic Association, vol. 26(2), pages 646-79, June.
  14. Olivier Jean Blanchard & Peter Diamond, 1990. "Ranking, Unemployment Duration, and Wages," NBER Working Papers 3387, National Bureau of Economic Research, Inc.
  15. Lancaster, Tony, 1979. "Econometric Methods for the Duration of Unemployment," Econometrica, Econometric Society, vol. 47(4), pages 939-56, July.
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Cited by:
  1. Michael Kind, 2013. "A Level Playing Field – An Optimal Weighting Scheme of Dismissal Protection Characteristics," Ruhr Economic Papers 0442, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.

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