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The Determinants of Unemployment Duration by Gender in Finland

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  • Ollikainen, Virve

Abstract

This paper models unemployment durations for men and women in Finland using a nationally representative data set from 1997. We begin with a baseline model where durations are modelled using a single risk discrete time hazard model. These estimations are extended to a piecewise constant hazard model and to a competing risks model. The results indicate that young children as well as foreign citizenship have a prolonging effect on female unemployment periods. Education appears as a highly positive factor in reducing the duration of unemployment, particularly for women. The results also reveal the implications of regional labour market policy, as the propensity to exit unemployment is greatest in rural areas, but mostly explained by exits to active labour market programmes.

Suggested Citation

  • Ollikainen, Virve, 2003. "The Determinants of Unemployment Duration by Gender in Finland," Discussion Papers 316, VATT Institute for Economic Research.
  • Handle: RePEc:fer:dpaper:316
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    File URL: https://www.doria.fi/handle/10024/148295
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    References listed on IDEAS

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    3. Altonji, Joseph G. & Blank, Rebecca M., 1999. "Race and gender in the labor market," Handbook of Labor Economics,in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 48, pages 3143-3259 Elsevier.
    4. ûivind Anti Nilsen & Alf Erling Risa & Alf Torstensen, 2000. "Transitions from employment among young Norwegian workers," Journal of Population Economics, Springer;European Society for Population Economics, vol. 13(1), pages 21-34.
    5. Narendranathan, W. & Stewart, M.B., 1989. "Modelling The Probability Of Leaving Unemployment: Competing Risks Models With Flexible Baseline Hazards," The Warwick Economics Research Paper Series (TWERPS) 331, University of Warwick, Department of Economics.
    6. Kettunen, Juha, . "Re-employment of Finnish Unemployed Workers," ETLA A, The Research Institute of the Finnish Economy, number 17.
    7. John T. Addison & Pedro Portugal, 2003. "Unemployment Duration Competing and Defective Risks," Journal of Human Resources, University of Wisconsin Press, vol. 38(1).
    8. Killingsworth, Mark R. & Heckman, James J., 1987. "Female labor supply: A survey," Handbook of Labor Economics,in: O. Ashenfelter & R. Layard (ed.), Handbook of Labor Economics, edition 1, volume 1, chapter 2, pages 103-204 Elsevier.
    9. Böheim, René & Taylor, Mark P, 2000. "Unemployment Duration and Exit States in Britain," CEPR Discussion Papers 2500, C.E.P.R. Discussion Papers.
    10. Andrew Hildreth & Stephen Millard & Dale Mortensen & Mark Taylor, 1998. "Wages, work, and unemployment," Applied Economics, Taylor & Francis Journals, vol. 30(11), pages 1531-1547.
    11. Arulampalam, Wiji & Stewart, Mark B, 1995. "The Determinants of Individual Unemployment Durations in an Era of High Unemployment," Economic Journal, Royal Economic Society, vol. 105(429), pages 321-332, March.
    12. Han, Aaron & Hausman, Jerry A, 1990. "Flexible Parametric Estimation of Duration and Competing Risk Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 5(1), pages 1-28, January-M.
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    Cited by:

    1. Danacica, Daniela Emanuela & Cirnu, Doru, 2014. "Unemployment Duration and Exit States of Disabled People in Romania," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 35-52, March.
    2. Busk, Henna, 2016. "Sanctions and the exit from unemployment in two different benefit schemes," Labour Economics, Elsevier, vol. 42(C), pages 159-176.
    3. Kyyrä, Tomi & Ollikainen, Virve, 2008. "To search or not to search? The effects of UI benefit extension for the older unemployed," Journal of Public Economics, Elsevier, vol. 92(10-11), pages 2048-2070, October.

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