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Gender differences in exit rates from unemployment: evidence from

Author

Listed:
  • Maria Teresa Gonzalo

    (University of Valencia, Dpto. Análisis Económico, Spain)

  • Jan Saarela

    (Åbo Akademi University, Finland)

Abstract

Exit rates from unemployment are analysed by distinguishing two destinations: employment and non-participation. Unlike most of the earlier empirical Finnish studies of transitions from unemployment, we allow for different behaviour of males and females. A database constructed from three register data files of the Employment Service of Vasa in 1996 is used. Results of the estimated duration models suggest that gender differences are foremost due to the closer attachment of men to the labour market, the family responsibilities affecting women, and the traditional gender structure of the Finnish labour market. Our results show that drawing conclusions when gender differences are not considered can lead to misperceptions.

Suggested Citation

  • Maria Teresa Gonzalo & Jan Saarela, 2000. "Gender differences in exit rates from unemployment: evidence from," Finnish Economic Papers, Finnish Economic Association, vol. 13(2), pages 129-139, Autumn.
    • Handle: RePEc:fep:journl:v:13:y:2000:i:2:p:129-139
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    References listed on IDEAS

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    1. Kiefer, Nicholas M, 1988. "Economic Duration Data and Hazard Functions," Journal of Economic Literature, American Economic Association, vol. 26(2), pages 646-679, June.
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    7. Lancaster, Tony, 1979. "Econometric Methods for the Duration of Unemployment," Econometrica, Econometric Society, vol. 47(4), pages 939-956, July.
    8. Warwick J. McKibbin & Adam Triggs, 2018. "Modelling the G20," CAMA Working Papers 2018-17, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
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    Citations

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    Cited by:

    1. John Adams & Malcolm Greig & Ronald W. McQuaid, 2002. "Mismatch in Local Labour Markets in Central Scotland: The Neglected Role of Demand," Urban Studies, Urban Studies Journal Limited, vol. 39(8), pages 1399-1416, July.
    2. Ollikainen, Virve, 2003. "The Determinants of Unemployment Duration by Gender in Finland," Discussion Papers 316, VATT Institute for Economic Research.
    3. Joanna Malgorzata Landmesser, 2013. "Decomposing the Gender Gap in Average Exit Rate from Unemployment," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 13, pages 163-174.
    4. Busk, Henna, 2016. "Sanctions and the exit from unemployment in two different benefit schemes," Labour Economics, Elsevier, vol. 42(C), pages 159-176.
    5. García, A., 2016. "Oaxaca-Blinder Type Counterfactual Decomposition Methods for Duration Outcomes," Documentos de Trabajo 14186, Universidad del Rosario.
    6. Wooi Chen Khoo & Kim Leng Yeah & Shun Yi Hong, 2022. "Modeling unemployment duration, determinants and insurance premium pricing of Malaysia: insights from an upper middle-income developing country," SN Business & Economics, Springer, vol. 2(8), pages 1-25, August.
    7. Begona Cueto & Javier Mato, 2006. "An analysis of self-employment subsidies with duration models," Applied Economics, Taylor & Francis Journals, vol. 38(1), pages 23-32.
    8. Saarela, Jan & Finnas, Fjalar, 2003. "Unemployment and native language: the Finnish case," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 32(1), pages 59-80, March.
    9. Danacica Daniela-Emanuela, 2023. "Unemployment Of Roma Population In Romania," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 6, pages 13-22, December.

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    More about this item

    JEL classification:

    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • J70 - Labor and Demographic Economics - - Labor Discrimination - - - General
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies

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