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Measuring the gender disparities in unemployment dynamics during the recession: evidence from Portugal

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  • Joana Passinhas
  • Isabel Proença

Abstract

This article researches gender differences in the incidence and persistence of unemployment during the debt crisis and recession in Portugal through estimating a dynamic random effects probit model to control for unobserved individual heterogeneity and for the ‘initial conditions’ problem. The estimation applies data from four waves of ICOR – the Survey on Income and Living Conditions between 2010 and 2013. We find strong evidence of persistence in unemployment alongside indications that men are more prone to enduring negative implications from previous periods of unemployment. Simultaneously, we find evidence of a greater likelihood of unemployment for women through a fixed effect designed to capture gender discrimination in unstable labour markets. Our results suggest that policies to boost employment should accommodate a gender dimension and also place a special emphasis on the long-term unemployed.

Suggested Citation

  • Joana Passinhas & Isabel Proença, 2020. "Measuring the gender disparities in unemployment dynamics during the recession: evidence from Portugal," Applied Economics, Taylor & Francis Journals, vol. 52(6), pages 623-636, February.
    • Handle: RePEc:taf:applec:v:52:y:2020:i:6:p:623-636
    DOI: 10.1080/00036846.2019.1659494
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    Cited by:

    1. Juan Carlos Cuestas & Luis Gil-Alana, 2024. "Unemployment Hysteresis by Sex and Education Attainment in the EU," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 801-827, March.
    2. Ana Sofia Lopes & Ana Sargento, 2023. "Regional Heterogeneity in the Individual Unemployment Vulnerability After COVID-19 Outset," International Regional Science Review, , vol. 46(5-6), pages 678-700, September.
    3. Jean Francky Landry Ngono, 2023. "Corrupting Politicians to Get Out of Unemployment: Empirical Evidence from Africa," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(2), pages 1004-1032, June.

    More about this item

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing

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