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A Job of One’s Own. Does Women’s Labor Market Participation Influence the Economic Insecurity of Households?

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  • Lara Maestripieri

    (Institut de Govern i Polítiques Públiques (IGOP), Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain)

Abstract

Background : The article investigates the phenomenon of economic insecurity from a feminist perspective, assessing the role of women’s labour market participation in predicting the phenomenon. It draws on the work of Trifiletti (1999) to analyse women’s role in providing welfare for the entire family. Methods : Stemming from a cross-sectional analysis of European Union statistics on Income and Living Conditions (EU-SILC) 2013, logistic regression models (for women in a couple and for single women) are provided for six countries. Results : The descriptive analysis shows that economic insecurity affects single women more than single men, while couples fare better in all countries considered. Transversal factors that explain the phenomenon in logistic regressions are household type and wealth of the family, while the role of women’s labour market participation and economic dependency from partners or from a welfare system varies across countries. Conclusions : Empirical results show that countries only partially comply with the theoretical model proposed by Trifiletti (1999), which proceeded from the welfare regime debate. Italy and Spain show more difference than similarity. The results for Italy and the United Kingdom confirm those of previous investigations that indicate their similarity, while France and Spain are closer to the Mediterranean archetype. The results for the Czech Republic confirm its proximity to the breadwinner model, as Denmark epitomises the heuristic capacity of the Universalist model in Northern European countries.

Suggested Citation

  • Lara Maestripieri, 2018. "A Job of One’s Own. Does Women’s Labor Market Participation Influence the Economic Insecurity of Households?," Societies, MDPI, vol. 8(1), pages 1-32, January.
  • Handle: RePEc:gam:jsoctx:v:8:y:2018:i:1:p:7-:d:127784
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    References listed on IDEAS

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    1. Rémi BAZILLIER & Cristina BOBOC & Oana CALAVREZO, 2016. "Measuring employment vulnerability in Europe," International Labour Review, International Labour Organization, vol. 155(2), pages 265-280, June.
    2. Danièle Meulders & Síle O’Dorchai, 2011. "Revisiting poverty measures towards individualisation," Journal of Income Distribution, Ad libros publications inc., vol. 20(3-4), pages 75-102, September.
    3. Walter Bossert & Satya R. Chakravarty & Conchita D’Ambrosio, 2019. "Multidimensional Poverty and Material Deprivation with Discrete Data," Themes in Economics, in: Satya R. Chakravarty (ed.), Poverty, Social Exclusion and Stochastic Dominance, pages 191-209, Springer.
    4. Olivier Thévenon, 2013. "Drivers of Female Labour Force Participation in the OECD," OECD Social, Employment and Migration Working Papers 145, OECD Publishing.
    5. Elena Bardasi & Janet Gornick, 2008. "Working for less? Women's part-time wage penalties across countries," Feminist Economics, Taylor & Francis Journals, vol. 14(1), pages 37-72.
    6. Tonia L. Warnecke, 2008. "Women as Wives, Mothers or Workers: How Welfare Eligibility Requirements Influence Women’s Labor Force Participation – A Case Study of Spain –," Journal of Economic Issues, Taylor & Francis Journals, vol. 42(4), pages 981-1004, December.
    7. Marcella Corsi & Fabrizio Botti & Carlo D'Ippoliti, 2016. "The Gendered Nature of Poverty in the EU: Individualized versus Collective Poverty Measures," Feminist Economics, Taylor & Francis Journals, vol. 22(4), pages 82-100, October.
    8. Berger, Melissa & Schaffner, Sandra, 2016. "A note on how to realize the full potential of the EU-SILC data," Journal of Economic and Social Measurement, IOS Press, issue 4, pages 395-416.
    9. Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7), pages 476-487.
    10. Elena Bárcena-Martín & Ana I. Moro-Egido, 2013. "Gender and Poverty Risk in Europe," Feminist Economics, Taylor & Francis Journals, vol. 19(2), pages 69-99, April.
    11. Sara Cantillon & Brian Nolan, 2001. "Poverty Within Households: Measuring Gender Differences Using Nonmonetary Indicators," Feminist Economics, Taylor & Francis Journals, vol. 7(1), pages 5-23.
    12. Mario Lucchini & Jenny Assi, 2013. "Mapping Patterns of Multiple Deprivation and Well-Being using Self-Organizing Maps: An Application to Swiss Household Panel Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 112(1), pages 129-149, May.
    13. Beate Littig & Erich Griessler, 2005. "Social sustainability: a catchword between political pragmatism and social theory," International Journal of Sustainable Development, Inderscience Enterprises Ltd, vol. 8(1/2), pages 65-79.
    14. Elson, Diane, 1999. "Labor Markets as Gendered Institutions: Equality, Efficiency and Empowerment Issues," World Development, Elsevier, vol. 27(3), pages 611-627, March.
    15. Lara Maestripieri, 2017. "Does Social Innovation Reduce the Economic Marginalization of Women? Insights from the Case of Italian Solidarity Purchasing Groups," Journal of Social Entrepreneurship, Taylor & Francis Journals, vol. 8(3), pages 320-337, September.
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    Cited by:

    1. Judit Sági & Csaba Lentner, 2018. "Certain Aspects of Family Policy Incentives for Childbearing—A Hungarian Study with an International Outlook," Sustainability, MDPI, vol. 10(11), pages 1-16, October.

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