[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/gam/jsoctx/v8y2018i1p7-d127784.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2075-4698/8/1/7/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2075-4698/8/1/7/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Irène Berthonnet, 2023. "Where Exactly Does the Sexist Bias in the Official Measurement of Monetary Poverty in Europe Come From?," Review of Radical Political Economics, Union for Radical Political Economics, vol. 55(1), pages 132-146, March.
    2. Irène Berthonnet, 2021. "Where Exactly Does the Sexist Bias in the Official Measurement of Monetary Poverty in Europe Come From?," Post-Print halshs-03176142, HAL.
    3. Andrew E. Clark & Conchita D'Ambrosio, 2018. "Economic inequality and subjective well-being across the world," WIDER Working Paper Series wp-2018-170, World Institute for Development Economic Research (UNU-WIDER).
    4. Alloush, Mohamad & Taylor, J. Edward & Gupta, Anubhab & Rojas Valdes, Ruben Irvin & Gonzalez-Estrada, Ernesto, 2017. "Economic Life in Refugee Camps," World Development, Elsevier, vol. 95(C), pages 334-347.
    5. Andrew E. Clark & Conchita D'Ambrosio, 2017. "Living conditions and well-being: Evidence from African countries," WIDER Working Paper Series wp-2017-209, World Institute for Development Economic Research (UNU-WIDER).
    6. Berenger, Valerie, 2016. "Measuring Multidimensional Poverty in Three Southeast Asian Countries using Ordinal Variables," ADBI Working Papers 618, Asian Development Bank Institute.
    7. Gaston Yalonetzky, 2014. "Conditions for the most robust multidimensional poverty comparisons using counting measures and ordinal variables," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 43(4), pages 773-807, December.
    8. Koen Decancq & Marc Fleurbaey & François Maniquet, 2019. "Multidimensional poverty measurement with individual preferences," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(1), pages 29-49, March.
    9. Nicolai Suppa, 2021. "Walls of glass. Measuring deprivation in social participation," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 19(2), pages 385-411, June.
    10. Sabina Alkire, Mauricio Apablaza, 2016. "Multidimensional Poverty in Europe 2006-2012: Illustrating a Methodology," OPHI Working Papers 74, Queen Elizabeth House, University of Oxford.
    11. Rolf Aaberge & Eugenio Peluso & Henrik Sigstad, 2015. "The dual approach for measuring. Multidimesional deprivation and poverty," Discussion Papers 820, Statistics Norway, Research Department.
    12. Pinar, Mehmet & Stengos, Thanasis & Topaloglou, Nikolas, 2020. "On the construction of a feasible range of multidimensional poverty under benchmark weight uncertainty," European Journal of Operational Research, Elsevier, vol. 281(2), pages 415-427.
    13. Grinza, Elena & Devicienti, Francesco & Rossi, Mariacristina & Vannoni, Davide, 2017. "How Entry into Parenthood Shapes Gender Role Attitudes: New Evidence from Longitudinal UK Data," IZA Discussion Papers 11088, Institute of Labor Economics (IZA).
    14. Anne-Cathérine Guio & Karel Van den Bosch, 2020. "Deprivation of Women and Men Living in a Couple: Sharing or Unequal Division?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(4), pages 958-984, December.
    15. Joachim Merz & Tim Rathjen, 2014. "Time And Income Poverty: An Interdependent Multidimensional Poverty Approach With German Time Use Diary Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(3), pages 450-479, September.
    16. Vito Peragine & Maria G. Pittau & Ernesto Savaglio & Stefano Vannucci, 2021. "On multidimensional poverty rankings of binary attributes," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 23(2), pages 248-274, April.
    17. Gallardo, Mauricio, 2022. "Measuring vulnerability to multidimensional poverty with Bayesian network classifiers," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 492-512.
    18. Aaberge, Rolf & Peluso, Eugenio & Sigstad, Henrik, 2019. "The dual approach for measuring multidimensional deprivation: Theory and empirical evidence," Journal of Public Economics, Elsevier, vol. 177(C), pages 1-1.
    19. Rolf Aaberge & Andrea Brandolini, 2014. "Multidimensional poverty and inequality," Temi di discussione (Economic working papers) 976, Bank of Italy, Economic Research and International Relations Area.
    20. Suman Seth and Gaston Yalonetzky, 2018. "Assessing Deprivation with Ordinal Variables: Depth Sensitivity and Poverty Aversion," OPHI Working Papers ophiwp123.pdf, Queen Elizabeth House, University of Oxford.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsoctx:v:8:y:2018:i:1:p:7-:d:127784. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.