IDEAS home Printed from https://ideas.repec.org/a/spr/soinre/v128y2016i2d10.1007_s11205-015-1050-2.html
   My bibliography  Save this article

Who cares? A Counterfactual Analysis of Household Work Intensity in Households with Disabled Family Members

Author

Listed:
  • Annemie Nys

    (University of Antwerp)

  • Leen Meeusen

    (University of Antwerp)

  • Vincent Corluy

    (University of Antwerp)

Abstract

Disability policy has been dominated by two views, namely the medical and the social model. Employment policies stemming from these two models differ substantially. Yet, both models share an exclusive focus on the disabled individual and his labour market integration. Recent developments in labour market studies show that a household perspective offers new insights in the relationship between employment outcomes and social inequality. In this paper we argue that the dominant focus on individual employment of the current models falls short in depicting the full picture. We apply the notion of household work intensity and apply a polarization index to examine the distribution of employment over households with disabled family members, using EU-SILC data for 2005–2009. We find that the success of disability-related employment policies depend to a large extent on which unit of interest, i.e., the disabled individual or the household, is taken into account. More jobless households exist than would be expected in the case employment was randomly distributed. This reveals that the low employment rates of disabled household members only partially explain the low household work intensity. Shared socio-demographic traits have a mixed effect in explaining the excess joblessness. A more complex framework is therefore needed to account for household level mechanisms that influence household work intensity in families with disabled members.

Suggested Citation

  • Annemie Nys & Leen Meeusen & Vincent Corluy, 2016. "Who cares? A Counterfactual Analysis of Household Work Intensity in Households with Disabled Family Members," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(2), pages 675-691, September.
  • Handle: RePEc:spr:soinre:v:128:y:2016:i:2:d:10.1007_s11205-015-1050-2
    DOI: 10.1007/s11205-015-1050-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11205-015-1050-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11205-015-1050-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Gannon, Brenda, 2004. "Disability and Labour Force Participation in Ireland 1995-2000," Papers HRBWP11, Economic and Social Research Institute (ESRI).
    2. Chong Huang & Hongbin Li & Pak Wai Liu & Junsen Zhang, 2009. "Why Does Spousal Education Matter for Earnings? Assortative Mating and Cross-Productivity," Journal of Labor Economics, University of Chicago Press, vol. 27(4), pages 633-652, October.
    3. Paul Gregg & Jonathan Wadsworth, 2008. "Two sides to every story: measuring polarization and inequality in the distribution of work," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(4), pages 857-875, October.
    4. Christine Schwartz & Robert Mare, 2005. "Trends in educational assortative marriage from 1940 to 2003," Demography, Springer;Population Association of America (PAA), vol. 42(4), pages 621-646, November.
    5. Richard Breen & Signe Andersen, 2012. "Educational Assortative Mating and Income Inequality in Denmark," Demography, Springer;Population Association of America (PAA), vol. 49(3), pages 867-887, August.
    6. Lasse Eika & Magne Mogstad & Basit Zafar, 2019. "Educational Assortative Mating and Household Income Inequality," Journal of Political Economy, University of Chicago Press, vol. 127(6), pages 2795-2835.
    7. Paul Gregg & Rosanna Scutella & Jonathan Wadsworth, 2010. "Reconciling workless measures at the individual and household level. Theory and evidence from the United States, Britain, Germany, Spain and Australia," Journal of Population Economics, Springer;European Society for Population Economics, vol. 23(1), pages 139-167, January.
    8. Brenda Gannon & Brian Nolan, 2004. "Disability and Labour Force Participation in Ireland," The Economic and Social Review, Economic and Social Studies, vol. 35(2), pages 135-155.
    9. Marloes Graaf-zijl & Brian Nolan, 2011. "GINI DP 5: Household Joblessness and its Impacts on Poverty and Deprivation in Europe," GINI Discussion Papers 5, AIAS, Amsterdam Institute for Advanced Labour Studies.
    10. David H. Autor & Lawrence F. Katz & Melissa S. Kearney, 2006. "The Polarization of the U.S. Labor Market," American Economic Review, American Economic Association, vol. 96(2), pages 189-194, May.
    11. Leen Meeusen & Annemie Nys, 2013. "Do labor force evolutions affect the work incapacity caseload?," Working Papers 1303, Herman Deleeck Centre for Social Policy, University of Antwerp.
    12. Dana Glei & Sara S. McLanahan & Irwin Garfinkel, 2002. "Assortative mating among unmarried parents: Implications for ability to pay child support," Journal of Population Economics, Springer;European Society for Population Economics, vol. 15(3), pages 417-432.
    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. Julie Vinck & Wim Van Lancker, 2020. "An Intersectional Approach towards Parental Employment in Families with a Child with a Disability: The Case of Belgium," Work, Employment & Society, British Sociological Association, vol. 34(2), pages 228-261, April.

    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. Jeroen Horemans, 2016. "Polarisation of Non-standard Employment in Europe: Exploring a Missing Piece of the Inequality Puzzle," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 125(1), pages 171-189, January.
    2. repec:hdl:wpaper:1402 is not listed on IDEAS
    3. Barban, Nicola & De Cao, Elisabetta & Oreffice, Sonia & Quintana-Domeque, Climent, 2021. "The effect of education on spousal education: A genetic approach," Labour Economics, Elsevier, vol. 71(C).
    4. Diederik Boertien & Iñaki Permanyer, 2017. "Educational assortative mating as a determinant of changing household income inequality: A 22-country study," LIS Working papers 719, LIS Cross-National Data Center in Luxembourg.
    5. Andrea Brandolini & Eliana Viviano, 2016. "Behind and beyond the (head count) employment rate," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(3), pages 657-681, June.
    6. Keith A. Bender & Colin P. Green & John S. Heywood, 2021. "Performance pay and assortative matching," Scottish Journal of Political Economy, Scottish Economic Society, vol. 68(4), pages 485-493, September.
    7. Pilar Gonalons-Pons & Christine R. Schwartz, 2017. "Trends in Economic Homogamy: Changes in Assortative Mating or the Division of Labor in Marriage?," Demography, Springer;Population Association of America (PAA), vol. 54(3), pages 985-1005, June.
    8. Nie, Haifeng & Xing, Chunbing, 2019. "Education expansion, assortative marriage, and income inequality in China," China Economic Review, Elsevier, vol. 55(C), pages 37-51.
    9. Nicolas Frémeaux & Arnaud Lefranc, 2020. "Assortative Mating and Earnings Inequality in France," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(4), pages 757-783, December.
    10. John Cullinan & Brenda Gannon & Eamon O’Shea, 2013. "The welfare implications of disability for older people in Ireland," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(2), pages 171-183, April.
    11. Häner-Müller, Melanie & Salvi, Michele & Schaltegger, Christoph A., 2024. "Marry into new or old money? The distributional impact of marital decisions from an intergenerational perspective," Journal of Economic Behavior & Organization, Elsevier, vol. 224(C), pages 672-687.
    12. Estéfano rubio, 2016. "El diálogo de dos desafíos: evolución y relación de la desigualdad y la escolaridad en Chile," Puntos de Referencia DPP-15, Centro de Estudios Públicos.
    13. Sander Wagner & Diederik Boertien & Mette Gørtz, 2020. "The Wealth of Parents: Trends Over Time in Assortative Mating Based on Parental Wealth," Demography, Springer;Population Association of America (PAA), vol. 57(5), pages 1809-1831, October.
    14. Hoehn-Velasco, Lauren & Penglase, Jacob, 2023. "Changes in assortative matching and educational inequality: evidence from marriage and birth records in Mexico," Journal of Demographic Economics, Cambridge University Press, vol. 89(4), pages 587-607, December.
    15. Cai, Lixin & Mavromaras, Kostas & Oguzoglu, Umut, 2008. "The Effects of Health and Health Shocks on Hours Worked," IZA Discussion Papers 3496, Institute of Labor Economics (IZA).
    16. Luca Maria Pesando, 2022. "A Four-Country Study on the Relationship Between Parental Educational Homogamy and Children’s Health from Infancy to Adolescence," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 41(1), pages 251-284, February.
    17. Paweenawat, Sasiwimon Warunsiri & Liao, Lusi, 2023. "Educational assortative mating and income inequality in Thailand," Journal of Demographic Economics, Cambridge University Press, vol. 89(2), pages 283-298, June.
    18. Nicola Barban & Elisabetta De Cao & Sonia Oreffice & Climent Quintana-Domeque, 2016. "Assortative Mating on Education: A Genetic Assessment," Working Papers 2016-034, Human Capital and Economic Opportunity Working Group.
    19. Ingvild Almås & Andreas Kotsadam & Espen R. Moen & Knut Røed, 2023. "The Economics of Hypergamy," Journal of Human Resources, University of Wisconsin Press, vol. 58(1), pages 260-281.
    20. Handy, Christopher, 2014. "Assortative Mating and Intergenerational Persistence of Schooling and Earnings," MPRA Paper 63829, University Library of Munich, Germany.
    21. Ricky Kanabar, 2024. "Assortative mating and wealth inequality in Great Britain: evidence from the baby boomer and Gen X cohorts," CEPEO Working Paper Series 24-07, UCL Centre for Education Policy and Equalising Opportunities, revised Nov 2024.

    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:spr:soinre:v:128:y:2016:i:2:d:10.1007_s11205-015-1050-2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.