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Intersectionality and benefit receipt: The interplay between education, gender, age and migration background

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  • Jos Slabbekoorn
  • Ineke Maas
  • J Cok Vrooman

Abstract

This study examines differences in benefit receipt using an intersectional approach. Intersectionality theory emphasizes the importance of the interplay of multiple social dimensions. Taking this as a starting point, the paper investigates how different combinations of three demographic variables plus education buffer or amplify benefit receipt and thereby create relatively advantaged and disadvantaged groups. Administrative data were used, sourced from Dutch registers that provide accurate and detailed information on benefit receipt for the entire Dutch population, including small and hard-to-reach segments. Multilevel Analyses of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA) are performed to assess which intersectional groups are relatively advantaged or disadvantaged with respect to benefit receipt. Intersectional group differences are more pronounced for social assistance than for unemployment insurance. Complex combinations of education, gender, age and migration background are required to better understand differences in benefit receipt, especially for unemployment insurance.

Suggested Citation

  • Jos Slabbekoorn & Ineke Maas & J Cok Vrooman, 2024. "Intersectionality and benefit receipt: The interplay between education, gender, age and migration background," PLOS ONE, Public Library of Science, vol. 19(11), pages 1-24, November.
  • Handle: RePEc:plo:pone00:0311241
    DOI: 10.1371/journal.pone.0311241
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    References listed on IDEAS

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    1. Giorgio Brunello & Margherita Fort & Nicole Schneeweis & Rudolf Winter‐Ebmer, 2016. "The Causal Effect of Education on Health: What is the Role of Health Behaviors?," Health Economics, John Wiley & Sons, Ltd., vol. 25(3), pages 314-336, March.
    2. Martin Huber & Michael Lechner & Conny Wunsch, 2011. "Does leaving welfare improve health? Evidence for Germany," Health Economics, John Wiley & Sons, Ltd., vol. 20(4), pages 484-504, April.
    3. Becker, Sascha O. & Fernandes, Ana & Weichselbaumer, Doris, 2019. "Discrimination in hiring based on potential and realized fertility: Evidence from a large-scale field experiment," Labour Economics, Elsevier, vol. 59(C), pages 139-152.
    4. Anita Strockmeijer & Paul de Beer & Jaco Dagevos, 2020. "Explaining differences in unemployment benefit takeup between labour migrants and Dutch native workers," International Social Security Review, John Wiley & Sons, vol. 73(2), pages 75-99, April.
    5. Glenda Quintini & Sébastien Martin, 2006. "Starting Well or Losing their Way?: The Position of Youth in the Labour Market in OECD Countries," OECD Social, Employment and Migration Working Papers 39, OECD Publishing.
    6. Lorenzo Cappellari & Stephen P. Jenkins, 2014. "The Dynamics of Social Assistance Benefit Receipt in Britain," Research in Labor Economics, in: Safety Nets and Benefit Dependence, volume 39, pages 41-79, Emerald Group Publishing Limited.
    7. repec:sae:mrxval:v:50:y:2016:i:2:p:385-412 is not listed on IDEAS
    8. Mahmood Arai & Moa Bursell & Lena Nekby, 2016. "The Reverse Gender Gap in Ethnic Discrimination: Employer Stereotypes of Men and Women with Arabic Names," International Migration Review, Wiley Blackwell, vol. 50(2), pages 385-412, June.
    9. repec:eme:rlec11:s0147-912120140000039000 is not listed on IDEAS
    10. Evans, Clare R. & Williams, David R. & Onnela, Jukka-Pekka & Subramanian, S.V., 2018. "A multilevel approach to modeling health inequalities at the intersection of multiple social identities," Social Science & Medicine, Elsevier, vol. 203(C), pages 64-73.
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