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The Employment and Poverty Paradox: A Causal Puzzle and a Family Affair

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  • Thaning, Max
  • Nieuwenhuis, Rense

    (Stockholm University)

Abstract

While micro-level research shows that employed individuals are less likely to experience poverty, macro-level trends reveal disappointing poverty reduction despite substantial employment growth across European countries – constituting an employment-poverty paradox. This study addresses this paradox by examining the heterogeneous effects of employment on poverty across different family types, while rigorously accounting for selection processes and confounding through leveraging panel data, varying assumption about causal structure, simulations, and formal sensitivity analysis. We apply a multi-group Kitagawa-Blinder-Oaxaca decomposition to examine how employment prevalences and premiums contribute to poverty differences across varying family-types. Our results suggest that differences in employment prevalences contribute minimally to poverty gaps, while premium effects drive most observable effects. Part-time employment shows even weaker poverty reduction effects across all family types. Sensitivity analysis reveals vulnerability to unmeasured confounding, suggesting true causal effects may be smaller still. In sum, employment is not a panacea for poverty reduction across family types.

Suggested Citation

  • Thaning, Max & Nieuwenhuis, Rense, 2025. "The Employment and Poverty Paradox: A Causal Puzzle and a Family Affair," SocArXiv vqzde_v1, Center for Open Science.
  • Handle: RePEc:osf:socarx:vqzde_v1
    DOI: 10.31219/osf.io/vqzde_v1
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    References listed on IDEAS

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    1. van Buuren, Stef & Groothuis-Oudshoorn, Karin, 2011. "mice: Multivariate Imputation by Chained Equations in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 45(i03).
    2. 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.
    3. Sophie Moullin & Susan Harkness, 2021. "The Single Motherhood Penalty as a Gender Penalty," LIS Working papers 817, LIS Cross-National Data Center in Luxembourg.
    4. Carlos Cinelli & Chad Hazlett, 2020. "Making sense of sensitivity: extending omitted variable bias," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 82(1), pages 39-67, February.
    5. Ben Jann, 2008. "The Blinder–Oaxaca decomposition for linear regression models," Stata Journal, StataCorp LLC, vol. 8(4), pages 453-479, December.
    6. Filandri, Marianna & Struffolino, Emanuela, 2019. "Individual and household in-work poverty in Europe: understanding the role of labor market characteristics," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 21(1), pages 130-157.
    7. Rense Nieuwenhuis & Wim Lancker & Diego Collado & Bea Cantillon, 2020. "Trends in Women’s Employment and Poverty Rates in OECD Countries: A Kitagawa–Blinder–Oaxaca Decomposition," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 6(1), pages 37-61, March.
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