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How Do Exit Rates from Social Assistance Benefit in Belgium Vary with Individual and Local Agency Characteristics?

In: Safety Nets and Benefit Dependence

Author

Listed:
  • Sarah Carpentier
  • Karel Neels
  • Karel Van den Bosch

Abstract

The administration of social assistance benefits is devolved to local agencies in Belgium, which raises questions about how much variation in spell lengths of benefit receipt is associated with differences across agencies. We address this issue by analysing the monthly hazard of benefit exit using administrative record data for 14,270 individuals in 574 welfare agencies. Our random-effects model allows for differences in both the observed and unobserved characteristics of beneficiaries and of local agencies. There are large differences in median benefit duration for individuals serviced by different welfare agencies: the range is from two months to more than 24 months. We find strong associations between beneficiary characteristics (sex, age, foreign nationality, citizenship acquisition, work history and being a student) and spell length. The estimates show higher odds of exiting social assistance receipt in bigger municipalities and in agencies which provide more generous supplementary assistance, and also strong evidence of shorter episodes in agencies where active labour market programme participation rates are higher.

Suggested Citation

  • Sarah Carpentier & Karel Neels & Karel Van den Bosch, 2014. "How Do Exit Rates from Social Assistance Benefit in Belgium Vary with Individual and Local Agency Characteristics?," Research in Labor Economics, in: Safety Nets and Benefit Dependence, volume 39, pages 151-187, Emerald Group Publishing Limited.
  • Handle: RePEc:eme:rleczz:s0147-912120140000039004
    DOI: 10.1108/S0147-912120140000039004
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    Citations

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    Cited by:

    1. repec:iab:iabjlr:v:54:i::p:art.14 is not listed on IDEAS
    2. Daniel Goller & Tamara Harrer & Michael Lechner & Joachim Wolff, 2021. "Active labour market policies for the long-term unemployed: New evidence from causal machine learning," Papers 2106.10141, arXiv.org, revised May 2023.
    3. Bruckmeier, Kerstin & Dummert, Sandra & Grunau, Philipp & Hohmeyer, Katrin & Lietzmann, Torsten, 2020. "New administrative data on welfare dynamics in Germany: the Sample of Integrated Welfare Benefit Biographies (SIG)," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 54(54), pages .14(1-14).
    4. Bruckmeier, Kerstin & Dummert, Sandra & Grunau, Philipp & Hohmeyer, Katrin & Lietzmann, Torsten, 2020. "New administrative data on welfare dynamics in Germany: the Sample of Integrated Welfare Benefit Biographies (SIG)," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 54, pages 1-14.
    5. Marjolijn De Wilde & Peter Goos, 2017. "The Implementation of Social Policy: A Factorial Survey Approach," Working Papers 1706, Herman Deleeck Centre for Social Policy, University of Antwerp.
    6. Stijn Oosterlynck & Yuri Kazepov, & Andreas Novy & Pieter Cools & Tatiana Sarius & Florian Wukovitsch, 2015. "Welfare systems, governance and social innovation: case study country profiles of Austria, Belgium and Italy," ImPRovE Working Papers 15/17, Herman Deleeck Centre for Social Policy, University of Antwerp.
    7. Sarah Carpentier & Karel Neels & Karel Van den Bosch, 2017. "Do First- and Second-Generation Migrants Stay Longer in Social Assistance Than Natives in Belgium?," Journal of International Migration and Integration, Springer, vol. 18(4), pages 1167-1190, November.
    8. Kerstin Bruckmeier & Sandra Dummert & Philipp Grunau & Katrin Hohmeyer & Torsten Lietzmann, 2020. "New administrative data on welfare dynamics in Germany: the Sample of Integrated Welfare Benefit Biographies (SIG)," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 54(1), pages 1-12, December.

    More about this item

    Keywords

    Social assistance duration; local welfare agencies; municipalities; welfare; duration analysis; I38; J68; R50;
    All these keywords.

    JEL classification:

    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs
    • J68 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Public Policy
    • R50 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - General

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