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Linking information on unemployment benefit sanctions from different datasets about welfare receipt: proceedings and research potential

Author

Listed:
  • Schmidtke, Julia

    (Institute for Employment Research (IAB), Nuremberg, Germany)

Abstract

"Most studies on benefit sanctions within the German welfare system rely on established datasets about welfare receipt. This paper analyzes how using a dataset from the operational system of the German Federal Employment Agency for processing welfare claims can contribute to further research on benefit sanctions. For this purpose, I use a random sample of welfare recipients with at least one sanction between 2016 and 2018. First, this allows the detailed analysis of time lags between different steps in the sanction process. Second, linking this dataset with established datasets allows the identification of imposed sanctions for which sanction periods could not be (fully) implemented. This is largely explained by individuals leaving the welfare system between sanction events and sanction periods, e.g., by taking up employment. Third, the paper shows differences in benefit cuts across subgroups. This opens up paths for future research." (Author's abstract, IAB-Doku, © Springer-Verlag) ((en))

Suggested Citation

  • Schmidtke, Julia, 2023. "Linking information on unemployment benefit sanctions from different datasets about welfare receipt: proceedings and research potential," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 57, pages 1-20.
    • Handle: RePEc:iab:iabjlr:v:57:p:art.20
    DOI: 10.1186/s12651-023-00347-6
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    Keywords

    Bundesrepublik Deutschland ; IAB-Open-Access-Publikation ; Bundesagentur für Arbeit ; Datengewinnung ; Dauer ; IAB-Leistungsempfängerhistorik ; Datenfusion ; Integrierte Erwerbsbiografien ; Leistungskürzung ; Sanktion ; Arbeitslosengeld II ; Arbeitslosengeld II-Empfänger ; Arbeitsmarktforschung ; Wirkungsforschung ; 2016-2018;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs
    • J65 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment Insurance; Severance Pay; Plant Closings
    • J68 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Public Policy

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