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New administrative data on welfare dynamics in Germany: the Sample of Integrated Welfare Benefit Biographies (SIG)

Author

Listed:
  • Bruckmeier, Kerstin

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

  • Dummert, Sandra

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

  • Grunau, Philipp

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

  • Hohmeyer, Katrin

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

  • Lietzmann, Torsten

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

Abstract

"The Sample of Integrated Welfare Benefit Biographies (SIG) is a new administrative longitudinal microdata set representative of recipients of Germany’s main welfare programme, the Unemployment Benefit II (UB II, Arbeitslosengeld II). The data set contains detailed longitudinal information on welfare receipt and labour market activities, and hence enables researchers to analyse the dynamics of benefit receipt, income and employment. A distinct feature of the SIG is that it provides information not only for individual benefit recipients but also for family members, including children and partners. This is possible because eligibility for UB II benefits depends on the household structure, and it is means-tested on household income. In addition to socio-demographic and regional information, the SIG contains extensive information on the employment biographies of benefit recipients and their household members from the Integrated Employment Biographies (IEB) of the Institute for Employment Research (IAB). This allows researchers to examine the interaction between labour market participation and benefit receipt. The SIG is available to researchers at the Research Data Centre (FDZ) of the Federal Employment Agency (BA) at the IAB." (Author's abstract, IAB-Doku) ((en))

Suggested Citation

  • 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.
    • Handle: RePEc:iab:iabjlr:v:54:p:art.14
    DOI: 10.1186/s12651-020-00280-y
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    References listed on IDEAS

    as
    1. Thomsen, Ulrich & Ludsteck, Johannes & Schmucker, Alexandra, 2018. "Skilled or unskilled - Improving the information on qualification for employee data in the IAB Employee Biography," FDZ Methodenreport 201809_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    2. Manudeep Bhuller & Christian N. Brinch & Sebastian Königs, 2017. "Time Aggregation and State Dependence in Welfare Receipt," Economic Journal, Royal Economic Society, vol. 127(604), pages 1833-1873, September.
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    4. Torsten Lietzmann, 2017. "The Contribution of Mothers’ Employment on Their Family's Chances of Ending Welfare Benefit Receipt in Germany. Analysis of a Two-Stage Process," Sociological Research Online, , vol. 22(2), pages 142-162, May.
    5. 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.
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    Cited by:

    1. Julia Schmidtke, 2023. "Linking information on unemployment benefit sanctions from different datasets about welfare receipt: proceedings and research potential," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 57(1), pages 1-19, December.
    2. Katharina Dengler & Katrin Hohmeyer & Cordula Zabel, 2021. "Welfare recipients’ transition into employment and employment stability in Germany," LABOUR, CEIS, vol. 35(4), pages 450-484, December.

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    More about this item

    Keywords

    Bundesrepublik Deutschland ; Stichprobe der Integrierten Grundsicherungsbiografien (SIG) ; IAB-Open-Access-Publikation ; Bedarfsgemeinschaft ; Datengewinnung ; Datenzugang ; Grundsicherung nach SGB II ; Integrierte Erwerbsbiografien ; prozessproduzierte Daten ; Arbeitslosengeld II-Empfänger ; Zu- und Abgänge ; 2007-2017;
    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
    • H55 - Public Economics - - National Government Expenditures and Related Policies - - - Social Security and Public Pensions
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs

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