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Welfare receipt misreporting in survey data and its consequences for state dependence estimates: new insights from linked administrative and survey data

Author

Listed:
  • Bruckmeier, Kerstin

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

  • Hohmeyer, Katrin

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

  • Schwarz, Stefan

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

Abstract

"In many advanced welfare states, welfare recipients often receive benefits for long periods. This persistence of welfare receipt can be caused by two distinct mechanisms: genuine or spurious state dependence. Knowledge of which of the two mechanisms drives the observed state dependence is important because the policy implications are different. Most of the empirical evidence on state dependence relies on survey data. However, survey data on welfare receipt are subject to substantial measurement error (i.e., misreporting of welfare benefit receipt), which may also bias state dependence estimates. This paper uses rich linked survey and administrative data to measure the effect of misreporting in the survey data on the estimated state dependence in welfare receipt in Germany. We find a rate of underreporting of welfare benefits of 8.6%. Recipients with relatively good labour market chances tend to underreport benefits more frequently. Overreporting benefits is less pronounced with a rate of 1.6%. Within the survey data, we observe more transitions into and out of the welfare system. However, our estimates of state dependence in welfare receipt based on a dynamic random effects model reveal that the effect of misreporting on estimated state dependence is small, even when we distinguish between working and non-working recipients in the model." (Author's abstract, © Springer-Verlag) ((en))

Suggested Citation

  • Bruckmeier, Kerstin & Hohmeyer, Katrin & Schwarz, Stefan, 2018. "Welfare receipt misreporting in survey data and its consequences for state dependence estimates: new insights from linked administrative and survey data," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 52, pages 1-016.
    • Handle: RePEc:iab:iabjlr:v:52:i::p:a016
    DOI: 10.1186/s12651-018-0250-z
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    References listed on IDEAS

    as
    1. Regina T. Riphahn & Christoph Wunder, 2016. "State dependence in welfare receipt: transitions before and after a reform," Empirical Economics, Springer, vol. 50(4), pages 1303-1329, June.
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    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
    • 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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