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Identifying couples in administrative data

Author

Listed:
  • Goldschmidt, Deborah

    (Boston University)

  • Klosterhuber, Wolfram

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

  • Schmieder, Johannes F.

    (Boston University ; IZA ; NBER)

Abstract

"We develop a new method for identifying married couples in administrative data. Using address and name data from the universe of employment records in Germany we find around 3.3?Mio. pairs of individuals who are living at the same location, have a matching last name and are less than 15 years apart in age. We show supporting evidence that around 89 to 94% of these pairs are indeed married couples and provide careful consistency checks. Using information from the German Microcensus, we show that our method identifies about 17% of all married couples in Germany and about 35% of couples where both spouses are in social security covered jobs or unemployed. In ongoing work this couple identifier will be made available to the research community and users for the IAB administrative data. Our method thus opens the door for household level analyses benefiting from the precision and very large number of observations available in administrative data." (Author's abstract, © Springer-Verlag) ((en))

Suggested Citation

  • Goldschmidt, Deborah & Klosterhuber, Wolfram & Schmieder, Johannes F., 2017. "Identifying couples in administrative data," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 50(1), pages 29-43.
    • Handle: RePEc:iab:iabjlr:v:50:i:1:p:029-043
    DOI: 10.1007/s12651-017-0218-4
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    Cited by:

    1. Nassal, Lea & Paul, Marie, 2021. "Couples, Careers, and Spatial Mobility," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242370, Verein für Socialpolitik / German Economic Association.
    2. Hannah Illing & Johannes Schmieder & Simon Trenkle, 2024. "The Gender Gap in Earnings Losses After Job Displacement," Journal of the European Economic Association, European Economic Association, vol. 22(5), pages 2108-2147.
    3. Matthew Gudgeon & Simon Trenkle, 2024. "The Speed of Earnings Responses to Taxation and the Role of Firm Labor Demand," Journal of Labor Economics, University of Chicago Press, vol. 42(3), pages 793-835.
    4. Cuccaro-Alamin, Stephanie & Eastman, Andrea Lane & Foust, Regan & McCroskey, Jacquelyn & Nghiem, Huy Tran & Putnam-Hornstein, Emily, 2021. "Strategies for constructing household and family units with linked administrative records," Children and Youth Services Review, Elsevier, vol. 120(C).
    5. Ostermann, Kerstin & Eppelsheimer, Johann & Gläser, Nina & Haller, Peter & Oertel, Martina, 2022. "Geodata in labor market research: trends, potentials and perspectives," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 56, pages 1-5.
    6. repec:iab:iabfme:202103(en is not listed on IDEAS
    7. Seema Jayachandran & Lea Nassal & Matthew J. Notowidigdo & Marie Paul & Heather Sarsons & Elin Sundberg, 2024. "Moving to Opportunity, Together," NBER Working Papers 32970, National Bureau of Economic Research, Inc.
      • Seema Jayachandran & Lea Nassal & Matthew Notowidigdo & Marie Paul & Heather Sarsons, 2024. "Moving to Opportunity, Together," Working Papers 326, Princeton University, Department of Economics, Center for Economic Policy Studies..

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    Keywords

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    JEL classification:

    • J12 - Labor and Demographic Economics - - Demographic Economics - - - Marriage; Marital Dissolution; Family Structure

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