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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 million 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 percent 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 18 percent of all married couples in Germany and about 25 percent of couples where the husband is younger than 65. 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, IAB-Doku) ((en))

Suggested Citation

  • Goldschmidt, Deborah & Klosterhuber, Wolfram & Schmieder, Johannes F., 2014. "Identifying couples in administrative data," FDZ-Methodenreport 201409 (en), Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    • Handle: RePEc:iab:iabfme:201409(en)
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    File URL: https://doku.iab.de/fdz/reporte/2014/MR_09-14_EN.pdf
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    Cited by:

    1. is not listed on IDEAS
    2. 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.
    3. 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).
    4. repec:iab:iabfme:202103(en is not listed on IDEAS
    5. 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.
    6. 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..
    7. 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.
    8. 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.

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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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