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"Identifying Couples in Administrative Data" for the years 2001–2014

Author

Listed:
  • Bächmann, Ann-Christin

    (LIfBi)

  • Frodermann, Corinna

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

  • Lochner, Benjamin

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

  • Oberfichtner, Michael

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

  • Trenkle, Simon

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

Abstract

"We apply the couple identification developed by Goldschmidt et al. (2017, Journal for Labour Market Research) to German administrative data from the years 2001 through 2014. The identification builds upon married couples sharing their surname and living at the same address. The resulting dataset includes around 42 million couple-year observations from mixed-sex couples with an absolute age-difference of less than 15 years. These observations stem from around 8 million different couples. The longitudinal dimension of the couple identifier broadens the range of potential application in comparison to the original cross-sectional identifier." (Author's abstract, IAB-Doku) ((en))

Suggested Citation

  • Bächmann, Ann-Christin & Frodermann, Corinna & Lochner, Benjamin & Oberfichtner, Michael & Trenkle, Simon, 2021. ""Identifying Couples in Administrative Data" for the years 2001–2014," FDZ-Methodenreport 202103 (en), Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    • Handle: RePEc:iab:iabfme:202103(en)
    DOI: 10.5164/IAB.FDZM.2103.en.v1
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    Cited by:

    1. Hannah Illing & Johannes Schmieder & Simon Trenkle, "undated". "The Gender Gap in Earnings Losses After Job Displacement," CRC TR 224 Discussion Paper Series crctr224_2022_381, University of Bonn and University of Mannheim, Germany.

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