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

Ann-Christin Bächmann, Corinna Frodermann, Benjamin Lochner, Michael Oberfichtner and Simon Trenkle
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Ann-Christin Bächmann: Institute for Employment Research (IAB), Nuremberg, Germany ; LIfBi
Corinna Frodermann: Institute for Employment Research (IAB), Nuremberg, Germany
Simon Trenkle: Institute for Employment Research (IAB), Nuremberg, Germany ; IZA

No 202103 (en), FDZ-Methodenreport from Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany]

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))

Keywords: Bundesrepublik Deutschland; Datengewinnung; Ehepaare; Familienstand; Integrierte Erwerbsbiografien; amtliche Statistik; sozialer Status; Statistik; statistische Methode; Wohnort; 2001-2014 (search for similar items in EconPapers)
Pages: 24 pages
Date: 2021-06-21
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Citations: View citations in EconPapers (1)

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https://doi.org/10.5164/IAB.FDZM.2103.en.v1

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Persistent link: https://EconPapers.repec.org/RePEc:iab:iabfme:202103(en)

DOI: 10.5164/IAB.FDZM.2103.en.v1

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