Identifying couples in administrative data” for the years 2001–2014

Baechmann AC, Frodermann C, Lochner B, Oberfichtner M, Trenkle S (2021)

Publication Language: English

Publication Type: Other publication type

Publication year: 2021

Series: FDZ-Methodenreport

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 iden-
tification 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 broad-
ens the range of potential application in comparison to the original cross-sectional identi-
fier.

Authors with CRIS profile

Michael Oberfichtner Professur für betriebliche Arbeitsmarkt- und Berufsforschung

Involved external institutions

Institut für Arbeitsmarkt- und Berufsforschung (IAB) der Bundesagentur für Arbeit (BA) DE Germany (DE) Leibniz-Institut für Bildungsverläufe e.V. (LIfBi) DE Germany (DE)

How to cite

APA:

Baechmann, A.-C., Frodermann, C., Lochner, B., Oberfichtner, M., & Trenkle, S. (2021). Identifying couples in administrative data” for the years 2001–2014.

MLA:

Baechmann, Ann-Christin, et al. Identifying couples in administrative data” for the years 2001–2014. 2021.

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