Statistical matching of the German Aging Survey and the Sample of Active Pension Accounts as a source for analyzing life courses and old age incomes

Journal article | Zeitschriftenartikel

"The paper examines the combination of the German Aging Survey (Deutscher Alterssurvey - DEAS) with the Sample of Active Pension Accounts (Versicherungskontenstichprobe - VSKT), as an example of how survey results may be linked together with administrative data using statistical matching. Statistical matching is a technique increasingly being applied in order to combine information from different data sources where no linkage can be made between records based on any unique identifier. This might be due to confidentiality restrictions or attempts to avoid the high attrition rates connected with informed consent requirements. The aim of this matching is to provide a combined dataset that contains more information than the data sources would on their own. In their paper, the authors detail some preparatory steps for making this match, such as the definition and adjustment of matching variables. The steps they describe may well be worth challenging on the basis of the divergent characteristics of the two sets of data. The authors also outline the procedure they used to combine the data sources, based on the Mahalanobis distance vector. Finally, the authors assess the quality of the matching by comparing the individual pension amounts that they can extract from each of the two matching sources as our external criterion." (author's abstract)

Object Details

• Alternative title: Statistisches Matching von Deutschem Alterssurvey und Versicherungskontenstichprobe als Quelle zur Analyse von Lebensläufen und Alterseinkommen
• ISSN: 0172-6404
• Extent: Seite(n): 185-210
• Language: Englisch
• Notes: Status: Veröffentlichungsversion; begutachtet (peer reviewed)

References and Relationships

• Bibliographic citation: Historical Social Research, 37(2)

Classification and Topics

• Subject: Sozialwissenschaften, Soziologie ; Erhebungstechniken und Analysetechniken der Sozialwissenschaften ; Gerontologie, Alterssoziologie ; Bundesrepublik Deutschland ; Statistik ; Matching ; alter Mensch ; Einkommen ; Lebenslauf ; SOEP ; Rentenversicherung ; Kohortenanalyse ; Beschäftigung ; Arbeitslosigkeit ; Invalidität ; Pension ; Geschlecht ; regionale Faktoren ; alte Bundesländer ; neue Bundesländer ; vergleichende Forschung ; empirisch ; empirisch-quantitativ ; Grundlagenforschung ; Methodenentwicklung

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Simonson, Julia ; Romeu Gordo, Laura ; Kelle, Nadiya
• Event: Veröffentlichung
• (where): Deutschland
• (when): 2012

Further information

• DOI: https://doi.org/10.12759/hsr.37.2012.2.185-210
• URN: urn:nbn:de:0168-ssoar-372915
• Rights: GESIS - Leibniz-Institut für Sozialwissenschaften. Bibliothek Köln
• Last update: 21.06.2024, 4:26 PM CEST