SSOAR Logo
    • Deutsch
    • English
  • English 
    • Deutsch
    • English
  • Login
SSOAR ▼
  • Home
  • About SSOAR
  • Guidelines
  • Publishing in SSOAR
  • Cooperating with SSOAR
    • Cooperation models
    • Delivery routes and formats
    • Projects
  • Cooperation partners
    • Information about cooperation partners
  • Information
    • Possibilities of taking the Green Road
    • Grant of Licences
    • Download additional information
  • Operational concept
Browse and search Add new document OAI-PMH interface
JavaScript is disabled for your browser. Some features of this site may not work without it.

Download PDF
Download full text

(579.5Kb)

Citation Suggestion

Please use the following Persistent Identifier (PID) to cite this document:
https://nbn-resolving.org/urn:nbn:de:0168-ssoar-372915

Exports for your reference manager

Bibtex export
Endnote export

Display Statistics
Share
  • Share via E-Mail E-Mail
  • Share via Facebook Facebook
  • Share via Bluesky Bluesky
  • Share via Reddit reddit
  • Share via Linkedin LinkedIn
  • Share via XING XING

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

Statistisches Matching von Deutschem Alterssurvey und Versicherungskontenstichprobe als Quelle zur Analyse von Lebensläufen und Alterseinkommen
[journal article]

Simonson, Julia
Romeu Gordo, Laura
Kelle, Nadiya

Abstract

"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. Statistica... view more

"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)... view less

Keywords
Federal Republic of Germany; statistics; matching; elderly; income; life career; SOEP; pension insurance; cohort analysis; employment; unemployment; invalidity; retirement pension; gender; regional factors; old federal states; New Federal States; comparative research

Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Gerontology

Method
empirical; quantitative empirical; basic research; development of methods

Document language
English

Publication Year
2012

Page/Pages
p. 185-210

Journal
Historical Social Research, 37 (2012) 2

DOI
https://doi.org/10.12759/hsr.37.2012.2.185-210

ISSN
0172-6404

Status
Published Version; peer reviewed

Licence
Creative Commons - Attribution 4.0


GESIS LogoDFG LogoOpen Access Logo
Home  |  Legal notices  |  Operational concept  |  Privacy policy
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.
 

 


GESIS LogoDFG LogoOpen Access Logo
Home  |  Legal notices  |  Operational concept  |  Privacy policy
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.
 

 

This website uses cookies. The data policy provides further information, including your rights for opt-out.