Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/97308 
Year of Publication: 
May-2013
Citation: 
[Journal:] Sociological Methods and Research [ISSN:] 0049-1241 [Volume:] 42 [Issue:] 2 [Publisher:] Sage Publications [Place:] Thousand Oaks, CA [Year:] 2013-05 [Pages:] 192-224
Publisher: 
Sage Publications, Thousand Oaks, CA
Abstract: 
Using population representative survey data from the German Socio-Economic Panel (SOEP) and administrative pension records from the Statutory Pension Insurance, the authors compare four statistical matching techniques to complement survey information on net worth with social security wealth (SSW) information from the administrative records. The unique properties of the linked data allow for a straight control of the quality of matches under each technique. Based on various evaluation criteria, Mahalanobis distance matching performs best. Exploiting the advantages of the newly assembled data, the authors include SSW in a wealth inequality analysis. Despite its quantitative relevance, SSW is thus far omitted from such analyses because adequate micro data are lacking. The inclusion of SSW doubles the level of net worth and decreases inequality by almost 25 percent. Moreover, the results reveal striking differences along occupational lines.
Subjects: 
Statistical Matching
Social Security Wealth
SOEP
Wealth Inequality
Persistent Identifier of the first edition: 
Additional Information: 
Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG-geförderten) Allianz- bzw. Nationallizenz frei zugänglich. - This publication is with permission of the rights owner freely accessible due to an Alliance licence and a national licence (funded by the DFG, German Research Foundation) respectively.
Document Type: 
Article
Document Version: 
Published Version

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