Please use this identifier to cite or link to this item:
Main Title: Statistical Matching of Administrative and Survey Data
Subtitle: An Application to Wealth Inequality Analysis
Author(s): Rasner, Anika
Frick, Joachim R.
Grabka, Markus Michael
Type: Article
Language Code: en
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.
Issue Date: 2013
Date Available: 8-Jan-2019
DDC Class: 390 Bräuche, Etikette, Folklore
300 Sozialwissenschaften
Subject(s): statistical matching
social security wealth
wealth inequality
Sponsor/Funder: Hans Böckler-Foundation, 2006-835-4, Erstellung und Analyse einer konsistenten Geld- und Realvermögensverteilungsrechnung für Personen und Haushalte 2002 und 2007 unter Berücksichtigung der personellen Einkommensverteilung
Journal Title: Sociological Methods & Research
Publisher: SAGE Publications
Publisher Place: Washington, DC
Volume: 42
Issue: 2
Publisher DOI: 10.1177/0049124113486622
Page Start: 192
Page End: 224
EISSN: 1552-8294
ISSN: 0049-1241
Notes: 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.
Appears in Collections:Fak. 7 Wirtschaft und Management » Publications

Files in This Item:
File Description SizeFormat 
Rasner_et_al_2013.pdf327.17 kBAdobe PDFThumbnail

Items in DepositOnce are protected by copyright, with all rights reserved, unless otherwise indicated.