Statistical Matching of Administrative and Survey Data: An Application to Wealth Inequality Analysis

Aufsätze referiert extern - Web of Science

Anika Rasner, Joachim R. Frick, Markus M. Grabka

In: Sociological Methods & Research 42 (2013), 2, S. 192-224

Abstract

Using population representative survey data fromthe German Socio-Economic Panel (SOEP) and administrative pension records from the Statutory Pension Insurance, the authors compare four statisticalmatching 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 SSWdoubles the level of net worth and decreases inequality by almost 25 percent. Moreover, the results reveal striking differences along occupational lines.

Joachim R. Frick

Ehemals in der Infrastruktureinrichtung Sozio-oekonomisches Panel

Markus M. Grabka

Direktorium SOEP und kommissarische Bereichsleitung Wissenstransfer in der Infrastruktureinrichtung Sozio-oekonomisches Panel