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PRODID:https://www.diw.de/de/diw_01.c.806339.de/veranstaltungen.html
METHOD:PUBLISH
CALSCALE:GREGORIAN
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UID:diw_01.c.376161.de
LOCATION:Gustav-Schmoller-Raum,DIW Berlin im Quartier 110,3.3.002A,Anton-Wilhelm-Amo-Straße 58,10117 Berlin
SUMMARY:SOEP Brown Bag Seminar
DESCRIPTION: 12:30 - 13:30 // Anika Rasner  & Markus M. Grabka (SOEP)joint with  Joachim R. Frick (SOEP & TU Berlin)    Using population representative survey data from the German Socio-Economic Panel and administrative pension records from the Statutory Pension Insurance, the authors compare four statistical matching and imputation 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 has been thus far omitted from such analyses, because of the lack of adequate micro data. 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.(Presentation in German)
DTSTART;VALUE=DATE:20110713
DTEND;VALUE=DATE:20110713
DTSTAMP:20110710T220000Z
URL:https://www.diw.de/de/diw_01.c.376161.de/veranstaltungen/soep_brown_bag_seminar.html
ORGANIZER;CN=Jan Marcus:mailto:jmarcus@diw.de
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