Statistical Matching of Administrative and Survey Data

Abstract

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in AbstractUsing 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.

Wealth Inequality: A Survey

“…Incorporating a longitudinal element in the manner of the UK's Wealth and Assets Survey (Department of Work and Pensions, 2014; Office for National Statistics, 2014) or extracting data from more general panel studies such as the British Household Panel Survey or the Panel Study of Income Dynamics (Banks et al, 2002;Hills et al, 2013) can be useful in ensuring that some types of asset-holding are more thoroughly and consistently covered. In some cases statistical matching is carried out to complement survey information with information from administrative records (Rasner et al, 2014).…”

İstatistiksel Eşleme Metodolojisi ve Sağlıkta Kullanımı İle İlgili Ampirik Bir Değerlendirme

“…Bu durumlarda, istatistiksel eşleme, bir veri kümesinden ikinci kaynaktan gerekli bilgileri içeren kayıtları bağlar. Bağlantılı bilgiler aynı kişilerden değil, her iki veri setinde de aynı (veya neredeyse aynı) arka plan özniteliklerine sahip gözlemlerden gelir (13). Mikro veri analizleri genellikle tek bir kaynaktan elde edilemeyen ancak bir dizi kaynaktan elde edilebilen birimlerden veri gerektirir.…”

Comparative analysis of different techniques to impute expenditures into an income data set

“…Cullinan (2010) links a spatial microsimulation model with locational data using statistical matching. In the wider inequality literature, Borra et al (2013) link time use and income data, while Rasner et al (2013) and Kum and Masterson (2010) look at wealth analysis.…”