Titelaufnahme

Titel
Combining administrative and survey data to improve income measurement / Bruce D. Meyer (University of Chicago, NBER, AEI and U.S. Census Bureau), Nikolas Mittag (CERGE-EI and IZA) ; IZA Institute of Labor Economics
VerfasserMeyer, Bruce D. ; Mittag, Nikolas
KörperschaftForschungsinstitut zur Zukunft der Arbeit
ErschienenBonn, Germany : IZA Institute of Labor Economics, March 2019
Ausgabe
Elektronische Ressource
Umfang1 Online-Ressource (29 Seiten) : Diagramme
SerieDiscussion paper ; no. 12266
URNurn:nbn:de:hbz:5:2-185680 
Zugriffsbeschränkung
 Das Dokument ist öffentlich zugänglich im Rahmen des deutschen Urheberrechts.
Volltexte
Combining administrative and survey data to improve income measurement [0.47 mb]
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Zusammenfassung (Englisch)

We describe methods of combining administrative and survey data to improve the measurement of income. We begin by decomposing the total survey error in the mean of survey reports of dollars received from a government transfer program. We decompose this error into three parts, generalized coverage error (which combines coverage and unit non-response error and any error from weighting), item non-response or imputation error, and measurement error. We then discuss these three sources of error in turn and how linked administrative and survey data can assess and reduce each of these sources. We then illustrate the potential of linked data by showing how using linked administrative variables improves the measurement of income and poverty in the Current Population Survey, focusing on the substitution of administrative for survey data for three government transfer programs. Finally, we discuss how one can examine the accuracy of the underlying links used in the combined data.