EconStor >
Deutsches Institut für Wirtschaftsforschung (DIW), Berlin >
DIW-Diskussionspapiere >

Please use this identifier to cite or link to this item:
Title:Measuring inequality using censored data: a multiple imputation approach PDF Logo
Authors:Jenkins, Stephen P.
Burkhauser, Richard V.
Feng, Shuaizhang
Larrimore, Jeff
Issue Date:2009
Series/Report no.:Discussion papers // German Institute for Economic Research 866
Abstract:To measure income inequality with right censored (topcoded) data, we propose multiple imputation for censored observations using draws from Generalized Beta of the Second Kind distributions to provide partially synthetic datasets analyzed using complete data methods. Estimation and inference uses Reiter's (Survey Methodology 2003) formulae. Using Current Population Survey (CPS) internal data, we find few statistically significant differences in income inequality for pairs of years between 1995 and 2004. We also show that using CPS public use data with cell mean imputations may lead to incorrect inferences about inequality differences. Multiply-imputed public use data provide an intermediate solution.
Subjects:Income inequality
partially synthetic data
current population survey
generalized beta of the second kind distribution
Document Type:Working Paper
Appears in Collections:DIW-Diskussionspapiere
Publikationen von Forscherinnen und Forschern des DIW

Files in This Item:
File Description SizeFormat
595255892.PDF402.49 kBAdobe PDF
No. of Downloads: Counter Stats
Download bibliographical data as: BibTeX
Share on:

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