@misc{Jenkins2009Measuring,
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.},
address = {Berlin},
author = {Stephen P. Jenkins and Richard V. Burkhauser and Shuaizhang Feng and Jeff Larrimore},
copyright = {http://www.econstor.eu/dspace/Nutzungsbedingungen},
keywords = {D31; C46; C81; 330; Income inequality; topcoding; partially synthetic data; CPS; current population survey; generalized beta of the second kind distribution; Einkommensverteilung; Disparit\"{a}tsma\ss{}; Tobit-Modell; Sch\"{a}tzung; Theorie; USA},
language = {eng},
number = {866},
publisher = {Deutsches Institut f\"{u}r Wirtschaftsforschung (DIW)},
series = {Discussion papers // German Institute for Economic Research},
title = {Measuring inequality using censored data: a multiple imputation approach},
url = {http://hdl.handle.net/10419/27389},
year = {2009}
}