文章基本信息

标题：Measuring Inequality Using Censored Data: A Multiple Imputation Approach.
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作者：Stephen P. Jenkins ; Richard V. Burkhauser ; Shuaizhang Feng 等
期刊名称：DIW Diskussionspapiere / Deutsches Institut für Wirtschaftsforschung, Berlin
出版年度：2009
卷号：2009
出版社：Deutsches Institut für Wirtschaftsforschung, Berlin
摘要：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.
关键词：Income inequality, topcoding, partially synthetic data, CPS, current population survey, generalized beta of the second kind distribution