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ISER Working Paper Series 2009-04

Measuring inequality using censored data: a multiple imputation approach

Authors

Publication date

09 Feb 2009

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

Statistical Analysis and Income Dynamics

Notes

working paper

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Related publications

  1. Measuring inequality using censored data: a multiple imputation approach

    Stephen P. Jenkins, Richard V. Burkhauser, Shuaizhang Feng, et al.

    1. Statistical Analysis
    2. Income Dynamics
  2. Measuring inequality using censored data: a multiple imputation approach

    Stephen P. Jenkins, Richard V. Burkhauser, Shuaizhang Feng, et al.

    1. Statistical Analysis
    2. Income Dynamics

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