Measuring inequality using censored data: a multiple imputation approach

Arbeitspapier

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.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: IZA Discussion Papers ; No. 4011

Classification and Topics

• Classification: Wirtschaft ; Personal Income, Wealth, and Their Distributions ; Specific Distributions; Specific Statistics ; Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
• Subject: Income inequality ; topcoding ; partially synthetic data ; CPS ; Current Population Survey ; Generalized Beta of the Second Kind distribution ; Einkommensverteilung ; Disparitätsmaß ; Tobit-Modell ; Schätzung ; Theorie ; USA

Contributors, Location and Time

• Event: Geistige Schöpfung
• (who): Jenkins, Stephen P. ; Burkhauser, Richard V. ; Feng, Shuaizhang ; Larrimore, Jeff
• Event: Veröffentlichung
• (who): Institute for the Study of Labor (IZA)
• (where): Bonn
• (when): 2009

Further information

• Handle: http://hdl.handle.net/10419/35759
• URN: urn:nbn:de:101:1-20090304434
• Last update: 20.09.2024, 8:24 AM CEST