Stephen Jenkins

Testing the significance of income distribution changes over the 1980s business cycle: a cross-national comparison

Publisher: Wiley

Date: 05-1999

DOI: 10.1002/(SICI)1099-1255(199905/06)14:3<253::AID-JAE519>3.0.CO;2-R

Survey Under‐Coverage of Top Incomes and Estimation of Inequality: What is the Role of the UK's SPI Adjustment?

Publisher: Wiley

Date: 02-02-2018

DOI: 10.1111/1475-5890.12158

Estimating trends in US income inequality using the Current Population Survey: the importance of controlling for censoring

Publisher: Springer Science and Business Media LLC

Date: 27-04-2010

DOI: 10.1007/S10888-010-9131-6

Measuring Inequality Using Censored Data: A Multiple-Imputation Approach to Estimation and Inference

Publisher: Oxford University Press (OUP)

Date: 14-09-2010

DOI: 10.1111/J.1467-985X.2010.00655.X

Abstract: To measure income inequality with right-censored (top-coded) data, we propose multiple-imputation methods for estimation and inference. Censored observations are multiply imputed using draws from a flexible parametric model fitted to the censored distribution, yielding a partially synthetic data set from which point and variance estimates can be derived using complete-data methods and appropriate combination formulae. The methods are illustrated using US Current Population Survey data and the generalized beta of the second kind distribution as the imputation model. With Current Population Survey internal data, we find few statistically significant differences in income inequality for pairs of years between 1995 and 2004. We also show that using Current Population Survey public use data with cell mean imputations may lead to incorrect inferences. Multiply-imputed public use data provide an intermediate solution.

USING THE P90/P10 INDEX TO MEASURE U.S. INEQUALITY TRENDS WITH CURRENT POPULATION SURVEY DATA: A VIEW FROM INSIDE THE CENSUS BUREAU VAULTS

Publisher: Wiley

Date: 16-02-2009

DOI: 10.1111/J.1475-4991.2008.00305.X

Top incomes and inequality in the UK: reconciling estimates from household survey and tax return data

Publisher: Oxford University Press (OUP)

Date: 09-2017

DOI: 10.1093/OEP/GPX041

The London School Of Economics And Political Science

Location: United Kingdom of Great Britain and Northern Ireland

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Discovery Projects - Grant ID: DP150102409

Start Date: 2015

End Date: 12-2017

Amount: $353,515.00

Funder: Australian Research Council