Cookies?
Library Header Image
LSE Research Online LSE Library Services

Pareto models, top incomes, and recent trends in UK income inequality

Jenkins, Stephen P. ORCID: 0000-0002-8305-9774 (2017) Pareto models, top incomes, and recent trends in UK income inequality. Economica, 84 (334). pp. 261-289. ISSN 0013-0427

[img]
Preview
Text - Accepted Version
Download (1MB) | Preview

Identification Number: 10.1111/ecca.12217

Abstract

I determine UK income inequality levels and trends by combining inequality estimates from tax return data (for the ‘rich’) and household survey data (for the ‘non-rich’), taking advantage of the better coverage of top incomes in tax return data (which I demonstrate) and creating income variables in the survey data with the same definitions as in the tax data to enhance comparability. For top income recipients, I estimate inequality and mean income by fitting Pareto models to the tax data, examining specification issues in depth, notably whether to use Pareto I or Pareto II (generalised Pareto) models, and the choice of income threshold above which the Pareto models apply. The preferred specification is a Pareto II model with a threshold set at the 99th or 95th percentile (depending on year). Conclusions about aggregate UK inequality trends since the mid-1990s are robust to the way in which tax data are employed. The Gini coefficient for gross individual income rose by around 7% or 8% between 1996/97 and 2007/08, with most of the increase occurring after 2003/04. The corresponding estimate based wholly on the survey data is around –5%.

Item Type: Article
Official URL: http://onlinelibrary.wiley.com/
Additional Information: © 2016 The London School of Economics and Political Science
Divisions: Social Policy
Subjects: H Social Sciences > HB Economic Theory
JEL classification: C - Mathematical and Quantitative Methods > C4 - Econometric and Statistical Methods: Special Topics > C46 - Econometric and Statistical Methods: Specific Distributions
C - Mathematical and Quantitative Methods > C8 - Data Collection and Data Estimation Methodology; Computer Programs > C81 - Methodology for Collecting, Estimating, and Organizing Microeconomic Data
D - Microeconomics > D3 - Distribution > D31 - Personal Income, Wealth, and Their Distributions
Sets: Departments > Social Policy
Date Deposited: 09 Sep 2016 12:46
Last Modified: 20 Jul 2021 01:10
Projects: ES/L009153/1, DP150102409, ES/L009153/1
Funders: Economic and Social Research Council, Australian Research Council, Economic and Social Research Council
URI: http://eprints.lse.ac.uk/id/eprint/67667

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics