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
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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 |
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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 |
Date Deposited: | 09 Sep 2016 12:46 |
Last Modified: | 12 Dec 2024 01:22 |
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 |
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