Pareto Models, Top Incomes and Recent Trends in UK Income Inequality
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...
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Published in | Economica (London) Vol. 84; no. 334; pp. 261 - 289 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
London
Blackwell Publishing
01.04.2017
Blackwell Publishing Ltd |
Subjects | |
Online Access | Get full text |
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Summary: | 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 (generalized 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 individual gross income rose by around 7% or 8% between 1996/7 and 2007/8, with most of the increase occurring after 2003/4. The corresponding estimate based wholly on the survey data is around −5%. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0013-0427 1468-0335 |
DOI: | 10.1111/ecca.12217 |