Pareto Models, Top Incomes and Recent Trends in UK Income Inequality
结合税收数据（覆盖高收入群体）和家庭调查数据，通过拟合帕累托模型估计英国收入不平等水平与趋势，发现1996/7至2007/8年间个人总收入基尼系数上升约7%或8%，而仅用调查数据则下降约5%。
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%.