Levels and Long-Term Trends in Earnings Inequality
指出美国当前人口调查（CPS）因数据截断问题导致早期工资不平等被低估、增长被高估，通过广义贝塔分布模型修正后重新计算基尼系数，并与以往研究比较。
AbstractOver its history, the March Current Population Survey (CPS) has increasingly captured the upper tail of the distribution of all sources of income. This, together with time-consistency problems in top coding, means that users of both the public-use and restricted-access CPS will understate the level of wage earnings and income inequality in earlier years and overstate their growth over time. We address this problem by modeling the personal earnings of full-time, full-year workers using the generalized beta distribution of the second kind, calculating Gini coefficients from the estimated parameters, and comparing them with past findings.KEY WORDS: Current population surveyGini valuesInequality measurementTime consistency