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Levels and Long-Term Trends in Earnings Inequality: Overcoming Current Population Survey Censoring Problems Using the GB2 Distribution

机译:收入不平等的水平和长期趋势:使用GB2分布克服当前的人口调查审查问题

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摘要

Over 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.
机译:在其历史上,三月当前人口调查(CPS)越来越多地占据了所有收入来源分配的最高端。这与顶级编码中的时间一致性问题一起,意味着公用和受限访问CPS的用户都将低估早些年的工资收入和收入不平等水平,并夸大其随着时间的增长。我们通过使用第二种广义beta分布对全职,全年工的个人收入进行建模,并根据估计的参数计算基尼系数,并将其与过去的发现进行比较,从而解决了这一问题。

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