G2TT
来源类型Working Paper
规范类型报告
DOI10.3386/w19846
来源IDWorking Paper 19846
Using the Pareto Distribution to Improve Estimates of Topcoded Earnings
Philip Armour; Richard V. Burkhauser; Jeff Larrimore
发表日期2014-01-23
出版年2014
语种英语
摘要Inconsistent censoring in the public-use March CPS limits its usefulness in measuring labor earnings trends, as previous approaches for imputing topcoded earnings systematically understate top earnings. Using Pareto estimation methods with less-censored internal data, we create an enhanced cell-mean series to capture top earnings in the public-use data. Annual earnings inequality trends since 1963 using our series largely mirror those found by Kopczuk, Saez, and Song (2010) using Social Security Administration data for Commerce and Industry workers. When we extend our analysis to 2013 and consider all workers, earnings inequality levels are higher but its growth is more modest.
主题Econometrics ; Data Collection ; Microeconomics ; Market Structure and Distribution ; Labor Economics ; Labor Compensation
URLhttps://www.nber.org/papers/w19846
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/577520
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Philip Armour,Richard V. Burkhauser,Jeff Larrimore. Using the Pareto Distribution to Improve Estimates of Topcoded Earnings. 2014.
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