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来源类型Working Paper
规范类型报告
DOI10.3386/w22938
来源IDWorking Paper 22938
Improving the Measurement of Earnings Dynamics
Moira Daly; Dmytro Hryshko; Iourii Manovskii
发表日期2016-12-19
出版年2016
语种英语
摘要The stochastic process for earnings is the key element of incomplete markets models in modern quantitative macroeconomics. We show that a simple modification of the canonical process used in the literature leads to a dramatic improvement in the measurement of earnings dynamics in administrative and survey data alike. Empirically, earnings at the start or end of earnings spells are lower and more volatile than the observations in the interior of earnings histories, reflecting the effects of working less than the full year as well as deviations of wages due to e.g. tenure effects. Ignoring these properties of earnings, as is standard in the literature, leads to a substantial mismeasurement of the variances of permanent and transitory shocks and induces the large and widely documented divergence in the estimates of these variances based on fitting the earnings moments in levels or growth rates. Accounting for these effects enables more accurate analysis using quantitative models with permanent and transitory earnings risk, and improves empirical estimates of consumption insurance against permanent earnings shocks.
主题Microeconomics ; Market Structure and Distribution ; Behavioral Economics ; Macroeconomics ; Consumption and Investment
URLhttps://www.nber.org/papers/w22938
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/580611
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GB/T 7714
Moira Daly,Dmytro Hryshko,Iourii Manovskii. Improving the Measurement of Earnings Dynamics. 2016.
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