摘要翻译：
这篇论文是关于黄金年龄男性收入波动性的协调论文集的一部分。每篇论文使用不同的主要数据源为相同的参考人口生成一组相似的统计数据。我们的主要数据来源是人口普查局的纵向雇主-家庭动态(LEHD)基础设施档案。利用1998年至2016年的LEHD数据，我们创建了一个定义良好的人口框架，以方便准确估计与设计的纵向样本相比较的时间变化。我们表明，不包括衰退期间的增长，收益波动率在分析期内已经下降，这一发现对各种敏感性分析都是稳健的。虽然我们发现波动率在下降，但这种影响并不是均匀的，特别是对于那些波动率在增加的劳动力依附性较弱的工人来说。这些“不稳定”的工人的收入波动率大约是稳定工人的30倍，但对收入波动率趋势更重要的是，我们观察到稳定就业的份额从1998年的60%大幅增加到2016年的67%，我们表明这在很大程度上是总体收入波动率下降的原因。为了进一步强调不稳定和/或低收入工人的重要性，我们还与PSID进行了比较，并显示了在横截面收入分布的底部尾部工人的份额随着时间的变化如何导致收入波动趋势的下降或增加。
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英文标题：
《Male Earnings Volatility in LEHD before, during, and after the Great
  Recession》
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作者：
Kevin L. McKinney and John M. Abowd
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最新提交年份：
2020
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分类信息：

一级分类：Economics        经济学
二级分类：General Economics        一般经济学
分类描述：General methodological, applied, and empirical contributions to economics.
对经济学的一般方法、应用和经验贡献。
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一级分类：Quantitative Finance        数量金融学
二级分类：Economics        经济学
分类描述：q-fin.EC is an alias for econ.GN. Economics, including micro and macro economics, international economics, theory of the firm, labor economics, and other economic topics outside finance
q-fin.ec是econ.gn的别名。经济学，包括微观和宏观经济学、国际经济学、企业理论、劳动经济学和其他金融以外的经济专题
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一级分类：Statistics        统计学
二级分类：Applications        应用程序
分类描述：Biology, Education, Epidemiology, Engineering, Environmental Sciences, Medical, Physical Sciences, Quality Control, Social Sciences
生物学，教育学，流行病学，工程学，环境科学，医学，物理科学，质量控制，社会科学
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英文摘要：
  This paper is part of a coordinated collection of papers on prime-age male earnings volatility. Each paper produces a similar set of statistics for the same reference population using a different primary data source. Our primary data source is the Census Bureau's Longitudinal Employer-Household Dynamics (LEHD) infrastructure files. Using LEHD data from 1998 to 2016, we create a well-defined population frame to facilitate accurate estimation of temporal changes comparable to designed longitudinal samples of people. We show that earnings volatility, excluding increases during recessions, has declined over the analysis period, a finding robust to various sensitivity analyses. Although we find volatility is declining, the effect is not homogeneous, particularly for workers with tenuous labor force attachment for whom volatility is increasing. These "not stable" workers have earnings volatility approximately 30 times larger than stable workers, but more important for earnings volatility trends we observe a large increase in the share of stable employment from 60% in 1998 to 67% in 2016, which we show to largely be responsible for the decline in overall earnings volatility. To further emphasize the importance of not stable and/or low earning workers we also conduct comparisons with the PSID and show how changes over time in the share of workers at the bottom tail of the cross-sectional earnings distributions can produce either declining or increasing earnings volatility trends.
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PDF链接：
https://arxiv.org/pdf/2008.00253