摘要翻译：
本文研究了不同个体之间工作位移的影响。特别是，我们的兴趣集中在工作转移的个体水平效应的分布特征上。确定这种分布的特征尤其具有挑战性--例如，即使我们可以随机分配工人是否被转移，我们考虑的许多参数也不会被点确定。我们利用我们对面板数据的访问，我们的方法依赖于将被转移工人的结果与如果他们没有被转移，如果他们在收入分配中保持与被转移前相同的等级，相同的工人会经历的结果进行比较。利用《失业工人调查》的数据，我们发现，失业工人平均每周的收入比他们如果没有失业的话少157美元。我们还发现存在着实质性的异质性。我们估计，42%的工人的收入比他们没有被转移的情况下的收入要高，而且很大一部分工人经历的负面影响比转移的平均影响要大得多。最后，我们还记录了不同教育水平、性别、年龄和反事实收入水平之间工作转移效应分布的主要差异。在整个论文中，我们严重依赖分位数回归。首先，我们使用分位数回归作为条件分布和分位数函数的一个灵活的（但可行的）第一步估计器，我们的主要结果建立在此基础上。我们还使用分位数回归来研究协变量如何影响工作位移的个体水平效应的分布。
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英文标题：
《Heterogeneous Effects of Job Displacement on Earnings》
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作者：
Afrouz Azadikhah Jahromi, Brantly Callaway
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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：Econometrics        计量经济学
分类描述：Econometric Theory, Micro-Econometrics, Macro-Econometrics, Empirical Content of Economic Relations discovered via New Methods, Methodological Aspects of the Application of Statistical Inference to Economic Data.
计量经济学理论，微观计量经济学，宏观计量经济学，通过新方法发现的经济关系的实证内容，统计推论应用于经济数据的方法论方面。
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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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英文摘要：
  This paper considers how the effect of job displacement varies across different individuals. In particular, our interest centers on features of the distribution of the individual-level effect of job displacement. Identifying features of this distribution is particularly challenging -- e.g., even if we could randomly assign workers to be displaced or not, many of the parameters that we consider would not be point identified. We exploit our access to panel data, and our approach relies on comparing outcomes of displaced workers to outcomes the same workers would have experienced if they had not been displaced and if they maintained the same rank in the distribution of earnings as they had before they were displaced. Using data from the Displaced Workers Survey, we find that displaced workers earn about $157 per week less, on average, than they would have earned if they had not been displaced. We also find that there is substantial heterogeneity. We estimate that 42% of workers have higher earnings than they would have had if they had not been displaced and that a large fraction of workers have experienced substantially more negative effects than the average effect of displacement. Finally, we also document major differences in the distribution of the effect of job displacement across education levels, sex, age, and counterfactual earnings levels. Throughout the paper, we rely heavily on quantile regression. First, we use quantile regression as a flexible (yet feasible) first step estimator of conditional distributions and quantile functions that our main results build on. We also use quantile regression to study how covariates affect the distribution of the individual-level effect of job displacement.
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PDF链接：
https://arxiv.org/pdf/2006.04968