How Much Should we Trust Estimates of Firm Effects and Worker Sorting?
How Much Should we Trust Estimates of Firm Effects and Worker Sorting?
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我们应该在多大程度上相信对公司效应和工人分类的估计？
DOI：
10.1086/720009
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发表时间：
2023
影响因子：
3.8
通讯作者：
Setzler, Bradley
中科院分区：
文献类型：
--
作者：
Bonhomme, Stephane;Holzheu, Kerstin;Lamadon, Thibaut;Manresa, Elena;Mogstad, Magne;Setzler, Bradley
许多研究使用匹配的雇主-雇员数据来估计具有工人和公司固定效应的收入决定统计模型。基于这一模型的估计产生了有影响力但有争议的结论。本文的目的是评估这些结论对由于工人在公司之间的流动性有限而产生的偏见的敏感性。我们使用来自美国和几个欧洲国家的雇主-雇员数据，同时利用固定效应和随机效应方法进行偏差校正。我们发现有限迁移率偏置是严重的，偏置校正是重要的。
Many studies use matched employer-employee data to estimate a statistical model of earnings determination with worker and firm fixed effects. Estimates based on this model have produced influential yet controversial conclusions. The objective of this paper is to assess the sensitivity of these conclusions to the biases that arise because of limited mobility of workers across firms. We use employer-employee data from the United States and several European countries while taking advantage of both fixed effects and random effects methods for bias correction. We find that limited mobility bias is severe and that bias correction is important.