How Much Should We Trust Estimates of Firm Effects and Worker Sorting?

IF 3.9 1区 经济学 Q1 ECONOMICS Journal of Labor Economics Pub Date : 2023-04-01 DOI:10.1086/720009
Stephane Bonhomme, Kerstin Holzheu, Thibaut Lamadon, Elena Manresa, Magne Mogstad, Bradley Setzler
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引用次数: 5

Abstract

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.
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我们应该在多大程度上相信企业效应和工人分类的估计?
许多研究使用匹配的雇主-雇员数据来估计具有工人和企业固定效应的收入决定的统计模型。基于这一模型的估计得出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企业间工人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。我们发现有限流动偏差是严重的,偏差校正是重要的。
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来源期刊
CiteScore
6.40
自引率
2.60%
发文量
81
期刊介绍: Since 1983, the Journal of Labor Economics has presented international research that examines issues affecting the economy as well as social and private behavior. The Journal publishes both theoretical and applied research results relating to the U.S. and international data. And its contributors investigate various aspects of labor economics, including supply and demand of labor services, personnel economics, distribution of income, unions and collective bargaining, applied and policy issues in labor economics, and labor markets and demographics.
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