Job Hopping and Adverse Selection in the Labor Market

IF 1.3 3区 社会学 Q3 ECONOMICS
Xiaodong Fan, Jed DeVaro
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引用次数: 12

Abstract

A model of employer learning (both symmetric and asymmetric) about worker ability from job histories is constructed, and testable implications are derived to detect asymmetric learning empirically. The model predicts that early-career bad job matches are particularly damaging when learning is asymmetric. Analysis of NLSY79 data reveals that job hopping is associated with lower wages for college graduates, controlling for measured ability, labor market experience, and current job tenure. Suggestive of asymmetric learning, the effect is strongest for job tenures less than one year and for early-career workers, and mitigated when job hopping severs matches that were formed during economic downturns.
劳动力市场中的跳槽与逆向选择
构建了雇主从工作经历中学习员工能力(对称和不对称)的模型,并推导了可检验的结论,以实证地检测不对称学习。该模型预测,当学习不对称时,职业生涯早期的不匹配尤其具有破坏性。对NLSY79数据的分析显示,在控制了测量能力、劳动力市场经验和当前工作任期的情况下,跳槽与大学毕业生的低工资有关。这表明了学习的不对称,对于任期不足一年的员工和刚开始工作的员工,这种影响最为明显,而当跳槽切断了经济衰退期间形成的匹配时,这种影响会减弱。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.20
自引率
0.00%
发文量
25
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