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Referral-based Job Search Networks

机译:基于推荐人的求职网络

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This article derives novel testable implications of referral-based job search networks in which employees provide employers with information about potential new hires that they otherwise would not have. Using comprehensive matched employer-employee data covering the entire workforce in one large metropolitan labour market combined with unique survey data linked to administrative records, we provide evidence that workers earn higher wages and are less inclined to leave their firms if they have obtained their job through a referral. These effects are particularly strong at the beginning of the employment relationship and decline with tenure in the firm, suggesting that firms and workers learn about workers' productivity over time. Overall, our findings imply that job search networks help to reduce informational deficiencies in the labour market and lead to productivity gains for workers and firms.
机译:本文从基于推荐的求职网络中得出了新颖的,可测试的含义,在这种网络中,员工可以为雇主提供有关原本不会拥有的潜在新员工的信息。通过使用涵盖一个大型都市劳动力市场中整个劳动力的全面匹配的雇主-雇员数据,再加上与行政记录相关的独特调查数据,我们提供的证据表明,如果工人通过以下方式获得工作,则他们的工资较高,并且不太愿意离开公司推荐。这些影响在雇佣关系开始之初尤为明显,并且随着公司任期的延长而下降,这表明公司和工人随着时间的推移了解工人的生产率。总体而言,我们的发现表明,求职网络有助于减少劳动力市场中的信息缺陷,并为工人和公司带来生产率的提高。

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