Referrals and Search Efficiency: Who Learns What and When?

Bojilov, R., Barr, T., Munasinghe, L.

2017 | Bojilov, R, Barr, T., Munasinghe, L.

Journal of Labor Economics

IF 2017 : 3,607 |

AI 2017 : 5,918

Referrals and Search Efficiency: Who Learns What and When?

Referrals can impact screening and self-selection of applicants during the hiring process. We model and estimate how referral information affects the selection of employees through job offers, acceptances, and turnover. Using rich data from a call center company, we show that referrals help employers attract applicants with superior performance. Yet, performance differences between referred and non-referred workers diminish with tenure through selective turnover. Our estimates reveal that referrals allow employers to screen on hard-to-observe but performance-relevant attributes for employees of both high performance and high propensity to stay. Thus, referred applicants complete much of the sorting during the hiring process.

Publicado en: Journal of Labor Economics

Artículo: ISI , Estrategia