Referral-based Job Search Networks

S-Tier
Journal: Review of Economic Studies
Year: 2016
Volume: 83
Issue: 2
Pages: 514-546

Authors (4)

Christian Dustmann (not in RePEc) Albrecht Glitz (Barcelona School of Economics ...) Uta Schönberg (not in RePEc) Herbert Brücker (not in RePEc)

Score contribution per author:

2.011 = (α=2.01 / 4 authors) × 4.0x S-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

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.

Technical Details

RePEc Handle
repec:oup:restud:v:83:y:2016:i:2:p:514-546.
Journal Field
General
Author Count
4
Added to Database
2026-01-25