Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
Using a new firm-level data set that includes explicit information on referrals by current employees, we investigate the hiring process and the relationships among referrals, match quality, wage trajectories, and turnover for a single US corporation and test various predictions of theoretical models of labor market referrals. We find that referred candidates are more likely to be hired; experience an initial wage advantage, which dissipates over time; and have longer tenure in the firm. Further, the variances of the referred and nonreferred wage distributions converge over time. The observed referral effects appear to be stronger at lower skill levels. The data also permit analysis of the role of referrer-referee pair characteristics.