In this paper, we estimate tenure-performance profiles using unique panel data that contain detailed information on individual workers' performance. We find that a 10 percent increase in tenure leads to an increase in performance of 5.5 percent of a standard deviation. This translates to an...

In this paper, we estimate tenure-performance profiles using unique panel data that contain detailed information on individual workers' performance. We find that a 10 per cent increase in tenure leads to an increase in performance of 5.5 per cent of a standard deviation. This translates to an...

We provide a reason for the wider economics profession to take social preferences, a concern for the outcomes achieved by other reference agents, seriously. Although we show that student measures of social preference elicited in an experiment have little external validity when compared to...

This paper examines the issue of whether workers learn productive skills from their co-workers, even if those skills are unethical. Specifically, we estimate whether Jose Canseco, a star baseball player in the late 1980's and 1990's, affected the performance of his teammates by introducing them...

This paper examines the issue of whether workers learn productive skills from their co-workers, even if those skills are unethical. Specifically, we estimate whether Jose Canseco, one of the best baseball players in the last few decades, affected the performance of his teammates. In his...

This paper examines the issue of whether workers learn productive skills from their co-workers, even if those skills are unethical. Specifically, we estimate whether Jose Canseco, one of the best baseball players in the last few decades, affected the performance of his teammates. In his...

The paper studies how social job finding networks affect firms' selection of employees and the setting of entry wages. Our point of departure is the Montgomery (1991) model of employee referrals which suggests that it is optimal for firms to hire new workers through referrals from their most...