The Truckers and Turnover Project is a statistical case study of a single firm and its employees which matches proprietary personnel and operational data to new data collected by the researchers to create a two-year panel study of a large subset of new hires. The project's most distinctive...

In applications, interviews, performance reviews, and many other environments, individuals are explicitly asked or implicitly invited to assess their own performance. In a series of experiments, we find that women rate their performance less favorably than equally performing men. This gender gap...

Firms and other organizations establish the criteria under which employees will be judged and the performance measures made available to supervisors, the board of directors and other stakeholders, and these structures almost certainly influence behavior and organization outcomes. Any divergence...

Improving public sector workforce quality is challenging in sectors such as education where worker productivity is difficult to assess and manager incentives are muted by political and bureaucratic constraints. In this paper, we study how providing improved information to principals about...

We study how heterogeneity in performance evaluations across supervisors affects employee and supervisor careers and firm outcomes using data on the performance system of a Scandinavian service sector firm. We show that supervisors vary widely in how they rate subordinates of similar quality. To...

This paper investigates employee performance appraisals using data from a single US firm between 2001 and 2007. We find that performance appraisals are both informative and drive important components of the employment contract. We find that employee appraisal scores vary considerably both...

We introduce a general Principal-Agent model with subjective evaluation and malfeasance characterized by two-sided asymmetric information on performance that allows for an arbitrary information structure. Two generic contract forms are studied. An authority contract has the Principal reveal his...

This paper introduces new nonparametric statistical methods to evaluate zero-cost investment strategies. We focus on directional trading strategies, risk-adjusted returns, and the investor's decisions under uncertainty as the core of our analysis. By relying on classification tools with a long...

Using a randomized experiment with an automobile manufacturing firm in China, we measure the effects of letting workers evaluate their managers on worker and firm outcomes. In the treatment teams, workers evaluate their supervisors monthly. We find that providing feedback leads to significant...