We use a simple theoretical framework and a randomized manipulation of access to information on peers' wages to provide new evidence on the effects of relative pay on indi-
vidual job satisfaction and job search intentions. A randomly chosen subset of employees of the University of California (UC) was informed about a new website listing the pay of University employees. All employees were then surveyed about their job satisfaction and job search intentions. Our information treatment doubles the fraction of employees using the website, with the vast majority of new users accessing data on the pay of colleagues in their own department. We find an asymmetric response to the information treatment: workers with salaries below the median for their pay unit and occupation report lower pay
and job satisfaction, while those earning above the median report no higher satisfaction. Likewise, below-median earners report a significant increase in the likelihood of looking for a new job, while above-median earners are unaected. Our findings suggest that job satisfaction depends directly on relative pay comparisons, and that this relationship is non-linear.