Supervisors occupy central roles in production and performance monitoring. 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...

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 information to principals about teacher...

Employer learning about workers' abilities plays a key role in determining how workers sort into jobs and are compensated. This study explores whether learning is symmetric or asymmetric, i.e., whether potential employers have the same information about worker ability as the incumbent firm. I...

A large, mature and robust economic literature on pay for performance now exists, which provides a useful framework for thinking about pay for performance systems. I use the lessons of the literature to discuss how to design and implement pay for performance in practice. -- incentives ; pay for...

Firms commonly use supervisor ratings to evaluate employees when objective performance measures are unavailable. Supervisor ratings are subjective and data containing supervisor ratings typically stem from individual firm level data sets. For both these reasons, doubts persist on how useful such...

Die vorliegende Arbeit untersucht die Wirkung von Eignungsrückmeldungen nach Potenzialanalysen auf die individuelle Karriereplanung von Mitarbeitern i. S. einer Veränderung der Motivation zur Wahl alternativer Laufbahnen. Die Probanden waren Teilnehmer der Potenzialanalyse „Führung/komplexe...

Mit der Vereinbarung des Tarifvertrages für den öffentlichen Dienst (TVöD) gehören Leistungsentgeltsysteme zum Standardinstrumentarium des Personalmanagements öffentlicher Organisationen (Holtmann 2008). Die Empirie zur Praxis des §18 TVöD zeigt allerdings eine große Varianz in der...