Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
This study examines the optimality of allowing corrupt interactions (bribery, framing and extortion) between the supervisor and the agent when the agent is loss averse. We show that although inducing bribery leads to effective usage of the supervisory information, preventing all corrupt interactions between the supervisor and the agent by disregarding some of supervisory information can be optimal.