This paper analyzes coalitional behavior in principal-multiagent relationships with moral hazard, and identifies cases where the principal prefers agents to form a coalition via side contracting. The paper first shows that when agents' efforts are mutually unobservable so that their side contracts cannot be contingent on their efforts, the possibility of mutual insurance through monetary side contracts never makes the principal better off. It is then shown that when the agents can monitor each other's efforts perfectly, coordination in effort choice through side contracts contingent on efforts and outputs enables the principal to reduce the cost of implementing given efforts. This result holds when no production externality exists and noise terms are independent, when there is team production and the agents are sufficiently homogeneous, or when production externalities such as mutual "help" are important and there is a pressure toward "egalitarianism."
The paper aims at obtaining new theoretical insights into organizational behavior by combining the standard moral hazard models of principal-agent relationships with theories of other-regarding (social or interdependent) preferences, in particular, inequity aversion theory. In the benchmark model, the principal and the agent are both risk neutral, while the agent is wealth constrained and hence the basic tradeoff between incentives and rent extraction arises. I show that other-regarding preferences interact with incentives in nontrivial ways. In particular, the principal is in general worse off as the agent cares more about the well-being of the principal. When there are multiple symmetric agents who care about each other’s well-being, the principal can optimally exploit their other-regarding nature by designing an appropriate interdependent contract such as a “fair” team contract or a relative performance contract that creates inequality when their performance outcomes are different. The optimal contract depends on the nature of the agents’ other-regarding preferences. The approach taken in this paper can shed light on issues on endogenous preferences within organizations, as suggested by sociologists and organizational economists
The paper aims at obtaining new theoretical insights into organizational behavior by combining the standard moral hazard models of principal-agent relationships with theories of other-regarding (social or interdependent) preferences, in particular, inequity aversion theory. In the benchmark model, the principal and the agent are both risk neutral, while the agent is wealth constrained and hence the basic tradeoff between incentives and rent extraction arises. I show that other-regarding preferences interact with incentives in nontrivial ways. In particular, the principal is in general worse off as the agent cares more about the well-being of the principal. When there are multiple symmetric agents who care about each other's well-being, the principal can optimally exploit their other-regarding nature by designing an appropriate interdependent contract such as a "fair" team contract or a relative performance contract that creates inequality when their performance outcomes are different. The optimal contract depends on the nature of the agents' other-regarding preferences.The approach taken in this paper can shed light on issues on endogenous preferences within organizations, as suggested by sociologists and organizational economists. JEL C N: D82, D63, M52, M54.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.