Dynamic moral hazard without commitment
نویسندگان
چکیده
We study a discrete-time model of repeated moral hazard without commitment. In every period, a principal finances a project, choosing the scale of the project and a contingent payment plan for an agent, who has the opportunity to appropriate the returns of a successful project unbeknownst the principal. The absence of commitment is reflected both in the solution concept (perfect Bayesian equilibrium) and in the ability of the principal to freely revise the project’s scale from one period to the next. We show that removing commitment from the equilibrium concept is relatively innocuous—if the players are sufficiently patient, there are equilibria with payoffs low enough to effectively endow the players with the requisite commitment, within the confines of perfect Bayesian equilibrium. In contrast, the frictionless choice of scale has a significant effect on the project’s dynamics. Starting from the principal’s favorite equilibrium, the optimal contract eventually converges to the repetition of the stage-game Nash equilibrium, operating the project at maximum scale and compensating the agent (only) via immediate payments. We thank Bruno Biais and Thomas Mariotti for helpful conversations and comments and we thank Yi Chen for valuable research assistance. We thank the National Science Foundation (SES-1153893, Samuelson) for financial support. Dynamic Moral Hazard without Commitment
منابع مشابه
Dynamic Moral Hazard and Stopping
We analyse a simple model of dynamic moral hazard in which there is a clear and tractable trade-off between static and dynamic incentives. In our model, a principal wants an agent to complete a project. The agent undertakes unobservable effort, which affects in each period the probability that the project is completed. We characterise the contracts that the principal sets, with and without comm...
متن کاملDynamic Moral Hazard and Project Completion
We analyse a simple model of dynamic moral hazard in which there is a clear and tractable trade-off between static and dynamic incentives. In our model, a principal wants an agent to complete a project. The agent undertakes unobservable effort, which affects in each period the probability that the project is completed. The principal pays only on completion of the project. We characterise the co...
متن کاملMarkov-Perfect Risk Sharing, Moral Hazard and Limited Commitment
We define, characterize and compute Markov-perfect risk-sharing contracts in a dynamic stochastic economy with endogenous asset accumulation and simultaneous limited commitment and moral hazard frictions. We prove that Markov-perfect insurance contracts preserve standard properties of optimal insurance with private information and are not more restrictive than a longterm contract with one-sided...
متن کاملMoral Hazard and Lack of Commitment in Dynamic Economies
We revisit the role of limited commitment in a dynamic risk-sharing setting with private information. We show that a Markov-perfect equilibrium, in which agent and insurer cannot commit beyond the current period, and an infinitely-long contract to which only the insurer can commit, implement identical consumption, effort and welfare outcomes. Unlike contracts with full commitment by the insurer...
متن کاملDynamic labor contracts with temporary layoffs and permanent separations
We study the implications of optimal dynamic contracts in private information environments for fluctuations in effort and employment across time and productivity states. To this end, we incorporate temporary layoffs and permanent separations as well as on-the-job effort variations into a dynamic model of moral hazard. We consider two different “commitment” environments. In a “full commitment” e...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Int. J. Game Theory
دوره 45 شماره
صفحات -
تاریخ انتشار 2016