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Moral Hazard in Remote Teams

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... Empirically, people are known to choose transaction partners in dilemma situations based on factors that inform the quality of that partner.Elfenbein et al. (2012), using a novel data set composed of more than 160,000 eBay listings, successfully demonstrated that in online marketplaces, buyers tend to purchase products tied to charity, and thus sellers have incentives to use a charity program (e.g., eBay's Giving Works program) as a quality signal.4 Bisetti et al. (2022) propose a self-reporting mechanism in which a team's pay is based on their observed joint output and their team's self-reported performance. They prove that a team has the incentive to under-report their group's performance (sacrifice wages for all in the team) as a punishment to free-riders, thereby enabling them to achieve higher welfare.5 Strengthening monitoring increases the probability that cyberloafing is detected and penalties are assigned, thereby reducing workers' incentives to cyberloaf. ...
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In this note we present an example of a repeated partnership game with imperfect monitoring in which all supergame equilibria with positive discount rates are bounded away from full efficiency uniformly in the discount rate, provided the latter is strictly positive. On the other hand, if the players do not discount the future, then every efficient one-period payoff vector that dominates the one-period equilibrium payoff vector can be attained by an equilibrium of the repeated game. Thus the correspondence that maps the players' discount rate into the corresponding set of repeated-game equilibrium payoff vectors is discontinuous at the point at which the discount rate is zero.
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In a partnership game, each player's utility depends on the other players' actions through a commonly observed consequence (e.g. output, profit, price), which is itself a function of the players' actions and an exogenous stochastic environment. If a partnership game is repeated infinitely, and each player's payoff in the infinite game (supergame) is the long-run average of his expected one-period utilities, then efficient combinations of one-period actions can be sustained as Nash equilibria of the supergame even if the players cannot observe other players' actions or information, but can only observe the resulting consequences.
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Much of the existing theory of incentives describes a static relationship that lasts for just one transaction. This static assumption is not only unrealistic, but the resulting predictions appear to be at odds with many work organizations. The current paper introduces possible long-term interaction among agents, and studies how the design of explicit incentives and work organizations can exploit, and interact with, the implicit incentives generated by the repeated interaction of the agents. The optimal incentive scheme is shown to display observed features of the increasingly popular "teams," such as the use of low-powered, group incentives.
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A pre-recorded version of Leonid Hurwicz' Prize Lecture was presented on 8 December 2007 at Aula Magna, Stockholm University. The lecture was introduced by Professor Jorgen Weibull, Chairman of the Economics Prize Committee. (This abstract was borrowed from another version of this item.)
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this paper. In addition, most of this earlier work focuses on e#ciency issues, taking monitoring or partnership size as given. striking because partners are ex ante identical, so the gains from task specialization cannot be attributed to any comparative advantage of some subset of the partners in either task, nor are there gains in scale or scope of the tasks that might drive the result. The gains from specialization arise from lessening shirking (in both monitoring and production) by having only a subset of partners engage in monitoring. Our model assumes linear sharing rules, exponential utility, and normally distributed random variables. In the typology of models laid out in Lambert (2001), our model thus falls in the class of multi-action models using the LEN framework. Such models have been used in accounting (e.g., Bushman and Indjejikian, 1993, Feltham and Xie, 1994, and Hemmer, 1995) and economics (e.g., Holmstrom and Milgrom, 1991) to study how optimal linear incentive contracts vary with the characteristics of available signals when agents must divide their e#ort across more than one task. While our study can be considered a multi-task analysis because partners must decide how much e#ort to devote to the task of producing output and the task of monitoring, monitoring is not a generic task because monitoring is undertaken by one partner to stimulate productive acts by other partners. Thus, monitoring activities arise endogenously in response to the underlying free-riding problem with respect to the productive activity. The LEN framework has also been used to study organizational form in related work by Baldenius, Melumad, and Ziv (2002), who explore how the correlation structure of monitors' signals a#ects the optimal assignment monitors to agents given fixed n...
Contracting with repeated moral hazard and private evaluations
  • W Fuchs
Optimal team size and monitoring in organizations
  • P J Liang
But who will monitor the monitor?
  • D Rahman