[This paper studies information system design in a model of double moral hazard in which there is both a decision problem and a control problem. If either problem is considered in isolation, an information system that provides more public information is preferred. However, an information system that provides less public information can, in fact, be desirable because of an interaction between the two problems. The benefit of choosing an information system that provides less information is that it serves as a substitute for commitment for the principal. The cost is that neither the principal's decision (act) nor the agent's payments can be conditioned on the information. We provide sufficient conditions under which less information and more information are each optimal.]

ABSTRACT Teamwork and team incentives are increasingly prevalent in modern organizations. Performance measures used to evaluate individuals' contributions to teamwork are often non-verifiable. We study a principal-multi-agent model of relational (self-enforcing) contracts in which the optimal contract resembles a bonus pool. It specifies a minimum joint bonus floor the principal is required to pay out to the agents, and gives the principal discretion to use non-verifiable performance measures to both increase the size of the pool and to allocate the pool to the agents. The joint bonus floor is useful because of its role in motivating the agents to mutually monitor each other by facilitating a strategic complementarity in their payoffs. In an extension section, we introduce a verifiable team performance measure that is a noisy version of the individual non-verifiable measures, and show that the verifiable measure is either ignored or used to create a conditional bonus floor.

ABSTRACT We study intertemporal incentive properties of conditional accounting conservatism. Conservatism has detrimental and beneficial properties. In our first model, conservatism introduces downward bias in the first period; any understatement of first-period performance is reversed in the second period. A conservative bias is not costly in the first period but instead is costly in the second period when a new manager may be rewarded for the performance of his predecessor. In an extension on learning, we illustrate a beneficial role of conservatism in fine-tuning incentives. In the second model, conservatism is modeled as recognizing effort-independent bad news early and good news late. Recognizing bad news early can be optimal because of intertemporal rent shifting, which improves incentives via an “incentive spillback.” We also study overlapping projects (a multi-task setting) in which an interior accounting system can be optimal to avoid making one of the overlapping projects an incentive bottleneck. JEL Classifications: D21; D74; D82; D86.

Abstract This paper studies information system design in a model of double moral hazard in which there is both a decision problem and a control problem. If either problem is considered in isolation, an information system that provides more public information is preferred. However, an information system that provides less public information can, in fact, be desirable because of an interaction between the two problems. The benefit of choosing an information system that provides less information is that it serves as a substitute for commitment for the principal. The cost is that neither the principal's decision (act) nor the agent's payments can be conditioned on the information. We provide sufficient conditions under which less information and more information are each optimal.

Abstract In this paper, we embed the double entry accounting structure in a simple belief revision (estimation) problem. We ask the following question: Presented with a set of financial statements (and priors), what is the reader's “best guess” of the underlying transactions that generated these statements? Two properties of accounting information facilitate a particularly simple closed form solution to this estimation problem. First, accounting information is the outcome of a linear aggregation process. Second, the aggregation rule is double entry.

In this paper, we embed the double entry accounting structure in a simple belief revision (estimation) problem. We ask the following question: Presented with a set of financial statements (and priors), what is the reader's “best guess” of the underlying transactions that generated these statements? Two properties of accounting information facilitate a particularly simple closed form solution to this estimation problem. First, accounting information is the outcome of a linear aggregation process. Second, the aggregation rule is double entry.