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Moral Hazard: More than Two Levels of Performance

We now extend our previous 2 × 2 model to allow for more than two levels of performance.8 We consider a production process where n possible outcomes can be realized. Those performances can be ordered so that q1 < q2 < ··· < qi < ··· < qn. We denote the principal’s return in each

14
Mar
Moral Hazard: Informative Signals to Improve Contracting

As in the case of adverse selection analyzed in section 2.14, various verifiable signals can be used by the principal to improve the provision of incentives to the agent in a moral hazard framework. These pieces of information can be gathered by different kinds of information systems that are internal to the organization in

14
Mar
Moral Hazard: Moral Hazard and the Theory of the Firm

The trade-off between risk and incentives provides one possible explanation of the wage compensations used in firms. The widespread use of stock options for CEOs can be seen as a result of the desire of the firm’s owners to let these agents bear more risk so that they are better incentivized. Similarly, the use

14
Mar
Moral Hazard: Contract Theory at Work

This section elaborates on the moral hazard paradigm discussed so far in a number of settings that have been discussed extensively in the contracting literature. 1. Efficiency Wage  Let us consider a risk-neutral agent working for a firm, the principal. By exerting effort e in f0h 1i, the firm’s added value is V¯ (resp. V

14
Mar
Moral Hazard: Commitment Under Moral Hazard

The assumption of full commitment to an incentive scheme was already discussed in section 2.12 in the case of adverse selection. This issue is also quite important under moral hazard. For instance, to induce a positive effort level the principal must let the risk-averse agent bear some risk. However, once this effort is sunk,

14
Mar
Incentive and Participation Constraints with Moral Hazard

In chapter 4, we stressed the various conflicts that may appear in a moral hazard environment. The analysis of these conflicts, under both limited liability and risk aversion, was made easy because of our focus on a simple 2 × 2 environment with a binary effort and two levels of performance. The simple interaction

16
Mar
Moral Hazard: More than Two Levels of Effort

1. A Discrete Model  Let us extend the model of chapter 4 by allowing more than two levels of effort. Consider the more general case, with n levels of production q1 < q2 < ··· < qn and K levels of effort with 0 = e0 < e1 < ··· < ek-1 and the disutilities of effort

16
Mar
Moral Hazard: The Multitask Incentive Problem

It is often the case that the agent does not exert a single-dimensional effort, par- ticularly when he is involved in many related activities associated with the same job. Such examples abound, as we will see in section 5.2.5 below. When the agent simultaneously performs several tasks for the principal, new issues arise: How

16
Mar
Moral Hazard: Nonseparability of the Utility Function

The separability in transfer and effort of the agent’s utility function simplifies the principal-agent theory with moral hazard by ensuring that the agent’s participation constraint is binding. However, it neglects one significant incentive effect, namely that one way to provide incentives is to make the agents richer by decreasing their marginal disutility of effort.

16
Mar
Moral Hazard: Redistribution and Moral Hazard

In chapter 3, we have already seen how the conflict between incentive compat- ibility and budget balance leads to the under-provision of output in an adverse selection model. The same qualitative result still holds in a moral hazard environ- ment. Expected volume of trade may be reduced by moral hazard. To illustrate this point,

16
Mar
Nonverifiability in agency theory

When two parties engage in a relationship, it is often the case that they are uncer- tain about the value of some parameter that will affect their future gains from trade. This uncertainty is represented by assuming that the parameter can take several values, each value corresponding to different states of nature whose prob-

20
Mar
Nonverifiability: No Contract at Date 0 and Ex Post Bargaining

With the same model as in chapter 2, we now assume that the parameter θ is unknown at the contracting date (date t = 0) but becomes common knowledge between the two parties, the principal and the agent, later on (at date t = 1). First we examine the case where no initial contract

20
Mar
Nonverifiability: Incentive Compatible Contract

Instead of waiting for the realization of the state of nature, the principal can offer to the agent, at the ex ante stage (date t = 0), a contract that ensures ex post efficiency under some rather weak conditions, as we see in the following. This contract can only be written in terms of

20
Mar
Nonverifiability: Nash Implementation

In section 6.2, we have just seen how the principal and the agent can achieve ex post efficiency through an ex ante contract when they are both risk neutral. This contract uses only the agent’s message but fails to achieve efficiency when the agent is risk-averse or when nonresponsiveness occurs. We now propose a

20
Mar
Nonverifiability: Subgame-Perfect Implementation

From proposition 6.4, a necessary condition for unique Nash implementation is that an allocation rule a(·) be monotonic. Any allocation rule that fails to be monotonic will also fail to guarantee unique Nash implementation. Then, one may wonder if refinements of the Nash equilibrium concept can still be used to ensure unique implementation. The

20
Mar
Nonverifiability: Risk Aversion

The previous sections have discussed how various sorts of mechanisms may help to implement the first-best allocation rule when both the principal and the agent are risk neutral. The objective of this section is to discuss the potential of those mechanisms when either the principal or the agent is risk averse. 1. Risk-Averse Agent 

20
Mar
Mixed Models of agency theory

The pure models of chapter 2 for adverse selection, chapter 4 for moral hazard and chapter 6 for nonverifiability were highly stylized contracting settings. Each of those models aimed at capturing a single dimension of the incentive problems that may be faced by a principal at the time of designing the contract for his

21
Mar
Mixed Models: Adverse Selection Followed by Moral Hazard

In the standard moral hazard framework of chapter 4, it was first assumed that the agent had no private information of his own. In insurance markets, insurees often have some prior information about how risky they are before exerting any effort to prevent this risk. Similarly, in credit markets, a borrower may know the

21
Mar
Mixed Models: Moral Hazard Followed by Adverse Selection

Sometimes an agent undertakes an initial nonverifiable investment or performs an effort before producing any output for the principal. For instance, the agent can choose a costly technology that affects the distribution of his marginal cost of production. At the time of choosing whether to incur the nonverifiable investment or not, the agent is

21
Mar
Mixed Models: Moral Hazard Followed by Nonverifiability

The last stage of our travel in the world of mixed models brings us to the analysis of models with both moral hazard and nonverifiability. We now assume that the agent first exerts a nonobservable effort that affects the realization of the state of nature, but this state of nature remains nonverifiable, even though

21
Mar
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  • Management Theories
    • Industrial Organization
      • Competitive Advantage Theory
      • Contingency Theory
      • Institutional Theory
      • Evolutionary Theory of the Firm
      • Theory of Organizational Ecology
      • Behavioral Theory of the Firm
      • Resource Dependence Theory
      • Invisible Hand Theory
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      • Agency Theory
      • Decision Theory
      • Theory of Organizational Structure
      • Theory of Organizational Power
      • Property Rights Theory
      • The Visible Hand
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