Moral Hazard and Least-Cost Contracts: Impact of Changes in Agent Preferences

Moral hazard (often called hidden action) arises when one party (a principal) hires another party (an agent) who undertakes unobservable effort. The agent's effort is stochastically related to the outcomes or profits of the principal. Because the effort is not observable or verifiable, the agent can only be paid a wage contingent upon the observable variable, such as whether a sale occurred or not. If a profit-maximizing principal wants the agent to work hard, she must provide a contract that (i) induces the agent to accept it; and (ii) induces the agent to work hard rather than shirk. The former is often called "individual rationality" or "participation constraint" and is satisfied if the agent's expected utility is at least equal to his reservation utility. The latter is called "incentive compatibility" and is satisfied if the agent's expected utility from working hard is at least equal to his expected utility from shirking.


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Moral hazard also arises in insurance situations (when the insured takes care, he lowers the probability of an accident, or the "failure" outcome in this model—see the Demonstration, "Moral Hazard", by Seth J. Chandler); in procurement situations (governments contract with suppliers who can cut their costs by reducing quality, which is more likely to result in the "failure" of the procured good); in firm executive decisions (the CEO may not thoroughly examine the impacts of a merger, or the CEO may embezzle funds); and in health care (doctors may not conduct all proper tests, or patients may not follow through with all properly prescribed care). Other common situations characterized by moral hazard are landlord-tenant or landlord-sharecropper, manager-employee, client-lawyer, citizenry-political leader, teacher-student, firm-auditor, contractor-subcontractor, and architect-builder.
Sometimes, regulations and monitoring, or an ex-post verification or possible auditing (insurance), are institutionalized to reduce the moral hazard or impose penalties. When the agent is penalized, his resulting income is akin to the "failure" wage in this model; when the agent is not penalized, his resulting income is akin to the 'success" wage. In other situations, such as taxation, the individual rationality constraint does not apply, since agents do not need to be induced to accept the contract. Other complications to this situation include the cases where the principal desires the agent to undertake several types of effort, there are several principals hiring one agent, the principal has some private information that may or may not be relevant to the agent, the agent has limited liability, or the relationship can be repeated.
To see the effects of changing the probabilities conditional on the agent's effort, go to the Demonstration "Moral Hazard and Least-Cost Contracts: Impact of Changes in Conditional Probabilities".
A contract pays if the outcome is a "failure" and if the outcome is a "success", so that each point in the quadrant is a possible contract. The Demonstration shows the regions of contracts that are:
(i) incentive compatible but not individually rational (green);
(ii) individually rational but not incentive compatible (blue); and
(iii) both (orange).
It also shows the optimal least-cost contract and, implicitly, the expected cost.
The green negatively sloped line represents the locus of contracts that just satisfy individual rationality; that is, the agent receives exactly his reservation utility. The blue positively sloped line represents the locus of contracts that just satisfy incentive compatibility; that is, the agent is indifferent between choosing and choosing the minimum effort, . The purple line represents a locus of contracts that cost the principal the same amount.
These change as the disutility of effort , reservation utility , and degree of relative risk aversion change. Where is the agent's wage and is the disutility of his effort, the agent's utility is given by .
The expected cost of the contract is directly proportional to the intercept of the purple line. Pay attention to the values on both axes and the size of the region. Notice what happens to the purple and green lines as the degree of relative risk aversion approaches 0 (risk neutral); also notice that everywhere, .
The model assumes that the conditional probabilities of the "failure" and "success" outcomes given that the agent chooses are 0.7 and 0.3, while those given that the agent chooses are 0.2 and 0.8, respectively.
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