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David K.H. Begg, Gianluigi Vernasca-Economics-McGraw Hill Higher Education (2011)

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CHAPTER 12 Risk and information<br />

want to pay for a lazy worker. However, you do not know with certainty if the worker you are hiring is<br />

going to be productive or not. On the other hand, the worker knows himself and knows ifhe is productive<br />

or not. In this case, there is asymmetric information, since one party (the worker) has more information<br />

about an important characteristic of the transaction (his productivity) than the other party (you, as the<br />

owner of the company). Why is this related to risk and uncertainty?<br />

You are uncertain about the productivity of the worker and in the case of them being unproductive you<br />

face the risk of paying someone who does not contribute to the profits of the company. The existence of<br />

asymmetric information creates the possibility of opportunistic behaviour: the informed individual benefits<br />

at the expense of the less-informed individual.<br />

In the case of asymmetric information we distinguish between two possible cases:<br />

1 Moral hazard (or hidden action) In this case the uninformed agent cannot observe a particular action<br />

of the informed individual. For example, a worker may put little effort into performing his job if it is<br />

difficult for the employer to monitor him. The problem of moral hazard is also known as the principalagent<br />

problem, where the principal is the name we give to the uninformed individual and the agent is<br />

the informed one.<br />

2 Adverse selection (or hidden information) This is the case where the uninformed individual does not<br />

know about an unobservable characteristic of the informed individual. For example, a person who wants<br />

to buy life insurance has more information about his own health than does the insurance company.<br />

In the following sections we discuss the two cases in the context of the insurance market.<br />

Moral hazard<br />

Insurance companies calculate the statistical chances of particular events. They work out how many cars<br />

are stolen each year. Since different thefts are largely independent risks, we expect insurance firms to pool<br />

the risk over many clients and charge low premiums for car theft.<br />

Sitting in a restaurant, you remember that your car is unlocked. Do you abandon your nice meal and rush<br />

outside to lock it? Not if you know the car is fully insured against theft. If the act of insuring changes the<br />

odds, then we have the problem of moral hazard. The informed individual (the insured) has an incentive<br />

to engage in risky behaviour; in this case, by not making the effort to minimize the chance of having his<br />

car stolen.<br />

Statistical averages for the whole population, some of whom are uninsured and take greater care, are no<br />

longer a reliable guide to the risks the insurance company faces and the premiums it should charge. Moral<br />

hazard makes it harder to get insurance and more expensive when you do get it.<br />

Insurance companies insure your car or house only up to a certain percentage of its replacement cost. They<br />

take over a big part of the risk, but you are worse off if the bad thing happens. The company gives you an<br />

incentive to minimize the chance of the bad thing happening. By limiting moral hazard, the insurance<br />

company pays out less frequently and can charge a lower premium.<br />

Why are CEOs paid so much?<br />

II<br />

The compensation received by chief executive officers ( CEOs) of large banks has featured<br />

prominently in the news in the past couple of years. As a result of the credit crunch some<br />

troubled large banks were rescued using taxpayers' money. Nevertheless, those large banks continued to<br />

provide large bonuses to their CEOs. US President Barak Obama once described such large bonuses as<br />

'shameful' and the public appears outraged each time one is announced in the news.<br />

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