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RISK POOLING: Combining the uncertainty of individuals into a calculable risk for large groups. For example, you may or may not contract the flu this year. However, if you're thrown in with 99,999 other people, then health-care types who spend their lives measuring the odds of an illness, can predict that 1 percent of the group, or 1,000 people, will get the flu. The uncertainty is that they probably don't know which 1,000 people, they only know the number afflicted. This little bit of information is what makes risk pooling possible. If the cost is $50 per illness, then an insurance company can insure your 100,000-member group against flu if they collect $50,000 ($50 x 1,000 sick people), or 50 cents per person. By agreeing to pay the cost of each sick person in exchange for the 50 cent payments, the insurance company has effectively pooled the risk of the group.

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PREFERENCES CHANGE, UTILITY ANALYSIS

A disruption of consumer equilibrium identified with utility analysis caused by changes in the preferences for a good, which likely results in a change in the quantities of the goods consumed. The change in preferences alters the marginal utility-price ratio and forces a reevaluation of the rule of consumer equilibrium.

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