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Challenges in the Era of Globalization - iaabd

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Proceed<strong>in</strong>gs <strong>of</strong> <strong>the</strong> 12th Annual Conference © 2011 IAABD<br />

Theoretical Perspectives<br />

A <strong>the</strong>ory is a body <strong>of</strong> logically <strong>in</strong>terdependent and generalized concepts <strong>of</strong> empirical reference (Parsons,<br />

1964). This also refers to abstractions, speculations, ideas and conceptual constructions which are<br />

tentative and attempt to make a causal explanation or descriptive illustration <strong>of</strong> a particular phenomenon.<br />

Theory <strong>of</strong> Consumer Behaviour<br />

The traditional <strong>the</strong>ory <strong>of</strong> consumer behavior assumed that <strong>the</strong> consumer or decision maker is certa<strong>in</strong> <strong>of</strong><br />

<strong>the</strong> outcomes aris<strong>in</strong>g from alternative acts or decisions. However, many choices made by consumers take<br />

place under conditions <strong>of</strong> uncerta<strong>in</strong>ty. In this section, we explore how <strong>the</strong> <strong>the</strong>ory <strong>of</strong> consumer choice can<br />

be used to describe such behavior follow<strong>in</strong>g <strong>the</strong> path break<strong>in</strong>g work <strong>of</strong> Neumann and Morgestern (1944).<br />

Suppose a consumer <strong>in</strong>itially has monetary wealth W. There is some probability p that he will lose an<br />

amount L. For <strong>in</strong>stance, <strong>the</strong>re is some probability his house will burn down. The consumer can purchase<br />

<strong>in</strong>surance that will pay him q naira <strong>in</strong> <strong>the</strong> event that he <strong>in</strong>curs this loss. The amount <strong>of</strong> money that he has<br />

to pay for q naira <strong>of</strong> <strong>in</strong>surance coverage is πq; while π is <strong>the</strong> premium per naira <strong>of</strong> coverage.<br />

Thus this situation can be characterized as a game <strong>of</strong> chance as follows:<br />

(W – L – πq + q, W – πq), (p,1-p)…………………………………………………………………………….1<br />

If we consider a special scenario <strong>of</strong> this lottery, where he fully <strong>in</strong>sures risk; i.e., where q = L. With full<br />

<strong>in</strong>surance, state cont<strong>in</strong>gent wealth is W – πq regardless <strong>of</strong> whe<strong>the</strong>r a state cont<strong>in</strong>gent loss occurs; thus he<br />

exchanges an uncerta<strong>in</strong> loss (L) for a certa<strong>in</strong> loss (πq).<br />

We assume that this <strong>in</strong>dividual has a von Neumann-Morgenstern utility function U(W). Thus U(W) is<br />

cont<strong>in</strong>uous and twice differentiable; i.e., marg<strong>in</strong>al utility is positive and decreas<strong>in</strong>g <strong>in</strong> wealth. Given <strong>the</strong>se<br />

assumptions, <strong>in</strong>surance will be purchased if and only if a q exists such that <strong>the</strong> expected utility <strong>of</strong> be<strong>in</strong>g<br />

<strong>in</strong>sured is higher than <strong>the</strong> expected utility <strong>of</strong> be<strong>in</strong>g un<strong>in</strong>sured; i.e.,<br />

pU(W – πq – L + q) + (1 – p)U(W - πq > pU(W - L) + (1 – p)U(W)…………………………………2<br />

How much coverage will <strong>the</strong> consumer purchase can be analyzed by solv<strong>in</strong>g <strong>the</strong> utility maximization<br />

problem thus:<br />

max E(U(W))= Max pU(W – L – πq + q) + (1 – p)U(W – πq)……………………………………….3<br />

The solution to this maximization problem (among o<strong>the</strong>r factors) depends on <strong>the</strong> attitude <strong>of</strong> <strong>the</strong> <strong>in</strong>dividual<br />

to risk. If <strong>the</strong> consumer is strictly risk averse he will completely <strong>in</strong>sure himself aga<strong>in</strong>st <strong>the</strong> loss L. A<br />

person is a risk averter relative to a lottery if <strong>the</strong> utility <strong>of</strong> its expected value is greater than <strong>the</strong> expected<br />

value <strong>of</strong> its utility. Such a person prefers a certa<strong>in</strong> outcome to an uncerta<strong>in</strong> one with <strong>the</strong> same expected<br />

value. On <strong>the</strong> o<strong>the</strong>r hand a person can be risk neutral relative to a lottery if <strong>the</strong> utility <strong>of</strong> <strong>the</strong> expected<br />

value <strong>of</strong> <strong>the</strong> lottery equals <strong>the</strong> expected utility <strong>of</strong> <strong>the</strong> lottery. Such a person is only <strong>in</strong>terested <strong>in</strong> expected<br />

values and is totally oblivious to risk. In <strong>the</strong> same ve<strong>in</strong>, a person can be a risk lover relative to a lottery if<br />

<strong>the</strong> utility <strong>of</strong> its expected value is less than its expected utility. However, sociologists have <strong>of</strong>fered<br />

different <strong>the</strong>oretical explanations for this attitud<strong>in</strong>al behavior.<br />

Socio-cultural School<br />

One <strong>the</strong>ory that <strong>in</strong>forms people attitude towards <strong>in</strong>surance is <strong>the</strong> social action. The social action <strong>the</strong>ory by<br />

Max Weber expla<strong>in</strong>s that human actions are mean<strong>in</strong>gful and that certa<strong>in</strong> reasons push people <strong>in</strong>to various<br />

k<strong>in</strong>ds <strong>of</strong> actions. To Weber, <strong>the</strong>re are three k<strong>in</strong>ds <strong>of</strong> action: traditional (based on customs and habits);<br />

affective (based on <strong>the</strong> emotional state <strong>of</strong> <strong>the</strong> <strong>in</strong>dividual at a particular time); and rational (based on a<br />

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