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Gambling motivation and involvement: A review of social

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utility for a person who owns only 1000 dollars than it has for a person who owns<br />

1,000,000 dollars. For the former person, 500 dollars is a substantial increase in<br />

wealth, for the latter it is a drop in the ocean.<br />

This is illustrated by the solid line in Figure 1: the Bernoulli logarithmic function<br />

(also called the von Neuman-Morgenstern utility function). Although w1 <strong>and</strong> w2<br />

are additions <strong>of</strong> equal sums <strong>of</strong> monetary (or other) value to an individual’s wealth,<br />

w2 causes a lesser increase (b) in utility than w1 (a). As noted by Bernoulli, this has<br />

further implications for gambling than the rather contrived bet <strong>of</strong> the St. Petersburg<br />

Paradox. Let us assume that a person, who has a wealth <strong>of</strong> 10,000 dollars, is <strong>of</strong>fered<br />

the opportunity to bet 1000 dollars on a gamble in which he has an equal chance<br />

<strong>of</strong> losing or doubling his stake. According to Bernoulli’s theory, the 1000 dollars<br />

he might win has less expected utility value than the 1000 dollars he might lose.<br />

Therefore, “everyone who bets any part <strong>of</strong> his fortune, however small, on a mathematically<br />

fair game <strong>of</strong> chance acts irrationally” [139 p.29 ]. Of course, if the odds are<br />

against the gambler, it is even more irrational to stake money. Thus, while Gabriel<br />

Cramer <strong>and</strong> Daniel Bernoulli apparently solved the St. Petersburg Paradox, there<br />

remained enigmas in gambling behavior for economists who adhered to the notion<br />

<strong>of</strong> “economic man” as rational <strong>and</strong> utility-maximizing.<br />

RELEvancE tO pRObLEm GambLinG StudiES<br />

The theories <strong>of</strong> the early economists on gambling have little relevance to gambling<br />

studies <strong>of</strong> today. The theories have been described here to provide a background for<br />

later developments in economic theory.<br />

Classical expected utility theory<br />

The question <strong>of</strong> why rational people chose to gamble remained unsolved in economics<br />

for more than 200 years. Various solutions were attempted, but proved to<br />

be inadequate. It was particularly difficult to account for the fact that <strong>of</strong>ten people<br />

both gamble <strong>and</strong> buy insurance, the first being a risk-seeking activity <strong>and</strong> the second<br />

suggesting an aversion to risk. It was not until 1948 that a widely accepted solution<br />

was presented by Milton Friedman <strong>and</strong> Leonard Savage [140]: the marginal utility<br />

<strong>of</strong> wealth does not diminish uniformly, see the dashed line in Figure 1 (“Friedman-<br />

Savage function”).<br />

26 G A M B L I N G M O T I VAT I O N A N D I N V O LV E M E N T

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