Gambling motivation and involvement: A review of social
Gambling motivation and involvement: A review of social
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