One of the most intriguing discoveries of experimental economics is that (1) as we have seen, people invariably behave non-cooperatively in small and… - Vernon L. Smith

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One of the most intriguing discoveries of experimental economics is that (1) as we have seen, people invariably behave non-cooperatively in small and large group ‘impersonal’ market exchange institutions; (2) many (up to half in single play; over 90% in repeat play) cooperate in ‘personal’ exchange (two-person extensive form games); (3) yet in both economic environments all interactions are between anonymous players.

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About Vernon L. Smith

Vernon Lomax Smith (born on January 1, 1927) is an American economist, who with Daniel Kahneman was awarded the 2002 Nobel Memorial Prize in Economic Sciences "for having established laboratory experiments as a tool in empirical analysis, especially in the study of alternative market mechanisms."

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Native Name: Vernon Lomax Smith
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Microeconomics, including the study of individual choice and of group choice in market and nonmarket processes, has generally been considered a field science as distinct from an experimental science. Hence microeconomics has sometimes been classified as "non-experimental" and closer methodologically to meteorology and astronomy than to physics and experimental psychology (Marschak, 1950, p. 3; Samuelson, 1973, p. 7). But the question of using experimental or nonexperimental techniques is largely a matter of cost, and generally the cost of conducting the most ambitious and informative experiments in astronomy, meteorology, and economics varies from prohibitive down to considerable. The cost of experimenting with different solar system planetary arrangements, different atmospheric conditions, and different national unemployment rates, each under suitable controls, must be regarded as prohibitive.

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When the theory performs well you also think, “Are there parallel results in naturally occurring field data?” You look for coherence across different data sets because theories are not specific to particular data sources. Such extensions are important because theories often make specific assumptions about information and institutions which can be controlled in the laboratory, but which may not accurately represent field data generating situations. Testing theories on the domain of their assumptions is sterile unless it is part of a research program concerned with extending the domain of applications of theory to field environments

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