Strategies, heuristics, and the relevance of risk-aversion in a dynamic decision problem
In this paper a complex decision problem where subjects have to cope with a time horizon of uncertain duration and must update their termination probabilities which depend on stochastic events during “life” is considered. First it is described how economic theory suggests to solve the decision probl...
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Published in | Journal of economic psychology Vol. 22; no. 4; pp. 493 - 522 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
Amsterdam
Elsevier B.V
01.08.2001
Elsevier Science Elsevier Elsevier Sequoia S.A |
Series | Journal of Economic Psychology |
Subjects | |
Online Access | Get full text |
ISSN | 0167-4870 1872-7719 |
DOI | 10.1016/S0167-4870(01)00049-6 |
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Abstract | In this paper a complex decision problem where subjects have to cope with a time horizon of uncertain duration and must update their termination probabilities which depend on stochastic events during “life” is considered. First it is described how economic theory suggests to solve the decision problem. But since real decision makers can hardly be expected to behave according to the theoretical solution in the problem at hand, several heuristics or rules of thumb are described and their theoretical performance investigated. Then observed behavior and the way how people tackled the problem are described. In the second part of the paper I discuss how much of the data can be explained by assuming that experimental subjects are risk-averse. |
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AbstractList | In this paper a complex decision problem where subjects have to cope with a time horizon of uncertain duration and must update their termination probabilities which depend on stochastic events during “life” is considered. First it is described how economic theory suggests to solve the decision problem. But since real decision makers can hardly be expected to behave according to the theoretical solution in the problem at hand, several heuristics or rules of thumb are described and their theoretical performance investigated. Then observed behavior and the way how people tackled the problem are described. In the second part of the paper I discuss how much of the data can be explained by assuming that experimental subjects are risk-averse. A complex decision problem where subjects have to cope with a time horizon of uncertain duration and must update their termination probabilities which depend on stochastic events during life is considered. It is described how economic theory suggests to solve the decision problem. But since real decision makers can hardly be expected to behave according to the theoretical solution in the problem at hand, several heuristics or rules of thumb are described and their theoretical performance investigated. Then observed behavior and the way people tackled the problem are described. How much of the data can be explained by assuming that experimental subjects are risk-averse is discussed. |
Author | Müller, Wieland |
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Keywords | Risk aversion Backward induction Heuristics 2340 C91 D90 D81 Dynamic decision making Human Uncertainty Economic theory Decision making Problem solving Strategy Cognition |
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SubjectTerms | Backward induction Biological and medical sciences Cognition. Intelligence Decision makers Decision making Decision making. Choice Dynamic decision making Economic theory Economics Fundamental and applied biological sciences. Psychology Heuristic Heuristics Individual behaviour Probability Psychology Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology Research subjects Risk Risk aversion Stochastic processes Studies Termination |
Title | Strategies, heuristics, and the relevance of risk-aversion in a dynamic decision problem |
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