Abstract
Under uncertainty, the economic agent is far from taking rational decisions, incurring in heuristics and cognitive errors such as reversal of preferences, focal points and so on. Many economists and psychologists have shown that the behavior of the decision maker in the real market is also driven by loss aversion and trust. The purpose of this study is to describe the experimental evidences that diverge from the standard economic decision theory, through a methodological review of the most significant laboratory techniques and field analysis performed in behavioral and experimental economics since the last quarter of the Twentieth Century.
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Liberatore, A. (2015). Decision Making under Uncertainty: A Methodological Note. In: Omatu, S., et al. Distributed Computing and Artificial Intelligence, 12th International Conference. Advances in Intelligent Systems and Computing, vol 373. Springer, Cham. https://doi.org/10.1007/978-3-319-19638-1_46
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DOI: https://doi.org/10.1007/978-3-319-19638-1_46
Publisher Name: Springer, Cham
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