Data dispersion near the boundaries: can it partially explain the problems of decision and utility theories?
AbstractAn existence theorem for a bias of the mean in the presence of data dispersion is proved. The ultimate aims are to use this theorem to explain the well-known problems of utility and decision theories, such as risk aversion, the underweighting of high and the overweighting of low probabilities, the Allais paradox, etc. The results may be used to estimate preferences, choices, decisions, (ir)rational behavior at data uncertainty, noises and experimental errors in experiments interpretation, probability theory, statistics, management, finance, investment, insurance, etc.
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Date of creation: 11 Aug 2013
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data; behavior; rational; risk; noise; decision; utility;
This paper has been announced in the following NEP Reports:
- NEP-ALL-2013-08-16 (All new papers)
- NEP-EXP-2013-08-16 (Experimental Economics)
- NEP-SPO-2013-08-16 (Sports & Economics)
- NEP-UPT-2013-08-16 (Utility Models & Prospect Theory)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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