Data dispersion near the boundaries: can it partially explain the problems of decision and utility theories?
Alexander Harin ()
Working Papers from HAL
An 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.
Keywords: data; behavior; rational; risk; noise; decision; utility (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-exp, nep-spo and nep-upt
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