An existence theorem for bounds (restrictions) on the expectation of a random variable. Its opportunities for utility and prospect theories
Alexander Harin
MPRA Paper from University Library of Munich, Germany
Abstract:
An existence theorem is proved for the case of a discrete random variable with finite support. If the random variable takes on values in a finite interval and there is a lower non-zero bound on its dispersion, then non-zero bounds (or non-zero “forbidden zones”) on its expectation exist near the borders of the interval. The theorem can be used in utility and prospect theories, in particular, in the analysis of Prelec’s probability weighting function.
Keywords: probability theory; dispersion; scatter; scattering; noise; economics; utility theory; prospect theory; decision theories; human behavior; Prelec; probability weighting function (search for similar items in EconPapers)
JEL-codes: C1 D8 D81 (search for similar items in EconPapers)
Date: 2015-09-16
New Economics Papers: this item is included in nep-dcm and nep-upt
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:66692
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