The Slicing Method: Determining Insensitivity Regions of Probability Weighting Functions

被引:0
作者
Egozcue, Martin [1 ,2 ,3 ]
Garcia, Luis Fuentes [4 ]
Zitikis, Ricardas [5 ,6 ]
机构
[1] Univ Montevideo, Dept Econ, Montevideo 11600, Uruguay
[2] Catholic Univ Uruguay, Campus Punta Este, Montevideo, Uruguay
[3] Norte Construcciones SA, Punta Del Este, Uruguay
[4] Univ A Coruna, Dept Math, La Coruna, Spain
[5] Western Univ, Sch Math & Stat Sci, London, ON N6A 5B7, Canada
[6] York Univ, Risk & Insurance Studies Ctr, Toronto, ON M3J 1P3, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Behavioural economics; Probability weighting function; Subadditivity; Likelihood insensitivity; Probabilistic insensitivity; CUMULATIVE PROSPECT-THEORY; PARAMETER-FREE ELICITATION; EXPECTED UTILITY; DECISION; PREFERENCE; ATTITUDES; CHOICE; SHAPE;
D O I
10.1007/s10614-022-10252-8
中图分类号
F [经济];
学科分类号
02 ;
摘要
A popular rule of thumb, usually called "heuristic technique" in Behavioral Economics, for determining the likelihood insensitivity regions of probability weighting functions (pwf's) is based on searching for points at which the pwf's are twice their values at half the points. Although this technique works remarkably well for many commonly used pwf's, it sometimes fails to provide the correct answer. In order to cover the class of pwf's for which the heuristic technique does not work, in this paper we propose, discuss, and illustrate an extension of the technique into what we call the "slicing method," which is capable of finding the subadditivity and insensitivity regions of any continuous pwf.
引用
收藏
页码:1369 / 1402
页数:34
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