The Dual Theory of Choice under Risk

对偶(语法数字) 经济 数理经济学 计量经济学 计算机科学 数学 哲学 语言学
作者
Menahem E. Yaari
出处
期刊:Econometrica [Wiley]
卷期号:55 (1): 95-95 被引量:2490
标识
DOI:10.2307/1911158
摘要

IN THIS ESSAY, a new theory of choice under risk is being proposed. It is a theory which, in a sense that will become clear, is to expected utility theory, hence the title dual Risky prospects are evaluated in this theory by a cardinal numerical scale which resembles an expected utility, except that the roles of payments and probabilities are reversed. This theme-the reversal of the roles of probabilities and payments-will recur throughout the paper. I should emphasize that playing games, with probabilities masquerading as payments and payments masquerading as probabilities, is not my object. Rather, I hope to convince the reader that the theory has intrinsic economic significance and that, in some areas, its predictions are superior to those of expected utility theory (while in other areas the reverse will be the case). Two reasons have prompted me to look for an alternative to expected utility theory. The first reason is methodological: In expected utility theory, the agent's attitude towards risk and the agent's attitude towards wealth are forever bonded together. At the level of fundamental principles, risk aversion and diminishing marginal utility of wealth, which are synonymous under expected utility theory, are horses of different colors. The former expresses an attitute towards risk (increased uncertainty hurts) while the latter expresses an attitude towards wealth (the loss of a sheep hurts more when the agent is poor than when the agent is rich). A question arises, therefore, as to whether these two notions can be kept separate from each other in a full-fledged theory of cardinal utility. The theory will have this property. The second reason that leads me to look for an alternative to expected utility theory is empirical: Behavior patterns which are systematic, yet inconsistent with expected utility theory, have often been observed. (Two prominent references, among many others, are Allais (1953) and Kahneman-Tversky (1979).) So deeply
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
七七丫完成签到,获得积分10
刚刚
李健应助烈阳采纳,获得10
1秒前
可爱的函函应助Addy采纳,获得10
1秒前
是是是完成签到,获得积分10
1秒前
李健应助核桃采纳,获得10
1秒前
传奇3应助核桃采纳,获得10
1秒前
科研通AI5应助淡定草丛采纳,获得10
1秒前
耍酷的汲发布了新的文献求助10
1秒前
余晖霞光发布了新的文献求助10
1秒前
2秒前
俊逸湘发布了新的文献求助10
2秒前
bkagyin应助健忘的海莲采纳,获得10
2秒前
今后应助lynne采纳,获得30
2秒前
爆米花应助毕业顺利采纳,获得10
2秒前
树枝发布了新的文献求助10
2秒前
贺静怡发布了新的文献求助30
2秒前
田様应助风想随心采纳,获得10
3秒前
4秒前
4秒前
科研通AI5应助ming采纳,获得10
5秒前
5秒前
彭于彦祖应助朴实的面包采纳,获得20
5秒前
望除应助ZS0901采纳,获得10
5秒前
asdfas完成签到 ,获得积分20
5秒前
乐乐应助sdl采纳,获得10
6秒前
栗子完成签到,获得积分10
7秒前
jimskylxk发布了新的文献求助10
8秒前
8秒前
科研通AI5应助二十五采纳,获得10
8秒前
zp完成签到,获得积分20
10秒前
Selonfer完成签到,获得积分10
10秒前
10秒前
阿喵发布了新的文献求助10
11秒前
MX应助复杂的从彤采纳,获得10
11秒前
12秒前
三七二一完成签到,获得积分10
13秒前
13秒前
Groot完成签到,获得积分20
13秒前
俊逸湘完成签到,获得积分10
15秒前
15秒前
高分求助中
Applied Survey Data Analysis (第三版, 2025) 800
Assessing and Diagnosing Young Children with Neurodevelopmental Disorders (2nd Edition) 700
Images that translate 500
Algorithmic Mathematics in Machine Learning 500
Handbook of Innovations in Political Psychology 400
Mapping the Stars: Celebrity, Metonymy, and the Networked Politics of Identity 400
Nucleophilic substitution in azasydnone-modified dinitroanisoles 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3842227
求助须知:如何正确求助?哪些是违规求助? 3384336
关于积分的说明 10534304
捐赠科研通 3104803
什么是DOI,文献DOI怎么找? 1709801
邀请新用户注册赠送积分活动 823377
科研通“疑难数据库(出版商)”最低求助积分说明 774048