On path independent stochastic choice
成果类型:
Article
署名作者:
Ahn, David S.; Echenique, Federico; Saito, Kota
署名单位:
University of California System; University of California Berkeley; California Institute of Technology
刊物名称:
THEORETICAL ECONOMICS
ISSN/ISSBN:
1555-7561
DOI:
10.3982/TE2653
发表日期:
2018-01-01
页码:
61-85
关键词:
Luce model
stochastic choice
logit model
path independence
摘要:
We investigate stochastic choice when only the average and not the entire distribution of choices is observable, focusing attention on the popular Luce model. Choice is path independent if it is recursive, in the sense that choosing from a menu can be broken up into choosing from smaller submenus. While an important property, path independence is known to be incompatible with continuous choice. The main result of our paper is that a natural modification of path independence, which we call partial path independence, is not only compatible with continuity, but ends up characterizing the ubiquitous Luce (or logit) rule.
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