Satisficing and stochastic choice
成果类型:
Article
署名作者:
Aguiar, Victor H.; Boccardi, Maria Jose; Dean, Mark
署名单位:
Western University (University of Western Ontario); New York University; New York University Abu Dhabi; Columbia University
刊物名称:
JOURNAL OF ECONOMIC THEORY
ISSN/ISSBN:
0022-0531
DOI:
10.1016/j.jet.2016.08.008
发表日期:
2016
页码:
445-482
关键词:
Satisficing
stochastic choice
bounded rationality
search
random utility
摘要:
Satisficing is a hugely influential model of boundedly rational choice, yet it cannot be easily tested using standard choice data. We develop necessary and sufficient conditions for stochastic choice data to be consistent with satisficing, assuming that preferences are fixed, but search order may change randomly. The model predicts that stochastic choice can only occur amongst elements that are always chosen, while all other choices must be consistent with standard utility maximization. Adding the assumption that the probability distribution over search orders is the same for all choice sets makes the satisficing model a subset of the class of random utility models. (C) 2016 Published by Elsevier Inc.