Error Theory for Elimination by Aspects
成果类型:
Article
署名作者:
Kohli, Rajeev; Jedidi, Kamel
署名单位:
Columbia University
刊物名称:
OPERATIONS RESEARCH
ISSN/ISSBN:
0030-364X
DOI:
10.1287/opre.2015.1373
发表日期:
2015
页码:
512-526
关键词:
by-aspects model
choice behavior
摘要:
Elimination by aspects (EBA) is a random utility model that is considered to represent the choice process used by consumers more faithfully than logit and probit models. One limitation of the model is that it does not have a known error theory. We show that EBA can be derived by assuming that aspects have random utilities with independent, extreme value distributions. Multinomial logit and rank-ordered logit models are special cases of EBA.