| Article ID: | iaor20164668 |
| Volume: | 63 |
| Issue: | 3 |
| Start Page Number: | 512 |
| End Page Number: | 526 |
| Publication Date: | Jun 2015 |
| Journal: | Operations Research |
| Authors: | Kohli Rajeev, Jedidi Kamel |
| Keywords: | simulation, behaviour, marketing, statistics: regression |
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.