A flexible class of discrete choice models

A flexible class of discrete choice models

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Article ID: iaor1988869
Country: United States
Volume: 7
Issue: 3
Start Page Number: 232
End Page Number: 251
Publication Date: Jun 1988
Journal: Marketing Science
Authors: ,
Keywords: marketing, decision theory, statistics: decision
Abstract:

In this paper the authors propose a flexible class of discrete choice models. These models are flexible in that members of this class can approximate any discrete choice model obtained from utility maximization. All members of this class are intuitively easy to understand, consistent with utility maximization and do not suffer from the ‘independence of irrelevant alternatives’ problem. In addition, there are members of this class for which maximum likelihood is a feasible estimation method even when the number of alternatives and/or attributes is large. Furthermore, appropriateness of specific functional forms can be explored graphically. The authors examine the properties of this class intuitively, theoretically, and in an empirical example.

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