On Conjoint Analysis and Quantal Choice Models

1980 ◽  
Vol 53 (S3) ◽  
pp. S37 ◽  
Author(s):  
Albert Madansky
10.1068/a3267 ◽  
2000 ◽  
Vol 32 (5) ◽  
pp. 805-816 ◽  
Author(s):  
Donggen Wang ◽  
Harmen Oppewal ◽  
Harry Timmermans

Information overload is a well-known problem of conjoint choice models when respondents have to evaluate a large number of attributes and/or attribute levels. In this paper we develop an alternative conjoint modelling approach, called pairwise conjoint analysis. It differs from conventional conjoint choice and preference models in that the attributes of choice alternatives or choice contexts are not varied simultaneously, but in pairs. Properties of the design strategy are discussed. The new approach is illustrated by using activity engagement choice as an example.


2010 ◽  
pp. 297-315
Author(s):  
Joachim Giesen ◽  
Klaus Mueller ◽  
Bilyana Taneva ◽  
Peter Zolliker

2006 ◽  
Author(s):  
Robert D. Pritchard ◽  
Melissa J. Sargent ◽  
Deborah DiazGranados ◽  
Neal W. Schmitt

2018 ◽  
Vol 1 (1) ◽  
pp. 21-37
Author(s):  
Bharat P. Bhatta

This paper analyzes and synthesizes the fundamentals of discrete choice models. This paper alsodiscusses the basic concept and theory underlying the econometrics of discrete choice, specific choicemodels, estimation method, model building and tests, and applications of discrete choice models. Thiswork highlights the relationship between economic theory and discrete choice models: how economictheory contributes to choice modeling and vice versa. Keywords: Discrete choice models; Random utility maximization; Decision makers; Utility function;Model formulation


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