© 2015 Elsevier Ltd. The concept of a consideration set has become a central concept in the study of consumer behavior. This paper shows that the common practice of estimating models using only the set of alternatives deemed to be in the set considered by a consumer will usually result in estimated parameters that are biased due to a sample selection effect. This effect is generic to many consideration set models and can be large in practice. To overcome this problem, models of an antecedent volition process that defines consideration will effectively need to incorporate the selection mechanism used for inclusion of choice alternatives in the consideration set
In designing choice experiments, it is common to present a number of alternatives to a respondent an...
Research in discrete choice modelling techniques has taken for granted the effects of choice set siz...
We derive revealed preference tests for models where individuals use consideration sets to simplify ...
© 2015 Elsevier Ltd. The concept of a consideration set has become a central concept in the study of...
Consideration sets have become a central concept in the study of consumer behavior. Frequently, cons...
The notion of a consideration set describing a subset of brands from which an individual consumer wi...
textabstractWe propose a new method to model consumers' consideration and choice processes. We devel...
Standard choice models are based on the assumption that respondents examine all attributes and all a...
In this paper the authors propose an integrated consideration set-brand choice model that is capable...
Consumers often have to create consideration sets when purchasing goals are not well defined. In the...
In this paper the authors propose an integrated consideration set-brand choice model that is capable...
We model consideration set formation involving non-compensatory screening rules. Rather than choosin...
This paper considers at the preference information contained in choice set membership. As would be e...
Preference are not static, and individuals make relative comparisons between the alternatives availa...
The authors propose a new model to capture unobserved consideration from discrete choice data. This ...
In designing choice experiments, it is common to present a number of alternatives to a respondent an...
Research in discrete choice modelling techniques has taken for granted the effects of choice set siz...
We derive revealed preference tests for models where individuals use consideration sets to simplify ...
© 2015 Elsevier Ltd. The concept of a consideration set has become a central concept in the study of...
Consideration sets have become a central concept in the study of consumer behavior. Frequently, cons...
The notion of a consideration set describing a subset of brands from which an individual consumer wi...
textabstractWe propose a new method to model consumers' consideration and choice processes. We devel...
Standard choice models are based on the assumption that respondents examine all attributes and all a...
In this paper the authors propose an integrated consideration set-brand choice model that is capable...
Consumers often have to create consideration sets when purchasing goals are not well defined. In the...
In this paper the authors propose an integrated consideration set-brand choice model that is capable...
We model consideration set formation involving non-compensatory screening rules. Rather than choosin...
This paper considers at the preference information contained in choice set membership. As would be e...
Preference are not static, and individuals make relative comparisons between the alternatives availa...
The authors propose a new model to capture unobserved consideration from discrete choice data. This ...
In designing choice experiments, it is common to present a number of alternatives to a respondent an...
Research in discrete choice modelling techniques has taken for granted the effects of choice set siz...
We derive revealed preference tests for models where individuals use consideration sets to simplify ...