In the current paper, we compare alternative approaches to incorporating uncertainty into the statistical analysis of dichotomous choice responses. In doing so, first we employ previous modelling techniques that included uncertainty of preferences, and secondly we compare the obtained results with those coming from a novel approach here developed, a finite mixture model. The finite mixture model is a very flexible framework used to deal with preference uncertainty. Our case study uses data gathered in the Prestige oil spill valuation study from Spain
Allowing for variations in behaviour across respondents is one of the most fundamental principles in...
Data from choice experiments are analyzed using choice models. Proper modeling allows a good underst...
In decision making problems under uncertainty, Mean Variance Model (MVM) consistent with Expected Ut...
In the current paper, we compare alternative approaches to incorporating uncertainty into the statis...
Abstract: In the current paper, we compare alternative approaches to incorporating uncertainty into ...
This paper presents a generalization of a mixture model used for the analysis of ratings and prefere...
In CUB models the uncertainty of choice is explicitly modelled as a Combination of discrete Uniform ...
This paper is concerned with estimating preference functionals for choice under risk from the choice...
In classical mixture models for ordinal data with an uncertainty component the uniform distribution ...
A mixture model for preferences data, which adequately represents the composite nature of the elicit...
This paper considers the performance a model of mixture normal distributions for dichotomous choice ...
This paper considers the performance a model of mixture normal distributions for dichotomous choice ...
In CUB models the uncertainty of choice is explicitly modelled as a Combination of discrete Uniform ...
Uncertainty aversion is often modelled as (strict) quasi-concavity of preferences over uncertain act...
Econometric modelling of decision uncertainty has received extensive attention in the contingent val...
Allowing for variations in behaviour across respondents is one of the most fundamental principles in...
Data from choice experiments are analyzed using choice models. Proper modeling allows a good underst...
In decision making problems under uncertainty, Mean Variance Model (MVM) consistent with Expected Ut...
In the current paper, we compare alternative approaches to incorporating uncertainty into the statis...
Abstract: In the current paper, we compare alternative approaches to incorporating uncertainty into ...
This paper presents a generalization of a mixture model used for the analysis of ratings and prefere...
In CUB models the uncertainty of choice is explicitly modelled as a Combination of discrete Uniform ...
This paper is concerned with estimating preference functionals for choice under risk from the choice...
In classical mixture models for ordinal data with an uncertainty component the uniform distribution ...
A mixture model for preferences data, which adequately represents the composite nature of the elicit...
This paper considers the performance a model of mixture normal distributions for dichotomous choice ...
This paper considers the performance a model of mixture normal distributions for dichotomous choice ...
In CUB models the uncertainty of choice is explicitly modelled as a Combination of discrete Uniform ...
Uncertainty aversion is often modelled as (strict) quasi-concavity of preferences over uncertain act...
Econometric modelling of decision uncertainty has received extensive attention in the contingent val...
Allowing for variations in behaviour across respondents is one of the most fundamental principles in...
Data from choice experiments are analyzed using choice models. Proper modeling allows a good underst...
In decision making problems under uncertainty, Mean Variance Model (MVM) consistent with Expected Ut...