In the choice experiment framework, it is assumed that respondents consider all the attributes when making their choices. However, there is evidence that respondents may not consider all the attributes. This study has proved that in our Choice Experiment survey evaluating public goods, there is significant correlation between the stated preferences declared in a continuous scale by the respondents and the parameter estimates inferred from the models. The correlation has been tested for the coefficient of variation estimated in a Random Parameter Logit and the probability of ignoring derived from a 2K latent class model
AbstractThe development of more realistic choice experiments has taken on board a number of suggesti...
This paper develops a reduced form method of controlling for differences in information sets of subj...
An increasing number of choice experiment studies has shown that not all respondents consider all at...
In the choice experiment framework, it is assumed that respondents consider all the attributes when ...
Data from a discrete choice experiment on improvements of rural landscape attributes are used to inv...
The opportunity to have seven data sets associated with a stated choice experiment that are very sim...
AbstractThere is an extensive and growing literature on the design and use of stated choice experime...
Results from paired comparison experiments suggest that as respondents progress through a sequence o...
The main objective of this study is to examine how repeated choice affects preference learning in st...
One debate in economics centres on consumers’ decision-making strategies and whether they should be ...
Models to analyse discrete choice data that account for heterogeneity in error variance (scale) acro...
A growing literature, mainly from transport and environment economics, has started to explore whethe...
The vast majority of discrete choice modelling (DCM) applications are now estimated on Stated Prefer...
Typical convergent validity tests of benefit transfer based on stated preference data assume that wi...
The vast majority of discrete choice modelling (DCM) applications are now estimated on Stated Prefer...
AbstractThe development of more realistic choice experiments has taken on board a number of suggesti...
This paper develops a reduced form method of controlling for differences in information sets of subj...
An increasing number of choice experiment studies has shown that not all respondents consider all at...
In the choice experiment framework, it is assumed that respondents consider all the attributes when ...
Data from a discrete choice experiment on improvements of rural landscape attributes are used to inv...
The opportunity to have seven data sets associated with a stated choice experiment that are very sim...
AbstractThere is an extensive and growing literature on the design and use of stated choice experime...
Results from paired comparison experiments suggest that as respondents progress through a sequence o...
The main objective of this study is to examine how repeated choice affects preference learning in st...
One debate in economics centres on consumers’ decision-making strategies and whether they should be ...
Models to analyse discrete choice data that account for heterogeneity in error variance (scale) acro...
A growing literature, mainly from transport and environment economics, has started to explore whethe...
The vast majority of discrete choice modelling (DCM) applications are now estimated on Stated Prefer...
Typical convergent validity tests of benefit transfer based on stated preference data assume that wi...
The vast majority of discrete choice modelling (DCM) applications are now estimated on Stated Prefer...
AbstractThe development of more realistic choice experiments has taken on board a number of suggesti...
This paper develops a reduced form method of controlling for differences in information sets of subj...
An increasing number of choice experiment studies has shown that not all respondents consider all at...