We empirically question the commonly invoked assumption of normality of taste distribution in mixed logit models with continuous random parameters. We use a WTP-space random utility discrete choice model with flexible distributions on data from two choice experiments regarding beef with nested set of quality attributes. We specifically focus on distributional features such as asymmetry, multi-modality and range of variation, and find little support for normality. Our results are robust to attribute dimensionality in experimental design. Implications of our results for practitioners in the field are discussed
The structure of consumer taste heterogeneity in discrete choice demand models is important, as it d...
Understanding and accommodating heterogeneity in variance (also referred to as heteroscedasticity) a...
There is growing interest in establishing a mechanism to account for scale heterogeneity across indi...
Heterogeneous tastes across consumers can be captured by random coefficients in a mixed logit (ML) m...
Analyses of data from random utility models of choice data have typically used fixed parameter repre...
We examine the effects of adding an independent food attribute on consumers’ willingness to pay (WTP...
Using mixed logit models to analyse choice data is common but requires ex ante specification of the ...
This paper reports the findings of a systematic study using Monte Carlo experiments and a real datas...
This paper reports the findings of a systematic study using Monte Carlo experiments and a real datas...
A number of authors have discussed the possible advantages of conditioning parameter distributions o...
In this paper, we investigate consumer preferences for various environmentally friendly production s...
Reflecting growing interest from both consumers and policymakers and building on recent developments...
In this paper, we investigate consumer preferences for various environmentally friendly production s...
Understanding consumers’ willingness-to-pay (WTP) value is vital for rational valuation of consumers...
Contingent valuation (CV), choice experiment (CE) and experimental auction (EA) or the combinations ...
The structure of consumer taste heterogeneity in discrete choice demand models is important, as it d...
Understanding and accommodating heterogeneity in variance (also referred to as heteroscedasticity) a...
There is growing interest in establishing a mechanism to account for scale heterogeneity across indi...
Heterogeneous tastes across consumers can be captured by random coefficients in a mixed logit (ML) m...
Analyses of data from random utility models of choice data have typically used fixed parameter repre...
We examine the effects of adding an independent food attribute on consumers’ willingness to pay (WTP...
Using mixed logit models to analyse choice data is common but requires ex ante specification of the ...
This paper reports the findings of a systematic study using Monte Carlo experiments and a real datas...
This paper reports the findings of a systematic study using Monte Carlo experiments and a real datas...
A number of authors have discussed the possible advantages of conditioning parameter distributions o...
In this paper, we investigate consumer preferences for various environmentally friendly production s...
Reflecting growing interest from both consumers and policymakers and building on recent developments...
In this paper, we investigate consumer preferences for various environmentally friendly production s...
Understanding consumers’ willingness-to-pay (WTP) value is vital for rational valuation of consumers...
Contingent valuation (CV), choice experiment (CE) and experimental auction (EA) or the combinations ...
The structure of consumer taste heterogeneity in discrete choice demand models is important, as it d...
Understanding and accommodating heterogeneity in variance (also referred to as heteroscedasticity) a...
There is growing interest in establishing a mechanism to account for scale heterogeneity across indi...