2013
DOI: 10.1016/j.sbspro.2013.11.154
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Effect of Distributional Assumption of Random Parameters of Mixed Logit Model on Willingness-to-Pay Values

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Cited by 18 publications
(4 citation statements)
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“…The DCE data are analysed using the MXL model which is considered highly flexible and able to approximate any random utility model (McFadden and Train, 2000). Coefficients are considered randomly distributed across individuals (Ghosh et al , 2013). The MXL model has been used frequently in WTP studies for organic food (Van Loo et al , 2011; Janssen and Hamm, 2012) and is particularly valuable, requiring less restrictive behavioural assumptions than applied in conventional logit models (Illichmann and Abdulai, 2013; Balogh et al , 2016).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The DCE data are analysed using the MXL model which is considered highly flexible and able to approximate any random utility model (McFadden and Train, 2000). Coefficients are considered randomly distributed across individuals (Ghosh et al , 2013). The MXL model has been used frequently in WTP studies for organic food (Van Loo et al , 2011; Janssen and Hamm, 2012) and is particularly valuable, requiring less restrictive behavioural assumptions than applied in conventional logit models (Illichmann and Abdulai, 2013; Balogh et al , 2016).…”
Section: Methodsmentioning
confidence: 99%
“…The ASCs are dummy coded, and price is a continuous numeric variable, in GBP. A normal distribution for the random parameters is assumed allowing the distribution of the coefficient estimate without a strict sign (Ghosh et al , 2013; Yao et al , 2014), since certain attributes (e.g. GM and high acrylamide) may not provide positive utility in comparison to the status quo.…”
Section: Methodsmentioning
confidence: 99%
“…Table 7 reports WTP by subsamples based on heads of cattle (<10, and >=10) and farm size (<4 ha, and >=4 ha) that reflect the size of each production unit. We chose RPL1 following goodness-of-fit tests (see Ghosh et al, 2013). The findings are consistent across both subsamples.…”
Section: Willingness To Pay Estimatesmentioning
confidence: 96%
“…Also we have to know that the random parameters selected and their derived standard deviations should be significant or the model is meaningless. In the research of [30], they found MXL model with constrained triangular distribution(mean=spread) is superior to other models. Therefore, triangular distribution was chosen to be applied in this model.…”
Section: Mixed Logit Model (Random Parameters Logit Model)mentioning
confidence: 99%