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The subsequent data from the DCE were analysed with mixed logit, using NLogit 5.0.
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This study highlights the importance of capturing the heterogeneity of driver preferences and recognizing potential correlations between the individual's choices using appropriate modeling techniques such as the mixed logit model used in this study.
Then, a mixed logit model was used to account for heterogeneity across respondent preferences.
304 respondents participated in this survey and a mixed logit model was used to estimate the model of behavioural response.
The mixed logit framework was used for testing the effects of survey design features on respondents' preferences and scale.
Hensher et al. [25] present the results of a stated choice experiment, based on which the authors develop mixed logit models and use the model estimates to develop VoSL estimates for different road types.
Mixed logit models were used to analyze the data.
Mixed logit models were used to estimate stated preferences for these attributes.
Mixed logit regression was used to analyse the dependent variable choice and identify the relative importance of care attributes and the propensity to access care in each context.
Four generalized linear mixed logit models were used to model study outcomes health vulnerability (child chronic illness and disability) and social protection (birth registration and school attendance).
Using mixed logit models, we further show that labeling has a profound influence on stated preferences.
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