The Mixed Logit model: The state of practice

By David A. Hensher, William H. Greene. 2003

2,384 citations recorded by the source corpus.

Subfields: Economics and Econometrics, General Decision Sciences, Marketing

View Paper: https://www.semanticscholar.org/paper/9a5194a575f55cac8046c124143a758f3fbf5655

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Citations in the corpus

Accounting for heterogeneity in the variance of unobserved effects in mixed logit models (2006, background): “An increasing number of applications (e.g., Train, 2003; Hensher and Greene, 2003) have built this heterogeneity into the means of the distributions of the random parameters, and all but a very few studies, by Bhat1, have treated the conditional variances of these distributions as constants.”
Evidence on the distribution of values of travel time savings from a six-week diary (2004, positive): “Although faster methods have been proposed: quasi Monte Carlo maximum simulated likelihood (Bhat, 2001), variable sample size strategy (Bastin et al. 2003), solving the simulated problem can be very time consuming, as experienced by Hensher and Greene, 2003.”
Assuring finite moments for willingness to pay in random coefficient models (2009, positive): “Hensher and Greene 2003; Hess et al. 2005), rather than the possibility of non-existence of moments for WTP distributions. Although this possibility is known at least to some researchers, many authors continue to use the normal and other unsatisfactory distributions, and as a result produce misleadi”
Analysing the determinants of performance of best and worst European banks: A mixed logit approach (2007, background): “Other studies have transformed performance indicators into discrete outcomes: for instance, Jaggia and Thosar (2004) transform cumulative market-adjusted return into a discrete variable.”
Willingness to Pay for Multiple Seafood Labels in a Niche Market (2014, methodology): “Jaffry et al. (2004) investigated consumer preferences for seafood labeling in the United Kingdom, finding that ecolabels had the greatest effect on product choice but that origin and mode of production labels also influenced seafood preferences. A choice experiment conducted by Olesen et al. (2010)”
Choosing Between Internet and Mail Survey Modes for Choice Experiment Surveys Considering Non-Market Goods (2009, methodology): “However, this approach might be too simple as it implies taking the point estimates as given and ignoring the sampling variance in these (Hensher and Greene 2003; Hensher et al. 2005).”
On the use of a Modified Latin Hypercube Sampling (MLHS) method in the estimation of a Mixed Logit Model for vehicle choice (2006, methodology): “For a discussion of the risks involved, and on guidance for which approach should be used, see for example Train and Sonnier (2003), Hensher and Greene (2001), Hess and Polak (2004) and Hess et al. (2004) .”