Does scale heterogeneity across individuals matter? An empirical assessment of alternative logit models

268 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Can scale and coefficient heterogeneity be separated in random coefficients models? (2012, methodology): “The above reasoning implies that recent work aimed at providing separate and uncorrelated stochastic treatments of ‘scale’ and ‘taste sensitivities’ (e.g. Fiebig et al., 2010; Greene and Hensher, 2010; Hess and Rose, 2010) ignores the existence of the the scale/taste sensitivity confound.”
Revealing additional dimensions of preference heterogeneity in a latent class mixed multinomial logit model (2013, methodology): “…choice modelling over the last 10 years has been centred on the mixed logit model, and more recently on extensions of mixed logit to incorporate scale heterogeneity and estimation in willingness to pay space (see, for example, Train and Weeks, 2005; Fiebig et al., 2010; Greene and Hensher, 2010).”
Consumer willingness to pay for traditional food products (2016, background): “As for the socio-economic interaction terms, experience, income, and the level of education seem to significantly influence consumer preferences and WTP.”
Correlation and scale in mixed logit models (2017, background): “(2010), Greene and Hensher (2010). Starting with utility expressed in (6), the authors S.”