A latent class model for discrete choice analysis: contrasts with mixed logit

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

1,965 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Transportation

View Paper: https://www.semanticscholar.org/paper/b8c09f6672fe9a8b1d4ad6b49b63406256f8deee

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Citations in the corpus

Willing to participate in vehicle-to-grid (V2G)? Why not! (2018, positive): “The parameters 𝛽 and 𝜃 were estimated with NLOGIT5: LCLOGIT; (Greene and Hensher, 2003)).”
Latent lifestyle preferences and household location decisions (2007, neutral): “The issues of measurement error and endogeneity in regression are covered in many econometric textbooks (see, for example, Greene 2003), and issues of endogeneity and measurement error in discrete choice analysis are becoming more prominent in the literature (see, for example, Louviere et al. 2005,…”
The design of agri-environmental schemes: Farmers’ preferences in southern Spain (2015, background): “LCM is a mixed logit model with a discrete distribution of parameters, well suited to the task of considering respondents’ preference heterogeneity and revealing its causes (Greene and Hensher, 2003).”
Importance of health and environment as quality traits in the buying decision of organic products (2009, methodology): “In this procedure, individuals are implicitly sorted into a set of Q classes, but which class contains any particular individual, whether known or not to that individual, is unknown to the analyst (Greene and Hensher, 2002).”
Latent class structures: taste heterogeneity and beyond (2014, methodology): “Aside from providing further detail relating to the general structure, notably in terms of the correlation structure findings of Hess et al. (2009), a key focus of the present chapter is to look at important developments in latent class models since the work by Greene and Hensher (2003).”
Latent class model or mixed logit model? A comparison by transport mode choice data (2009, methodology): “Although our results are consistent with those concluded from Greene and Hensher (2003), which claims that the LCM is supported by stronger statistical behaviours than the MLM in their dataset, we caution that it still cannot make this evidence as a conclusive suggestion that the LCM is…”
What’s in a name? The use of quantitative measures versus ‘Iconised’ species when valuing biodiversity (2008, methodology): “Recent advances in the use of Mixed Logit models (Hensher and Greene 2003) and the latent-class models are relevant tools of analysis to this end (Boxall and Adamowicz 2002; Greene and Hensher 2003; Scarpa and Thiene 2005; Morey et al. 2006, Louviere 2006).”
Public Preferences for Carbon Tax Attributes (2015, methodology): “The LC model can be interpreted as a semiparametric version of the ML model because the analyst does not need to make any distributional assumptions on the distributions of the random parameters (Greene and Hensher, 2003).”
Destination Choice Models for Rock Climbing in the Northeastern Alps: A Latent-Class Approach Based on Intensity of Preferences (2005, methodology): “In the results we choose to present here, we have adopted the approach documented in Hensher and Greene (2003) and Kamakura and Mazzon (1991).”
Valuing genetic resources in peasant economies: the case of ‘hairless’ creole pigs in Yucatan (2003, methodology): “These models originated in market research (Swait, 1994) and have been employed in choice modelling of wilderness recreation (Boxall and Adamowitz, 2002), in the travel cost literature (Provencher et al., 2002), and in choice models of transportation (Greene and Hensher, 2002).”
Urban freight, parking and pricing policies: An evaluation from a transport providers’ perspective (2015, background): “The typical way of allowing for variations in behavior across respondents is to incorporate taste heterogeneity via the systematic component of utility assuming either continuous or discrete mixture structure (e.g. Greene and Hensher, 2003; Hess et al., 2005).”