Non-attendance and dual processing of common-metric attributes in choice analysis: a latent class specification

By David A. Hensher, William H. Greene. 2010

216 citations recorded by the source corpus.

Subfields: Economics and Econometrics, General Decision Sciences, Marketing

View Paper: https://www.semanticscholar.org/paper/5480e0811a6a0c12186268a255cefab9526f7ca5

How researchers see this paper

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

In Economics and Econometrics

In General Decision Sciences

In Marketing

Citations in the corpus

Non-attendance to attributes in environmental choice analysis: a latent class specification (2011, methodology): “A latent class model is specified, similar to Hensher and Greene ( 2009 ), in which specific restrictions are imposed on the utility expressions for each attribute attendance class, to represent hypotheses on group adoption of pre-defined processing strategies.”
Stated and inferred attribute non-attendance in a design of designs approach (2014, background): “Thirdly, there is also an increase in literature raising the – still unanswered – question of the reliability of complementary questions regarding non-attendance (Hensher and Rose, 2009; Hensher and Greene, 2010).”
Attending to the Reasons for Attribute Non-attendance in Choice Experiments (2011, background): “They also find improved goodness-of-fit when accounting for non-attendance, and they further argue that this leads to more appropriate estimates of the WTP. Similarly, Hensher and Greene (2010) specify a LCM and find a model with better fit when accounting for attribute process heterogeneity.”
Ordering effects and choice set awareness in repeat-response stated preference studies (2012, background): “For example, always choosing the option with the lowest cost or highest level of a particular attribute [23,26].”
Discrete Choice Experiments: A Guide to Model Specification, Estimation and Software (2017, background): “The mWTP measures can be conditioned on observed choices to obtain individual-level estimates of mWTP; see, for example, Hole [30] and Greene and Hensher [56].”
Attribute Processing, Heuristics, and Preference Construction in Choice Analysis (2009, methodology): “This was brought to my attention after completing the paper by Hensher and Greene (2008).”
It’s not that I don’t care, I just don’t care very much: confounding between attribute non-attendance and taste heterogeneity (2013, methodology): “A key role in this context was played by the early discussions in Hess and Rose (2007), who proposed the use of a latent class approach to accommodate attribute nonattendance, a method since adopted by numerous other studies (e.g. Hensher et al., 2012; Scarpa et al., 2009; Hensher and Greene, 2010; ”
Latent class structures: taste heterogeneity and beyond (2014, methodology): “Hess et al. (2012) use the model to allow for mixtures between random utility maximisation, random regret minimisation and elimination by aspects. In later work, Hess and Stathopoulos (2012) use an approach as in Walker and Ben-Akiva (2002) and Hess et al. (2013a), making the class allocation a func”