Simplifying choice through attribute preservation or non-attendance: Implications for willingness to pay

By David A. Hensher, John M. Rose. 2009

139 citations recorded by the source corpus.

Subfields: Economics and Econometrics, General Decision Sciences, Transportation

View Paper: https://www.semanticscholar.org/paper/a37406dc73e923f086850182f888bc463df12951

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Citations in the corpus

Non-attendance to attributes in environmental choice analysis: a latent class specification (2011, background): “The empirical evidence herein reinforces the evidence presented in Campbell et al. (2008), Hensher (2008), Hensher and Rose (2009), Scarpa et al. (2009) and Layton and Hensher (2010), that failure to identify and account for process heterogeneity tends to result in over- or under-estimates of the…”
Attending to the Reasons for Attribute Non-attendance in Choice Experiments (2011, background): “In contrast, Hensher and Rose (2009) find that taking attribute non-attendance behaviour into account leads to increasing WTP for travel time savings, though still slightly improving the fit of the model.”
Skew and attribute non-attendance within the bayesian mixed logit model (2011, unknown): “Several studies probabilistically allow for non-attendance without the need for self reported indicators ([3, 10, 13, 21]).”
Stated and inferred attribute non-attendance in a design of designs approach (2014, methodology): “…of the scale parameter based on attribute processing strategies Better model fit, lower WTP and different scale parameters when accounting for ANA Hensher and Rose (2009) Mixed Logit Individual-level 0- utility weights Better model fit and higher WTP when accounting for ANA Scarpa et al.…”
Inferring attribute non-attendance from stated choice data: implications for willingness to pay estimates and a warning for stated choice experiment design (2012, background): “Hess and Rose (2007), Hensher and Greene (2010) and Campbell et al.”
Contemporary Guidance for Stated Preference Studies (2017, background): “Systematic conjectures (Hensher and Rose 2009; Hensher and Layton 2010), selective inattention (Scarpa et al. 2009; Balcombe, Burton, and Rigby 2011; Balcombe, Fraser, and McSorley 2015), and sequencing effects are some of the potential anomalies that may arise as respondents attempt to deal with…”
Non-attendance and dual processing of common-metric attributes in choice analysis: a latent class specification (2010, background): “The first is attribute non-attendance, where a specific attribute and its associated level are ignored by a respondent when evaluating alternative attribute packages (see Hensher et al. 2005; Scarpa et al. 2008; Hensher and Rose 2009).”
Bayesian optimal designs for discrete choice experiments with partial profiles (2011, background): “levels of just one attribute or a small subset of the attributes (see, e.g., Hensher 2006; Hensher and Rose 2009; Scarpa et al. 2009).”