Heteroscedastic control for random coefficients and error components in mixed logit

By William H. Greene, David A. Hensher. 2007

198 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Transportation

View Paper: https://www.semanticscholar.org/paper/1608d27048acbf64b5c3e2878d9a152373a22468

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 Transportation

Citations in the corpus

Augmenting short Cheap Talk scripts with a repeated Opt-Out Reminder in Choice Experiment surveys (2014, background): “Thus, it captures any additional variance associated with the cognitive effort of evaluating experimentally designed hypothetical alternatives (Greene and Hensher 2007; Scarpa et al. 2007; Scarpa et al. 2008).”
A pooled RP/SP mode, route and destination choice model to investigate mode and user-type effects in the value of travel time savings (2019, background): “3 ηASC,i,n ∼ N(0, σ2 ASC,i) is an individual- and mode-specific random error component with mean zero and 4 standard deviation σASC,i, accounting for alternative-specific error variances and agent effects (e.g. Bhat, 5 1995; Greene and Hensher, 2007; Walker et al., 2007).”
Combining RP and SP data: biases in using the nested logit ‘trick’: contrasts with flexible mixed logit incorporating panel and scale effects (2008, methodology): “The full model with all components is given in (4), based on Greene and Hensher (2007).”
Handling respondent uncertainty in Choice Experiments: Evaluating recoding approaches against explicit modelling of uncertainty (2009, background): “Thus, it captures any additional unexplained variance associated with the cognitive effort of evaluating two experimentally designed hypothetical scenarios relative to a status quo scenario (Greene and Hensher, 2007; Scarpa et al., 2007; Ferrini and Scarpa, 2007; Scarpa et al., 2008).”
Emerging versus developed economy consumer willingness to pay for environmentally sustainable food production: a choice experiment approach comparing Indian, Chinese and United Kingdom lamb consumers (2016, background): “Preference heterogeneity is introduced in the individual specific random parameters for attributes (Greene and Hensher, 2007).”
Choosing Between Internet and Mail Survey Modes for Choice Experiment Surveys Considering Non-Market Goods (2009, background): “Thus, it captures any additional variance associated with the cognitive effort of evaluating experimentally designed hypothetical alternatives (Greene and Hensher 2007; Scarpa et al. 2007, 2008).”
Farmers' willingness to provide ecosystem services and effects of their spatial distribution (2013, background): “This error component reflects that there may be additional variance related to the two non-status quo alternatives, because it is cognitively more demanding for respondents to evaluate two complex alternatives in each choice set as opposed to the status quo (Ferrini and Scarpa, 2007; Greene and Hens”
Attending to the Reasons for Attribute Non-attendance in Choice Experiments (2011, background): “Thus, it captures any additional variance associated with the cognitive effort of evaluating experimentally designed hypothetical alternatives (Greene and Hensher 2007; Scarpa et al. 2007; Scarpa et al. 2008).”