Customer-Specific Taste Parameters and Mixed Logit: Households' Choice of Electricity Supplier

By David Revelt, Kenneth Train. 2000

229 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/172f4339d661e47042f581c98219c0f1dfe13873

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Citations in the corpus

Global Production with Export Platforms (2016, unknown): “To my knowledge, Revelt and Train (2000) were the first to use such a procedure to infer information about the tastes of each sampled customer from the estimates of the distribution of tastes in the population with a nonlinear - mixed logit - discrete choice model.”
Transportation service bundling – For whose benefit? Consumer valuation of pure bundling in the passenger transportation market (2018, methodology): “However, this study must be taken with a grain of salt,23 as the survey techniques are untraceable from the report, and no statistical24 modelling was conducted.”
State dependence and heterogeneity in fishing location choice (2005, background): “For policy modeling, assigning individuals to a portion of the parameter distribution also poses problems, though some research on this subject is underway [32].”
Accounting for heterogeneity in the variance of unobserved effects in mixed logit models (2006, background): “One can construct estimates of ‘individual-specific preferences’ by deriving the conditional distribution based (within-sample) on known choices (i.e., prior knowledge), as originally shown by Revelt and Train (2000) (see also Train, 2003 chapter 11).”
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, methodology): “…R = 1000 draws), conditional on the observed sequence of choices and fitted VTTS distributions, by29 applying Bayes’ rule (Equation (20); see e.g. Revelt and Train, 2000; Hess et al., 2005; Sillano and Ortúzar,30 2005; Train, 2009; Schmid and Axhausen, 2017):31 ̂V TTSi,n = ∑Rr=1∏Tnt=1 P…”
Willingness to Pay for Energy Conservation and Free-Ridership on Subsidization: Evidence from Germany (2009, unknown): “We consequently follow Revelt and Train (2000) and Hensher and Greene (2003) in specifying b 1 and b 2 as triangular distributed.”
The state of the art of environmental valuation with discrete choice experiments (2010, background): “, 2009); (3) specifying heterogeneity in the error variance through a parameterization of the scale factor (Swait and Adamowicz, 2001; DeShazo and Fermo, 2002); and (4) individual-level discrete choice models, which avoid the need to specify a heterogeneity distribution (Huber and Train, 2001; Revel”
A Comparison of Hierarchical Bayes and Maximum Simulated Likelihood for Mixed Logit (2001, methodology): “If the researcher wants information about β n for the sampled people, the procedure described by Revelt and Train (2000) can be used.”