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Willingness-to-Pay Estimation with Mixed Logit Models

Some New Evidence

Bibliographic Data

ID4140645
AuthorsMauricio Sillano (Pontificia Universidad Católica de Chile, corresponding author), Juan De Dios Ortúzar (0000-0003-3452-3574, Pontificia Universidad Católica de Chile, corresponding author)
Year2005
Volume37
Issue3
Pages525-550
Publication date2005-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironment and Planning A Economy and Space (JOURNAL)
Journal identifiersISSN: 0308-518X • E-ISSN: 1472-3409
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1068/a36137
OpenAlexW2087797173
LanguageEN
Citations received36
References cited33

Mixed-logit models are currently the state of the art in discrete-choice modelling, and their estimation in various forms (in particular, mixing revealed-preference and stated-preference data) is becoming increasingly popular. Although the theory behind these models is fairly simple, the practical problems associated with their estimation with empirical data are still relatively unknown and certainly not solved to everybody's satisfaction. In this paper we use a stated-preference dataset-previously used to derive willingness to pay for reduction in atmospheric pollution and subjective values of time-to estimate random parameter mixed logit models with different estimation methods. We use our results to discuss in some depth the problems associated with the derivation of willingness to pay with this class of models

Discrete choice · Econometrics · Economics · Estimation · Logistic regression · Logit · Microeconomics · Mixed logit · Preference · Revealed preference · Statistics · Willingness to pay · Computer Science · Decision-Making and Behavioral Economics · Economic and Environmental Valuation · Mathematics · Transportation Planning and Optimization · Artificial Intelligence

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Unique citing works36
Citations per year1,71
Citation span2005 - 2026 (22)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 34

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