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Stability of Mixed Logit Parameter Estimation

HKIE Transactions, 2008
The mixed logit model is a class of non-IIA discrete choice models that can handle correlation among the alternatives. Although they have been frequently applied in choice analysis, properties of their parameter estimates are not well known. The mixed logit estimation exercise on simulated data sets in this study offers examples of identification ...
Nakai Shusaku, Kitamura Ryuichi
openaire   +1 more source

Mixed Logit Analysis of International Airline Choice

Transportation Research Record: Journal of the Transportation Research Board, 2009
Mixed logit models were used to investigate air passengers’ choices of international carriers. The stated preference experiments were designed on the basis of eight service attributes of airlines (i.e., airfare, preferred departure time, flight frequency, punctuality, check-in service, on-board food service, cabin service, and seat space).
Chieh-Hua Wen   +2 more
openaire   +1 more source

Estimating nonparametric mixed Logit Models via EM algorithm [PDF]

open access: possible, 2010
The aim of this paper is to describe a Stata routine for the nonparametric estimation of mixed logit models with an Expectation-Maximisation algorithm proposed in Train (2008).
openaire   +2 more sources

Mixed Logit Models for Multiparty Elections

Political Analysis, 2001
Mixed logit (MXL) is a general discrete choice model thus far unexamined in the study of multicandidate and multiparty elections. Mixed logit assumes that the unobserved portions of utility are a mixture of an IID extreme value term and another multivariate distribution selected by the researcher. This general specification allows MXL to avoid imposing
openaire   +1 more source

EBPs Under Unit-Level Logit Mixed Models

2020
The binomial-logit mixed models are generalized linear mixed models for dichotomous or counting variables that take into account the between domains variability, that is not explained through auxiliary variables, by introducing random effects. For fitting the model, this chapter describes the method of simulated moments, the EM and the ML-Laplace ...
Domingo Morales   +3 more
openaire   +1 more source

Setting prices in mixed logit model designs

Marketing Letters, 2015
We investigate different procedures to set prices in designs for choice-based conjoint analysis using the mixed logit model which captures latent consumer heterogeneity. Besides discrete attributes, we include a linear price term in the deterministic utility function thereby treating price as continuous variable.
Andreas Falke, Harald Hruschka
openaire   +1 more source

Tourists Return Intentions: A Mixed Logit Approach

2012
Why and how tourists decide to revisit the same destination is a topic that still deserves further research. This is the aim of this paper that examine return behavioural intentions of tourists, considering motivations, trip characteristics, and disentangling nationalities and individual characteristics to account for the heterogeneity of tourists. The
Antónia Correia, Pedro Pimpão
openaire   +1 more source

Mixed multinomial logit model

2004
Le modèle logit à coefficients aléatoires est le modèle le plus prometteur parmi les modèles de choix discrets. Il généralise le modèle logit multinomial standard et utilise des méthodes de simulation pour l'estimation du modèle. De plus, il permet d'estimer la distribution des propensions marginales à payer.
openaire   +1 more source

Organic mixed conductors for bioinspired electronics

Nature Reviews Materials, 2023
Paschalis Gkoupidenis   +2 more
exaly  

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