Mixed logit

Mixed logit is a fully general statistical model for examining discrete choices. The motivation for the mixed logit model arises from the limitations… (More)
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Topic mentions per year

1997-2017
0102019972017

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Highly Cited
2004
Highly Cited
2004
The use of a joint normal distribution for partworths is computationally attractive, particularly with Bayesian MCMC procedures… (More)
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2003
2003
A mixed logit is specified with partworths that are transformations of normally distributed terms, including censored normals… (More)
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Highly Cited
2002
Highly Cited
2002
The multinomial logit model (MNL) has for many years provided the fundamental platform for the analysis of discrete choice. The… (More)
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2002
2002
A computationally attractive model for the analysis of conjoint choice experiments is the mixed multinomial logit model, a… (More)
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Review
2001
Review
2001
The mixed logit model is considered to be the most promising state of the art discrete choice model currently available… (More)
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Highly Cited
1999
Highly Cited
1999
The simulation variance in the estimation of mixed logit parameters is found, in our application, to be lower with 100 Halton… (More)
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Highly Cited
1999
Highly Cited
1999
This paper proposes the use of a quasi-random sequence for the estimation of the mixed multinomial logit model. The mixed… (More)
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1998
1998
In this paper we use mixed logit specifications to allow parameters to vary in the population when estimating the value of time… (More)
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Highly Cited
1997
Highly Cited
1997
  • David Revelt
  • 1997
Mixed logit models, also called random-parameters or errorcomponents logit, are a generalization of standard logit that do not… (More)
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Highly Cited
1997
Highly Cited
1997
We compare multinomial logit and mixed logit models for data on California households’ revealed and stated preferences for… (More)
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