Empirical identification in the mixed logit model: analysing the effect of data richness
E Cherchi, J de Dios Ortúzar - Networks and Spatial Economics, 2008 - Springer
The flexible structure of the mixed logit (ML) model is at the root of the difficulties associated
to its estimation. Major problems are parameter identification and the distinction between …
to its estimation. Major problems are parameter identification and the distinction between …
On the estimation of mixed logit models
G Godoy, J Ortúzar - Transportation Research Trends, 2008 - books.google.com
Abstract The Mixed Logit model is quickly becoming the dominant discrete choice modelling
tool, due to its capacity to incorporate flexible error structures allowing to model complex …
tool, due to its capacity to incorporate flexible error structures allowing to model complex …
Recovery of inter-and intra-personal heterogeneity using mixed logit models
Most applications of discrete choice models in transportation now utilise a random
coefficient specification, such as mixed logit, to represent taste heterogeneity. However, little …
coefficient specification, such as mixed logit, to represent taste heterogeneity. However, little …
The random coefficients logit model is identified
The random coefficients multinomial choice logit model, also known as the mixed logit, has
been widely used in empirical choice analysis for the last thirty years. We prove that the …
been widely used in empirical choice analysis for the last thirty years. We prove that the …
[图书][B] Distributional assumptions in mixed logit models
S Hess, JW Polak, K Axhausen - 2005 - academia.edu
The characterisation of taste heterogeneity in discrete choice models has been an area of
intense research activity in recent years. Although the underlying theory imposes few …
intense research activity in recent years. Although the underlying theory imposes few …
The mixed logit model: the state of practice
DA Hensher, WH Greene - Transportation, 2003 - Springer
The mixed logit model is considered to be the most promising state of the art discrete choice
model currently available. Increasingly researchers and practitioners are estimating mixed …
model currently available. Increasingly researchers and practitioners are estimating mixed …
[图书][B] The mixed logit model: The state of practice and warnings for the unwary
DA Hensher, WH Greene - 2002 - pages.stern.nyu.edu
The mixed logit model is considered to be the most promising state of the art discrete choice
model currently available. Increasingly researchers and practitioners are estimating mixed …
model currently available. Increasingly researchers and practitioners are estimating mixed …
Allowing for intra-respondent variations in coefficients estimated on repeated choice data
Partly as a result of the increasing reliance on Stated Choice (SC) data, the vast majority of
discrete choice modelling applications are now estimated on data containing multiple …
discrete choice modelling applications are now estimated on data containing multiple …
Mixed logit model performance and distributional assumptions: preferences and GM foods
Using mixed logit models to analyse choice data is common but requires ex ante
specification of the functional forms of preference distributions. We make the case for greater …
specification of the functional forms of preference distributions. We make the case for greater …
[PDF][PDF] The impact of varying the number of repeated choice observations on the mixed multinomial logit model
JM Rose, S Hess, MCJ Bliemer, A Daly - European Transport Conference …, 2009 - Citeseer
Analysts increasingly make use the Mixed Multinomial Logit (MMNL) model to allow for
random variations in sensitivities across respondents. The improvements resulting from this …
random variations in sensitivities across respondents. The improvements resulting from this …