Mixed Logit (or Logit Kernel) Model: Dispelling Misconceptions of Identification
By Joan L. Walker. 2002
111 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Transportation
View Paper: https://www.semanticscholar.org/paper/8ae1ad379d135ac1b7f18c1efbb62b6ee32a8f41
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Chandra R. Bhat
- Ricardo A. Daziano
- Denis Bolduc
- Elisabetta Cherchi
- Juan Dios Ortúzar
- Subodh K. Dubey
- Naveen Eluru
- Stephane Hess
In Transportation
- Chandra R. Bhat
- Ricardo A. Daziano
- Denis Bolduc
- Juan Dios Ortúzar
- Elisabetta Cherchi
- Naveen Eluru
- Sabreena Anowar
- L. Miranda-Moreno
Citations in the corpus
- The multiple discrete-continuous extreme value (MDCEV) model : Role of utility function parameters, identification considerations, and model extensions (2008, methodology): “…be inappropriate if the “true” variance of one or more alternatives is less 17 Strictly speaking, one can estimate all the five parameters (σ, ω1, ω2, ω3, and ω4) because of the difference in the extreme value distributions used for ζk and the normal distributions used for ηk (see Walker, 2002).”
- Income Segregation and Local Progressive Taxation: Empirical Evidence from Switzerland (2006, unknown): “10I also estimated mixed logit models (see McFadden and Train, 2000, Ben-Akiva et al., 2002, Hensher and Greene, 2001, Walker 2002).”
- Empirical Identification in the Mixed Logit Model: Analysing the Effect of Data Richness (2008, background): “Walker (2002) distinguishes between two types of identification: the theoretical identification, which is inherent to the model specification regardless of the data at hand, and the empirical identification that depends only on the information used to estimate the model.”
- Incorporating pro-environmental preferences towards green automobile technologies through a Bayesian hybrid choice model (2013, methodology): “to adopt a new technology), are related to individual heterogeneity ( taste variations ), reflect individual tastes, needs, values, goals and capabilities that develop over time, and are affected by knowledge, experience and external factors, such as the socioeconomic characteristics of the decision”