The Generalized Multinomial Logit Model: Accounting for Scale and Coefficient Heterogeneity
UNSW Sydney · University of Technology Sydney · +1 more institution
Abstract
The mixed or heterogeneous multinomial logit (MIXL) model has become popular in a number of fields, especially marketing, health economics, and industrial organization. In most applications of the model, the vector of consumer utility weights on product attributes is assumed to have a multivariate normal (MVN) distribution in the population. Thus, some consumers care more about some attributes than others, and the IIA property of multinomial logit (MNL) is avoided (i.e., segments of consumers will tend to switch among the subset of brands that possess their most valued attributes). The MIXL model is also appealing because it is relatively easy to estimate. Recently, however, some researchers have argued that…
Citation impact
- FWCI
- 120.68
- Percentile
- 100%
- References
- 50
Authors
4Topics & keywords
- Multinomial logistic regression
- Econometrics
- Mixed logit
- Multinomial probit
- Scale (ratio)
- Akaike information criterion
- Multinomial distribution
- Logit