Revolutionizing Discrete Response Analysis with Mixed MNL Models
The article discusses using mixed multinomial logit models to analyze choices people make. The researchers found that these models can closely approximate choice probabilities in various situations. They also developed methods to estimate the models and test their accuracy. By applying this approach to a study on vehicle preferences, they showed that mixed multinomial logit models are flexible and practical for analyzing discrete choices.