Enhanced measurement equations for latent class choice models

Integrating psychometric indicators in latent class choice models allows to enhance the characterization of the latent classes. In this research, we consider measurement equations that include socio-economic indicators of the decision-makers. We show that such a specification increases the significance of the parameters relative to the class-membership relation and leads to a better interpretability of the behavior of individuals in the latent classes. The method is applied to a transportation mode choice case study in Switzerland.


Presented at:
Eighth workshop on discrete choice models, EPFL, Lausanne, Switzerland, May 31, 2013
Year:
2013
Laboratories:




 Record created 2014-01-20, last modified 2018-03-17

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