Linear-in-Parameters Logit Model Derived from the Efficiency Principle
The linear-in-parameters logit model is a discrete choice model which can be derived in many ways, e.g. by the additive random utility maximizing approach. It can also be derived from the efficiency principle. The efficiency approach offers a new way of testing the model against observations. This paper derives the linear-inparameters logit model from the efficiency principle and shows how the basic efficiency assumption, and hence the linear-in-parameters logit model, can be tested against observations.
KeywordsLogit Model Choice Probability Travel Demand Observable Quantity Negative Entropy
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