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Linear-in-Parameters Logit Model Derived from the Efficiency Principle

  • Sven Erlander
Part of the Applied Optimization book series (APOP, volume 63)

Abstract

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.

Keywords

Logit Model Choice Probability Travel Demand Observable Quantity Negative Entropy 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 2002

Authors and Affiliations

  • Sven Erlander

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