Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5127146 | Transportation Research Part B: Methodological | 2016 | 17 Pages |
â¢A new RUM with a cdf obtained as a finite mixture of cdfs.â¢Choice probabilities and covariances obtainable as mixtures of choice probabilities and covariances of the mixing models.â¢By mixing NL models new RUMs are obtained with closed form expressions of choice probabilities, covariances and elasticities.â¢A new RUM easy to estimate which perform very well in terms of both in-sample and out-of-sample goodness of fit tests.â¢Compact ad hoc specification for route choice able to easily target the expected route choice correlation pattern.
This paper proposes a new random utility model characterised by a cumulative distribution function (cdf) obtained as a finite mixture of different cdfs. This entails that choice probabilities, covariances and elasticities of this model are also a finite mixture of choice probabilities, covariances and elasticities of the mixing models. As a consequence, by mixing nested logit cdfs, a model is generated with closed-form expressions for choice probabilities, covariances and elasticities and with, potentially, a very flexible correlation pattern. Importantly, the closed-form covariance expression opens up interesting application possibilities in some special choice contexts, like route choice, where prior expectations in terms of the covariance matrix can be formulated.