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A new random utility model with flexible correlation pattern and closed-form covariance expression: The CoRUM

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  • Papola, Andrea

Abstract

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.

Suggested Citation

  • Papola, Andrea, 2016. "A new random utility model with flexible correlation pattern and closed-form covariance expression: The CoRUM," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 80-96.
  • Handle: RePEc:eee:transb:v:94:y:2016:i:c:p:80-96
    DOI: 10.1016/j.trb.2016.09.008
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    5. Papola, Andrea & Tinessa, Fiore & Marzano, Vittorio, 2018. "Application of the Combination of Random Utility Models (CoRUM) to route choice," Transportation Research Part B: Methodological, Elsevier, vol. 111(C), pages 304-326.
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    7. Borja Alonso & Vittorio Astarita & Luigi Dell’Olio & Vincenzo Pasquale Giofrè & Giuseppe Guido & Marcella Marino & William Sommario & Alessandro Vitale, 2020. "Validation of Simulated Safety Indicators with Traffic Crash Data," Sustainability, MDPI, vol. 12(3), pages 1-22, January.
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