A Class of Random Utility Models Generating the Exploded Logit
Karim Kilani ()
Additional contact information
Karim Kilani: LIRSA - Laboratoire interdisciplinaire de recherche en sciences de l'action - Cnam - Conservatoire National des Arts et Métiers [Cnam]
Working Papers from HAL
Abstract:
We reexamine a family of distributions in random utility models introduced by David Strauss, which generates ranking probabilities consistent with the exploded logit model, thus implying the multinomial logit model for the choice probabilities. We explore the necessary and sufficient conditions for its validity within copula theory, a robust analytical framework. By specifying minimal assumptions required for the support of the marginal utility distributions, we clarify and reinforce the fundamental structure of the model, demonstrating that it is based on strict archimedean copulas. Additionally, we provide a new mathematical proof by induction confirming that these utility distributions indeed generate the exploded logit model.
Keywords: Exploded Logit Model; Multinomial Logit Model; Ranking Probabilities; Random Utility Models JEL Classification: C25; D01; Archimedean Copulas Choice Probabilities Copula Theory Exploded Logit Model Multinomial Logit Model Ranking Probabilities Random Utility Models JEL Classification: C25 D01; Archimedean Copulas; Choice Probabilities; Copula Theory (search for similar items in EconPapers)
Date: 2024-09-21
Note: View the original document on HAL open archive server: https://cnam.hal.science/hal-04704755v1
References: Add references at CitEc
Citations:
Downloads: (external link)
https://cnam.hal.science/hal-04704755v1/document (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hal:wpaper:hal-04704755
Access Statistics for this paper
More papers in Working Papers from HAL
Bibliographic data for series maintained by CCSD ().