Loading...
research article
Choice Probability Generating Functions
This paper considers discrete choice, with choice probabilities coming from maximization of preferences from a random utility field perturbed by additive location shifters (ARUM). Any ARUM can be characterized by a choice-probability generating function (CPGF) whose gradient gives the choice probabilities, and every CPGF is consistent with an ARUM. We relate CPGF to multivariate extreme value distributions, and review and extend methods for constructing CPGF for applications. The choice probabilities of any ARUM may be approximated by a cross-nested logit model. The results for ARUM are extended to competing risk survival models.© 2013 Elsevier B.V.
Type
research article
Authors
Publication date
2013
Published in
Volume
8
Start page
1
End page
18
Peer reviewed
REVIEWED
EPFL units
Available on Infoscience
January 20, 2014
Use this identifier to reference this record