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.
|Date of creation:||Apr 2012|
|Publication status:||published as Mogens Fosgerau & Daniel McFadden & Michel Bierlaire, 2013. "Choice probability generating functions," Journal of Choice Modelling, vol 8(), pages 1-18.|
|Contact details of provider:|| Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.|
Web page: http://www.nber.org
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