Invariance of the distribution of the maximum
(English)Manuscript (preprint) (Other academic)
Many models in economics involve probabilistic choices where each decision-maker selects the best alternative from a finite set. Viewing the value of each alternative as a random variable, the analyst is then interested in the choice probabilities, that is, the probability for an alternative to give the maximum value. Much analytical power can be gained, both for positive and normative analysis, if the maximum value is statistically independent of which alternative obtains the highest value. This note synthesizes and generalizes previous results on this invariance property. We provide characterizations of this property within a wide class of distributions that comprises the McFadden GEV class, show implications in several directions, and establish connections with copulas. We illustrate the usefulness of the invariance property by way of a few examples.
choice, random utility, extreme value, leader-maximum, invariance, independence
IdentifiersURN: urn:nbn:se:kth:diva-164895OAI: oai:DiVA.org:kth-164895DiVA: diva2:806435
FunderKnut and Alice Wallenberg Foundation
QS 20152015-04-202015-04-202015-11-17Bibliographically approved