Monotone Additive Statistics (avec Xiaosheng Mu, Philipp Strack et Luciano Pomatto)
Séminaire de microéconomie 2020-2021
conjoint avec le Département de sciences économiques, Université de Montréal
Responsable : Sean Horan (U. de Montréal)
* Sur invitation seulement. Veuillez contacter le responsable si vous souhaitez y accéder.
RÉSUMÉ : A statistic is a mapping from bounded random variables to real numbers. We characterize all statistics that are monotone with respect to first-order stochastic dominance, and are additive for sums of independent random variables. We explore a number of applications, including a representation of dynamically-consistent, monotone time preferences, generalizing Fishburn and Rubinstein (1982), and a characterization of posted prices for risks.