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Monotone Additive Statistics (with Xiaosheng Mu, Philipp Strack and Luciano Pomatto)

Microeconomics Seminar 2020-2021
joint with the Département de sciences économiques, Université de Montréal

Organizer : Sean Horan (U. of Montreal)

* Invitation only. Please contact the organizer if you would like access.


 
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.

 

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