Title
Monotone Additive Statistics
Author(s)
Xiaosheng Mu Xiaosheng Mu (Princeton University)
Luciano Pomatto Luciano Pomatto (Caltech)
Philipp Strack Philipp Strack (Yale University)
Omer Tamuz Omer Tamuz (Caltech)
Abstract
The expectation is an example of a descriptive statistic that is monotone with respect to stochastic dominance, and additive for sums of independent random variables. We provide a complete characterization of such statistics, and explore a number of applications to models of individual and group decision-making. These include a representation of stationary, monotone time preferences, extending the work of Fishburn and Rubinstein (1982) to time lotteries, as well as a characterization of risk-averse preferences over monetary gambles that are invariant to mean-zero background risks.
Creation Date
2021-07
Section URL ID
Paper Number
2021-36
URL
https://uploads.strikinglycdn.com/files/54c7bf63-e4de-41fc-b585-64a53286b247/MAS.pdf
File Function
Jel
D81
Keyword(s)
statistics, decision-making
Suppress
false
Series
13