Fair Division Minimizing Inequality

10/09/2018
by   Martin Aleksandrov, et al.
0

Behavioural economists have shown that people are often averse to inequality and will make choices to avoid unequal outcomes. In this paper, we consider how to allocate indivisible goods fairly so as to minimize inequality. We consider how this interacts with axiomatic properties such as envy-freeness, Pareto efficiency and strategy-proofness. We also consider the computational complexity of computing allocations minimizing inequality. Unfortunately, this is computationally intractable in general so we consider several tractable greedy online mechanisms that minimize inequality. Finally, we run experiments to explore the performance of these methods.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/29/2020

Strategy-proofness, Envy-freeness and Pareto efficiency in Online Fair Division with Additive Utilities

We consider fair division problems where indivisible items arrive one-by...
research
06/29/2020

Expected Outcomes and Manipulations in Online Fair Division

Two simple and attractive mechanisms for the fair division of indivisibl...
research
06/29/2020

Monotone and Online Fair Division

We study a new but simple model for online fair division in which indivi...
research
07/01/2023

On the Complexity of Robust Eventual Inequality Testing for C-Finite Functions

We study the computational complexity of a robust version of the problem...
research
11/06/2018

A sharp inequality for Kendall's τ and Spearman's ρ of Extreme-Value Copulas

We derive a new (lower) inequality between Kendall's tau? and Spearman's...
research
07/20/2018

A Theil-like Class of Inequality Measures, its Asymptotic Normality Theory and Applications

In this paper, we consider a coherent theory about the asymptotic repres...
research
11/05/2021

Occupational Income Inequality of Thailand: A Case Study of Exploratory Data Analysis beyond Gini Coefficient

Income inequality is an important issue that has to be solved in order t...

Please sign up or login with your details

Forgot password? Click here to reset