The Temporary Exchange Problem

07/15/2018
by   Haris Aziz, et al.
0

We formalize an allocation model under ordinal preferences that is more general than the well-studied Shapley-Scarf housing market. In our model, the agents do not just care which house or resource they get but also care about who gets their own resource. This assumption is especially important when considering temporary exchanges in which each resource is eventually returned to the owner. We show that several positive axiomatic and computational results that hold for housing markets do not extend to the more general setting. We then identify natural restrictions on the preferences of agents for which several positive results do hold. One of our central results is a general class of algorithms that return any allocation that is individually rational and Pareto optimal with respect to the responsive set extension.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
04/30/2020

Stable Roommate Problem with Diversity Preferences

In the multidimensional stable roommate problem, agents have to be alloc...
research
06/06/2021

Individually Rational Land and Neighbor Allocation: Impossibility Results

We consider a setting in which agents are allocated land plots and they ...
research
09/25/2020

Pareto efficient combinatorial auctions: dichotomous preferences without quasilinearity

We consider a combinatorial auction model where preferences of agents ov...
research
06/24/2019

House Markets and Single-Peaked Preferences: From Centralized to Decentralized Allocation Procedures

Recently, the problem of allocating one resource per agent with initial ...
research
05/26/2019

Strategyproof Multi-Item Exchange Under Single-Minded Dichotomous Preferences

We consider multi-item exchange markets in which agents want to receive ...
research
12/27/2020

Approximate and Strategyproof Maximin Share Allocation of Chores with Ordinal Preferences

We initiate the work on maximin share (MMS) fair allocation of m indivis...
research
07/28/2023

Settling the Score: Portioning with Cardinal Preferences

We study a portioning setting in which a public resource such as time or...

Please sign up or login with your details

Forgot password? Click here to reset