Abstract
What is a fair way to assign rooms to several housemates, and divide the rent between them? This is not just a theoretical question: many people have used the Spliddit website to obtain envy-free solutions to rent division instances. But envy freeness, in and of itself, is insufficient to guarantee outcomes that people view as intuitive and acceptable. We therefore focus on solutions that optimize a criterion of social justice, subject to the envy freeness constraint, in order to pinpoint the "fairest" solutions. We develop a general algorithmic framework that enables the computation of such solutions in polynomial time. We then study the relations between natural optimization objectives, and identify the maximin solution, which maximizes the minimum utility subject to envy freeness, as the most attractive. We demonstrate, in theory and using experiments on real data from Spliddit, that the maximin solution gives rise to significant gains in terms of our optimization objectives. Finally, a user study with Spliddit users as subjects demonstrates that people find the maximin solution to be significantly fairer than arbitrary envy-free solutions; this user study is unprecedented in that it asks people about their real-world rent division instances. Based on these results, the maximin solution has been deployed on Spliddit since April 2015.
Original language | English |
---|---|
Title of host publication | EC 2016 - Proceedings of the 2016 ACM Conference on Economics and Computation |
Publisher | Association for Computing Machinery, Inc |
Pages | 67-84 |
Number of pages | 18 |
ISBN (Electronic) | 9781450339360 |
DOIs | |
State | Published - 21 Jul 2016 |
Externally published | Yes |
Event | 17th ACM Conference on Economics and Computation, EC 2016 - Maastricht, Netherlands Duration: 24 Jul 2016 → 28 Jul 2016 |
Publication series
Name | EC 2016 - Proceedings of the 2016 ACM Conference on Economics and Computation |
---|
Conference
Conference | 17th ACM Conference on Economics and Computation, EC 2016 |
---|---|
Country/Territory | Netherlands |
City | Maastricht |
Period | 24/07/16 → 28/07/16 |
Bibliographical note
Funding Information:This work was supported by EU FP7 FET project, grant agreement n.600854; by the National Science Foundation under grants IIS-1350598, CCF-1215883, and CCF-1525932; and by a Sloan Research Fellowship.
Funding
This work was supported by EU FP7 FET project, grant agreement n.600854; by the National Science Foundation under grants IIS-1350598, CCF-1215883, and CCF-1525932; and by a Sloan Research Fellowship.
Funders | Funder number |
---|---|
National Science Foundation | CCF-1525932, CCF-1215883, IIS-1350598 |
Seventh Framework Programme | 600854 |
Keywords
- Computational fair division