A large class of strategy-proof exchange rules with single-peaked preferences
We study the classical house exchange problem (Shapley and Scarf (1974)) and identified a large class of rules, each of which is strategy-proof, efficient, and individually rational with single-peaked preferences. These rules are generalisations of Gale’s top trading cycles rule: In each step a subs...
Saved in:
Main Author: | |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2018
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/soe_research/2176 https://ink.library.smu.edu.sg/context/soe_research/article/3167/viewcontent/Exchange_rules_on_single_peaked_domains.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
id |
sg-smu-ink.soe_research-3167 |
---|---|
record_format |
dspace |
spelling |
sg-smu-ink.soe_research-31672019-05-20T14:17:40Z A large class of strategy-proof exchange rules with single-peaked preferences LIU, Peng We study the classical house exchange problem (Shapley and Scarf (1974)) and identified a large class of rules, each of which is strategy-proof, efficient, and individually rational with single-peaked preferences. These rules are generalisations of Gale’s top trading cycles rule: In each step a subset of houses are allowed to be traded along top trading cycles and in particular, the next step subset of trading houses may depend on the exchanges happened already. We believe that the flexibility introduced by this class of rules is desirable when the designer faces some context-specific requirements. 2018-02-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/soe_research/2176 https://ink.library.smu.edu.sg/context/soe_research/article/3167/viewcontent/Exchange_rules_on_single_peaked_domains.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Economics eng Institutional Knowledge at Singapore Management University Top trading cycles strategy-proof single-peaked Economic Theory |
institution |
Singapore Management University |
building |
SMU Libraries |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
SMU Libraries |
collection |
InK@SMU |
language |
English |
topic |
Top trading cycles strategy-proof single-peaked Economic Theory |
spellingShingle |
Top trading cycles strategy-proof single-peaked Economic Theory LIU, Peng A large class of strategy-proof exchange rules with single-peaked preferences |
description |
We study the classical house exchange problem (Shapley and Scarf (1974)) and identified a large class of rules, each of which is strategy-proof, efficient, and individually rational with single-peaked preferences. These rules are generalisations of Gale’s top trading cycles rule: In each step a subset of houses are allowed to be traded along top trading cycles and in particular, the next step subset of trading houses may depend on the exchanges happened already. We believe that the flexibility introduced by this class of rules is desirable when the designer faces some context-specific requirements. |
format |
text |
author |
LIU, Peng |
author_facet |
LIU, Peng |
author_sort |
LIU, Peng |
title |
A large class of strategy-proof exchange rules with single-peaked preferences |
title_short |
A large class of strategy-proof exchange rules with single-peaked preferences |
title_full |
A large class of strategy-proof exchange rules with single-peaked preferences |
title_fullStr |
A large class of strategy-proof exchange rules with single-peaked preferences |
title_full_unstemmed |
A large class of strategy-proof exchange rules with single-peaked preferences |
title_sort |
large class of strategy-proof exchange rules with single-peaked preferences |
publisher |
Institutional Knowledge at Singapore Management University |
publishDate |
2018 |
url |
https://ink.library.smu.edu.sg/soe_research/2176 https://ink.library.smu.edu.sg/context/soe_research/article/3167/viewcontent/Exchange_rules_on_single_peaked_domains.pdf |
_version_ |
1770574123873861632 |