Random assignment of bundles

We propose a model studying the random assignments of bundles with no free disposal. The key difference between our model and the one where objects are allocated (see Bogomolnaia and Moulin (2001)) is one of feasibility. The implications of this difference are significant. Firstly, the characterizat...

Full description

Saved in:
Bibliographic Details
Main Authors: CHATTERJI, Shurojit, LIU, Peng
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2020
Subjects:
Online Access:https://ink.library.smu.edu.sg/soe_research/2429
https://ink.library.smu.edu.sg/context/soe_research/article/3428/viewcontent/Random_assignment_bundles_av.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-3428
record_format dspace
spelling sg-smu-ink.soe_research-34282021-01-07T13:34:00Z Random assignment of bundles CHATTERJI, Shurojit LIU, Peng We propose a model studying the random assignments of bundles with no free disposal. The key difference between our model and the one where objects are allocated (see Bogomolnaia and Moulin (2001)) is one of feasibility. The implications of this difference are significant. Firstly, the characterization of sd-efficient random assignments is more complex. Secondly, we are able to identify a preference restriction, called essential monotonicity, under which the random serial dictatorship rule (extended to the setting with bundles) is equivalent to the probabilistic serial rule (extended to the setting with bundles). This equivalence implies the existence of a rule on this restricted domain satisfying sd-efficiency, sd-strategy-proofness, and equal treatment of equals. Moreover, this rule only selects random assignments which can be decomposed as convex combinations of deterministic assignments. 2020-03-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/soe_research/2429 info:doi/10.1016/j.jmateco.2019.12.003 https://ink.library.smu.edu.sg/context/soe_research/article/3428/viewcontent/Random_assignment_bundles_av.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Economics eng Institutional Knowledge at Singapore Management University Random assignments Bundles Decomposability sd-efficiency sd-strategy-proofness Equal treatment of equals Economic Theory
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Random assignments
Bundles
Decomposability
sd-efficiency
sd-strategy-proofness
Equal treatment of equals
Economic Theory
spellingShingle Random assignments
Bundles
Decomposability
sd-efficiency
sd-strategy-proofness
Equal treatment of equals
Economic Theory
CHATTERJI, Shurojit
LIU, Peng
Random assignment of bundles
description We propose a model studying the random assignments of bundles with no free disposal. The key difference between our model and the one where objects are allocated (see Bogomolnaia and Moulin (2001)) is one of feasibility. The implications of this difference are significant. Firstly, the characterization of sd-efficient random assignments is more complex. Secondly, we are able to identify a preference restriction, called essential monotonicity, under which the random serial dictatorship rule (extended to the setting with bundles) is equivalent to the probabilistic serial rule (extended to the setting with bundles). This equivalence implies the existence of a rule on this restricted domain satisfying sd-efficiency, sd-strategy-proofness, and equal treatment of equals. Moreover, this rule only selects random assignments which can be decomposed as convex combinations of deterministic assignments.
format text
author CHATTERJI, Shurojit
LIU, Peng
author_facet CHATTERJI, Shurojit
LIU, Peng
author_sort CHATTERJI, Shurojit
title Random assignment of bundles
title_short Random assignment of bundles
title_full Random assignment of bundles
title_fullStr Random assignment of bundles
title_full_unstemmed Random assignment of bundles
title_sort random assignment of bundles
publisher Institutional Knowledge at Singapore Management University
publishDate 2020
url https://ink.library.smu.edu.sg/soe_research/2429
https://ink.library.smu.edu.sg/context/soe_research/article/3428/viewcontent/Random_assignment_bundles_av.pdf
_version_ 1770575488353304576