Mechanisms for Trading Durable Goods

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    We consider trading indivisible and easily transferable durable goods, which are goods that an agent can receive, use, and trade again for a different good. This is often the case with books that can be read and later exchanged for unread ones. Other examples of such easily transferable durable goods include puzzles, video games and baby clothes. We introduce a model for the exchange of easily transferable durable goods. In our model, each agent owns a set of items and demands a different set of items. An agent is interested in receiving as many items as possible from his demand set. We consider mechanisms that exchange items in cycles in which each participating agent receives an item that he demands and gives an item that he owns. We aim to develop mechanisms that have the following properties: they are efficient, in the sense that they maximize the total number of items that agents receive from their demand set, they are strategyproof (i.e., it is in the agents’ best interest to report their preferences truthfully) and they run in polynomial time. One challenge in developing mechanisms for our setting is that the supply and demand sets of the agents are updated after a trade cycle is executed. This makes constructing strategyproof mechanisms in our model significantly different from previous works, both technically and conceptually and requires developing new tools and techniques. We prove that simultaneously satisfying all desired properties is impossible and thus focus on studying the tradeoffs between these properties. To this end, we provide both approximation algorithms and impossibility results.

    Original languageEnglish
    Title of host publicationWeb and Internet Economics - 17th International Conference, WINE 2021, Proceedings
    EditorsMichal Feldman, Hu Fu, Inbal Talgam-Cohen
    PublisherSpringer Science and Business Media Deutschland GmbH
    Pages262-279
    Number of pages18
    ISBN (Print)9783030946753
    DOIs
    StatePublished - 1 Jan 2022
    Event17th International Conference on Web and Internet Economics, WINE 2021 - Virtual, Online
    Duration: 14 Dec 202117 Dec 2021

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume13112 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference17th International Conference on Web and Internet Economics, WINE 2021
    CityVirtual, Online
    Period14/12/2117/12/21

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • General Computer Science

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