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Dynamic price sequence and incentive compatibility (extended abstract)

  • Ning Chen
  • , Xiaotie Deng
  • , Xiaoming Sun
  • , Andrew Chi Chih Yao
  • Fudan University
  • City University of Hong Kong
  • Tsinghua University

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Scopus citations

Abstract

We introduce and study a new auction model in which a certain type of goods is offered over a period of time, and buyers arrive at different times and stay until a common deadline (unless their purchase requests have been fulfilled). We examine in this model incentive compatible auction protocols (i.e., those that induce participants to bid their true valuations). We establish an interesting connection between incentive compatibility and price sequence: incentive compatibility forces a non-decreasing price sequence under some assumptions on market pricing schemes. We should point out that negation of our assumptions would require market distortions to some extent. Our protocol may not ensure that one item must be sold everyday. Imposing such a market intervention, we show an impossibility result that deterministic incentive compatible auction protocols do not exist. With randomized relaxation, we give such an incentive compatible auction protocol. We also discuss incentive compatible protocols under other market conditions.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsJosep Díaz, Juhani Karhumäki, Arto Lepistö, Donald Sannella
PublisherSpringer Verlag
Pages320-331
Number of pages12
ISBN (Print)3540228497
DOIs
StatePublished - 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3142
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

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