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Incentive ratio: A game theoretical analysis of market equilibria

  • Ning Chen
  • , Xiaotie Deng*
  • , Bo Tang
  • , Hongyang Zhang
  • , Jie Zhang
  • *Corresponding author for this work

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

2 Downloads (CityUHK Scholars)

Abstract

In a Fisher market, the market maker sells m products to n potential agents. The agents submit their utility functions and money endowments to the market maker, who, upon receiving submitted information, derives market equilibrium prices and allocations of the products. Agents are self-interested entities who wish to maximize their utility, and they may misreport their private information for this purpose. The incentive ratio characterizes the extent to which strategic plays can increase an agent's utility. While agents do benefit by misreporting their private information, we show that the ratio of improvement by a unilateral strategic play is no more than two in markets with gross substitute utilities for the agents. Moreover, it can be pinned down to e1/e ≈ 1.445 in Cobb-Douglas markets. For the Leontief markets in which products are complementary, we show that the incentive ratio is at most two as well. © 2022 The Author(s).
Original languageEnglish
Article number104875
Number of pages22
JournalInformation and Computation
Volume285
Issue numberPart B
Online published22 Feb 2022
DOIs
Publication statusPublished - May 2022
Externally publishedYes

Funding

Xiaotie Deng was partially supported by Science and Technology Innovation 2030 “New Generation Artificial Intelligence” Major Project No. (2018AAA0100901) and by the NSFC-ISF joint research program (grant No: NSFC-ISF 61761146005). Jie Zhang was supported by a Research Project Grant from The Leverhulme Trust .

Research Keywords

  • Fisher market
  • Incentive ratio
  • Market equilibrium

Publisher's Copyright Statement

  • This full text is made available under CC-BY-NC-ND 4.0. https://creativecommons.org/licenses/by-nc-nd/4.0/

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