English

A Note on the Gains from Trade of the Random-Offerer Mechanism

Computer Science and Game Theory 2021-11-16 v1

Abstract

We study the classic bilateral trade setting. Myerson and Satterthwaite show that there is no Bayesian incentive compatible and budget-balanced mechanism that obtains the gains from trade of the first-best mechanism. Consider the random-offerer mechanism: with probability 12\frac{1}{2} run the \emph{seller-offering} mechanism, in which the seller offers the buyer a take-it-or-leave-it price that maximizes the expected profit of the seller, and with probability 12\frac{1}{2} run the \emph{buyer-offering} mechanism. Very recently, Deng, Mao, Sivan, and Wang showed that the gains from trade of the random-offerer mechanism is at least a constant factor of 18.230.121\frac 1 {8.23}\approx 0.121 of the gains from trade of the first best mechanism. Perhaps a natural conjecture is that the gains-from-trade of the random-offerer mechanism, which is known to be at least half of the gains-from-trade of the second-best mechanism, is also at least half of the gains-from-trade of the first-best mechanism. However, in this note we exhibit distributions such as the gains-from trade of the random-offerer mechanism is smaller than a 0.4950.495-fraction of the gains-from-trade of the first-best mechanism.

Keywords

Cite

@article{arxiv.2111.07790,
  title  = {A Note on the Gains from Trade of the Random-Offerer Mechanism},
  author = {Moshe Babaioff and Shahar Dobzinski and Ron Kupfer},
  journal= {arXiv preprint arXiv:2111.07790},
  year   = {2021}
}