Lune

STOC2024顶会

The Power of Two-Sided Recruitment in Two-Sided Markets

Yang Cai, Christopher Liaw, Aranyak Mehta, Mingfei Zhao

2024年份
1被引次数
2顶会引用

摘要

We consider the problem of maximizing the gains from trade (GFT) in two-sided markets. The seminal impossibility result by Myerson and Satterthwaite [MS83] shows that even for bilateral trade, there is no individually rational (IR), Bayesian incentive compatible (BIC) and budget balanced (BB) mechanism that can achieve the full GFT. Moreover, the optimal BIC, IR and BB mechanism that maximizes the GFT is known to be complex and heavily depends on the prior.

In this paper, we pursue a Bulow-Klemperer-style question, i.e., does augmentation allow for priorindependent mechanisms to compete against the optimal mechanism? Our first main result shows that in the double auction setting with m i.i.d. buyers and n i.i.d. sellers, by augmenting O(1) buyers and sellers to the market, the GFT of a simple, dominant strategy incentive compatible (DSIC), and priorindependent mechanism in the augmented market is at least the optimal in the original market, when the buyers' distribution first-order stochastically dominates the sellers' distribution. The mechanism we consider is a slight variant of the standard Trade Reduction mechanism due to McAfee [McA92]. For comparison, Babaioff, Goldner, and Gonczarowski [BGG20] showed that if one is restricted to augmenting only one side of the market, then n(m + 4 √ m) additional agents are sufficient for their mechanism to beat the original optimal and ⌊log 2 m⌋ additional agents are necessary for any priorindependent mechanism.

Next, we go beyond the i.i.d. setting and study the power of two-sided recruitment in more general markets. Our second main result is that for any ε > 0 and any set of O(1/ε) buyers and sellers where the buyers' value exceeds the sellers' value with constant probability, if we add these additional agents into any market with arbitrary correlations, the Trade Reduction mechanism obtains a (1ε)-approximation of the GFT of the augmented market. Importantly, the newly recruited agents are agnostic to the original market.

问问这篇 Paper

智能体会读完全文。

Lune 把这篇 Paper 索引到了最后一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。

可以从这些问题问起

智能体调用

Luneget_paper_fulltext

在 Lune 里问

免费开始,无需绑卡

lune papers fulltext ae1dab1c-e1f9-44ec-95f0-d7bd0e34dfe1

引用它的顶会 Paper2

问问它们各自怎么用它

它引用的顶会 Paper5

相关 Paper

黄昏的海面,两侧是细线勾勒的悬崖