On Matching and Thickness in Heterogeneous Dynamic Markets

On Matching and Thickness in Heterogeneous Dynamic Markets
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异质动态市场中的匹配与厚度

DOI:
10.2139/ssrn.3067596
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发表时间:
2016
期刊:
Proceedings of the 2016 ACM Conference on Economics and Computation
影响因子:
--
通讯作者:
V. Manshadi
V. Manshadi
中科院分区:
--
文献类型:
--
作者:
I. Ashlagi;Maximilien Burq;Patrick Jaillet;V. Manshadi

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我们研究了一个无限视界随机网络市场中的动态匹配问题,其中一些代理比其他代理先验地更难以匹配。代理具有基于兼容性的偏好,可以双边匹配,也可以通过链间接匹配。本文研究了在不同的难易匹配主体组成下,匹配技术和匹配政策对市场效率的影响。首先,我们分析了短视匹配政策,发现匹配技术驱动的市场厚度与效率之间存在很强的联系。我们表明,当“难以匹配”的代理商比“容易匹配”的代理商更频繁地加入市场时,从双边匹配到连锁的转变显著提高了效率。否则,双边匹配或通过链匹配的区别可以忽略不计。其次,我们证明了厚度的不足不能通过非短视的匹配政策来弥补,这意味着有效增厚市场的唯一途径是吸引更多的代理商。
We study dynamic matching in an infinite-horizon stochastic networked market, in which some agents are a priori more difficult to match than others. Agents have compatibility-based preferences and can match either bilaterally, or indirectly through chains. We study the effect matching technologies and matching policies have on efficiency in markets with different compositions of hard and easy-to-match agents. First, we analyze myopic matching policies and identify a strong connection between market thickness and the efficiency driven by the matching technology. We show that when "hard-to-match" agents join the market more frequently than "easy-to-match" ones, moving from bilateral matchings to chains significantly increases efficiency. Otherwise, the difference between matching bilaterally or through a chain is negligible. Second, we show that the lack of thickness cannot be compensated by non-myopic matching policies implying that the only way to thicken the market fruitfully is by attracting more agents.
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