Network centrality is an important determinant of alliance performance. However, estimating how each alliance member's centrality affects alliance performance is challenging because the end market might value each partner's contribution differently. We solve this empirical question with a two‐sided matching model that accounts for the partners' endogenous selection and estimates the effect of each side's centrality and input quality on performance. We implement the method in the novel context of the Thoroughbred horse industry, in foal‐sharing alliances between buyers and suppliers. We find that buyer centrality has a larger marginal effect on the alliance performance than the supplier centrality because buyers, who on average are less central in our context, are more likely to diffuse valuable information to the end market.

中文翻译：

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当弱者强大时：联盟绩效的双向匹配方法

网络中心性是联盟绩效的重要决定因素。但是，估计每个联盟成员的中心地位如何影响联盟绩效具有挑战性，因为最终市场可能会不同地评估每个合作伙伴的贡献。我们用双向匹配模型解决了这个经验性问题，该模型考虑了合作伙伴的内生选择，并估计了双方的中心性和输入质量对绩效的影响。我们在纯种马业的新颖背景下，通过买卖双方之间的驹马共享联盟来实施该方法。我们发现，与以供应商为中心的情况相比，购买者的中心性对联盟绩效的边际影响更大，这是因为在我们的情况下，购买者的中心度通常较低，他们更可能将有价值的信息传播到最终市场。