"Meet Me Halfway": The Costs and Benefits of Bargaining

Mark. Sci. Pub Date : 2021-09-01 DOI:10.1287/mksc.2021.1296
Xu Zhang, Puneet Manchanda, Junhong Chu
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引用次数: 13

Abstract

Bargaining is an important pricing mechanism, prevalent in both online and offline markets. However, there is little empirical work documenting the costs and benefits of bargaining, primarily because of the lack of real-world bargaining data. We leverage rich, transaction-level bargaining data from a major online platform and supplement it with primary data to quantify the costs and benefits of bargaining for sellers, buyers, and the platform. We do this by building a structural model of buyer demand and seller pricing decisions while allowing for the existence of bargaining initiation cost, loss-of-face cost, and price discrimination. Using our results, we perform three policy simulations to quantify the importance of not distinguishing between no-bargain and failed-bargain transactions, ignoring the loss-of-face cost, and not allowing for bargaining. These simulations provide rich details on how the various costs of bargaining impact our understanding of buyer and seller behavior and transaction outcomes. Banning bargaining, in particular, benefits the buyer and the platform greatly but only has a modest benefit for sellers. Finally, we show that our results are robust to our assumptions and replicate in another product category.
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《妥协》:讨价还价的成本和收益
议价是一种重要的定价机制,在线上和线下市场都很普遍。然而,很少有实证工作记录议价的成本和收益,主要是因为缺乏现实世界的议价数据。我们利用来自主要在线平台的丰富的交易级议价数据,并辅以原始数据,量化卖家、买家和平台议价的成本和收益。我们通过建立买方需求和卖方定价决策的结构模型来做到这一点,同时考虑到议价启动成本、丢面子成本和价格歧视的存在。使用我们的结果,我们执行了三个策略模拟,以量化不区分没有讨价还价和没有讨价还价的交易、忽略面子损失成本和不允许讨价还价的重要性。这些模拟提供了丰富的细节,说明讨价还价的各种成本如何影响我们对买卖双方行为和交易结果的理解。尤其是禁止讨价还价,对买家和平台都大有好处,但对卖家的好处有限。最后,我们证明我们的结果对我们的假设是稳健的,并在另一个产品类别中复制。
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