赢/输数据与消费者转换成本：衡量分流比率和合并的影响*

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2023-11-10 DOI:10.1111/joie.12371

Y. Jeff Qiu, Masayuki Sawada, Gloria Sheu

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引用次数: 0

摘要

我们提出了一种基于输赢数据的分流识别策略。首先，我们证明合并企业的赢/亏数据和所有企业在两个时期的市场份额足以识别合并伙伴之间的分流比率。其次，我们证明，仅合并企业的赢亏数据就足以进行部分识别，我们还构建了一个下限，当转换成本较高时，该下限能很好地近似分流比率。我们通过数值模拟和对 Anthem/Cigna 合并案的应用证明了我们方法的性能。

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Win/Loss Data and Consumer Switching Costs: Measuring Diversion Ratios and the Impact of Mergers*

We propose an identification strategy for diversion based on win/loss data. First, we show that win/loss data from the merging firms and market shares in two periods for all firms are sufficient to identify the diversion ratios between the merging partners. Second, we show that win/loss data from the merging firms alone are sufficient for partial identification, and we construct a lower bound that provides a good approximation to the diversion ratio when switching costs are high. We demonstrate the performance of our method with numerical simulations and with an application to the Anthem/Cigna merger.

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.