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数据与竞争:一个简单框架

Data and Competition: A Simple Framework
The RAND Journal of Economics · 2025 · Alexandre de Cornière、Greg Taylor

中文摘要

企业对数据的获取程度提高,会促进还是抑制企业间的竞争?我们采用一个涵盖企业使用数据多种情形的“竞争—效用”框架,将数据建模为收入移动项,并识别出两种方向相反的效应:加成效应,即数据促使企业更激烈地竞争;以及剩余提取效应。我们给出了数据具有促进竞争或抑制竞争性质的条件,这些条件不需要了解需求,也不需要计算均衡。我们将研究结果应用于数据被用于产品推荐、监测被保险人行为、价格歧视或定向广告等情形。我们还重新审视了数据与市场结构的问题。

Abstract

ABSTRACT Does enhanced access to data foster or hinder competition among firms? Using a competition‐in‐utility framework that encompasses many situations where firms use data, we model data as a revenue‐shifter and identify two opposite effects: a mark‐up effect according to which data induces firms to compete harder, and a surplus‐extraction effect. We provide conditions for data to be pro‐ or anti‐competitive, requiring neither knowledge of demand nor computation of equilibrium. We apply our results to situations where data is used to recommend products, monitor insuree behavior, price‐discriminate, or target advertising. We also revisit the issue of data and market structure.
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