优先级vs.中立性:来自亚马逊Twitch.tv的证据

José Tudón
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引用次数: 5

摘要

本文研究了亚马逊Twitch中优先级的有效使用。电视,考虑到进入和拥塞之间的权衡。我指定和估计的供应和需求模型的直播视频,和拥塞模型。利用技术冲击,我确定了内容提供商及其消费者的拥塞成本。在优先级排序中使用冲击,我发现了它的好处。根据估计的偏好和技术参数,我构建了反事实。如果没有拥堵,需求可能会翻倍。供给侧庇古税比需求侧庇古税更可取。如果没有优先排序,消费者福利将下降10%。我考虑了一个租金抽取平台,并讨论了与网络中立政策的相似之处。
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Prioritization vs. Neutrality on Platforms: Evidence from Amazon’s Twitch.tv
This paper studies the efficient use of prioritization in Amazon’s Twitch.tv, taking into account the trade-off between entry and congestion. I specify and estimate supply and demand models for live video, and a congestion model. Using technological shocks, I identify congestion costs for content providers and their consumers. Using shocks in prioritization, I identify its benefits. With estimated preferences and technological parameters, I construct counterfactuals. Without congestion, demand potentially doubles. A supply-side Pigouvian tax is preferred to a demand-side one. Without prioritization, consumer welfare drops up to 10%. I consider a rent-extractive platform, and discuss parallels with net-neutrality policy.
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