Antitrust, Amazon, and Algorithmic Auditing

被引：0

作者：

Dash, Abhisek ^{[1
]}

Chakraborty, Abhijnan ^{[2
]}

Ghosh, Saptarshi ^{[3
]}

Mukherjee, Animesh ^{[3
]}

Frankenreiter, Jens ^{[4
]}

Bechtold, Stefan ^{[5
]}

Gummadi, Krishna P. ^{[1
]}

机构：

[1] Max Planck Inst Software Syst, Campus E1 5, D-66123 Saarbrucken, Germany

[2] Indian Inst Technol Delhi, Hauz Khas, New Delhi 110016, India

[3] Indian Inst Technol Kharagpur, Kharagpur 721302, India

[4] Washington Univ St Louis, Sch Law, One Brookings Dr, St Louis, MO 63130 USA

[5] Swiss Fed Inst Technol, IFW E 47 2, CH-8092 Zurich, Switzerland

来源：

JOURNAL OF INSTITUTIONAL AND THEORETICAL ECONOMICS-ZEITSCHRIFT FUR DIE GESAMTE STAATSWISSENSCHAFT | 2024年 / 180卷 / 02期

基金：

欧洲研究理事会;

关键词：

Amazon; antitrust; self-preferencing; Digital Markets Act; regulating at scale;

D O I：

10.1628/jite-2024-0014

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

In digital markets, antitrust law and special regulations aim to ensure that markets remain competitive despite the dominating role that digital platforms play today in everyone's life. Unlike traditional markets, market participant behavior is easily observable in these markets. We present a series of empirical investigations into the extent to which Amazon engages in practices that are typically described as self-preferencing. We discuss how the computer science tools used in this paper can be used in a regulatory environment that is based on algorithmic auditing and requires regulating digital markets at scale.

引用

页码：319 / 346

页数：28

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