Algorithmic Pricing What Implications for Competition Policy?

被引:0
|
作者
Emilio Calvano
Giacomo Calzolari
Vincenzo Denicolò
Sergio Pastorello
机构
[1] University of Bologna,Dipartimento di Scienze Economiche
[2] CEPR,undefined
[3] Toulouse School of Economics,undefined
[4] European University Institute and University of Bologna,undefined
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关键词
Algorithmic pricing; Competition policy; Artificial intelligence; Machine learning; Collusion; D42; D82; L42;
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摘要
Pricing decisions are increasingly in the “hands” of artificial algorithms. Scholars and competition authorities have voiced concerns that those algorithms are capable of sustaining collusive outcomes more effectively than can human decision makers. If this is so, then our traditional policy tools for fighting collusion may have to be reconsidered. We discuss these issues by critically surveying the relevant law, economics, and computer science literature.
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页码:155 / 171
页数:16
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