Algorithmic Pricing What Implications for Competition Policy?

被引：56

作者：

Calvano, Emilio ^{[1
,3
]}

Calzolari, Giacomo ^{[2
,3
,4
,5
]}

Denicolo, Vincenzo ^{[1
,2
]}

Pastorello, Sergio ^{[1
]}

机构：

[1] Univ Bologna, Dipartimento Sci Econ, Piazza Scaravilli 2, I-40126 Bologna, Italy

[2] CEPR, London, England

[3] Toulouse Sch Econ, Toulouse, France

[4] European Univ Inst, Via Fontanelle 18, I-50014 Florence, Italy

[5] Univ Bologna, Via Fontanelle 18, I-50014 Florence, Italy

来源：

REVIEW OF INDUSTRIAL ORGANIZATION | 2019年 / 55卷 / 01期

关键词：

Algorithmic pricing; Competition policy; Artificial intelligence; Machine learning; Collusion; PEOPLE PLAY GAMES; REINFORCEMENT;

D O I：

10.1007/s11151-019-09689-3

中图分类号：

F [经济];

学科分类号：

02 ;

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.

引用

页码：155 / 171

页数：17

共 30 条

[1]

[Anonymous], 2016, ARXIV160507736

[2] Evolutionary Dynamics of Multi-Agent Learning: A Survey [J].

Bloembergen, Daan ;

Tuyls, Karl ;

Hennes, Daniel ;

Kaisers, Michael .

JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, 2015, 53 :659-697

[3] A comprehensive survey of multiagent reinforcement learning [J].

Busoniu, Lucian ;

Babuska, Robert ;

De Schutter, Bart .

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, 2008, 38 (02) :156-172

[4]

Calvano E., 2018, 13405 CEPR

[5]

Chen L., 2016, P 25 INT C WORLD WID

[6] Communication, Renegotiation, and the Scope for Collusion [J].

Cooper, David J. ;

Kuehn, Kai-Uwe .

AMERICAN ECONOMIC JOURNAL-MICROECONOMICS, 2014, 6 (02) :247-278

[7]

COOPER RW, 1990, AM ECON REV, V80, P218

[8] Cooperating with machines [J].

Crandall, Jacob W. ;

Oudah, Mayada ;

Tennom ;

Ishowo-Oloko, Fatimah ;

Abdallah, Sherief ;

Bonnefon, Jean-Francois ;

Cebrian, Manuel ;

Shariff, Azim ;

Goodrich, Michael A. ;

Rahwan, Iyad .

NATURE COMMUNICATIONS, 2018, 9

[9] A reinforcement learning approach to competitive ordering and pricing problem [J].

Dogan, Ibrahim ;

Guener, Ali R. .

EXPERT SYSTEMS, 2015, 32 (01) :39-48

[10]

Doraszelski U., 2007, HDB IND ORG, V3

← 1 2 3 →