Autonomous algorithmic collusion: economic research and policy implications-Reference-Cited by-同舟云学术

Autonomous algorithmic collusion: economic research and policy implications

Published:2021-09-01 Issue:3 Volume:37 Page:459-478
ISSN:0266-903X
Container-title:Oxford Review of Economic Policy
language:en
Short-container-title:

Author:

Assad Stephanie¹,Calvano Emilio²,Calzolari Giacomo³,Clark Robert¹,Denicolò Vincenzo⁴,Ershov Daniel⁵,Johnson Justin⁶,Pastorello Sergio⁷,Rhodes Andrew⁵,Xu Lei⁸,Wildenbeest Matthijs⁹

Affiliation:

1. Queen’s University, Kingston, Canada

2. University of Bologna, Italy, CEPR, Toulouse School of Economics, France

3. Department of Economics, European University Institute, Italy, CEPR, and University of Bologna, Italy

4. University of Bologna, Italy and CEPR

5. Toulouse School of Economics, Université Toulouse 1 Capitole, France

6. Samuel Curtis Johnson Graduate School of Management, Cornell University, USA

7. University of Bologna, Bologna, Italy

8. Bank of Canada, Ottawa, Canada

9. Kelley School of Business, Indiana University, USA

Abstract

Abstract Markets are being populated with new generations of pricing algorithms, powered with artificial intelligence (AI), that have the ability to autonomously learn to operate. This ability can be both a source of efficiency and cause of concern for the risk that algorithms autonomously and tacitly learn to collude. In this paper we explore recent developments in the economic literature and discuss implications for policy.

Publisher

Oxford University Press (OUP)

Subject

Management, Monitoring, Policy and Law,Economics and Econometrics

Link

http://academic.oup.com/oxrep/article-pdf/37/3/459/40434158/grab011.pdf

Reference25 articles.

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