Name File Type Size Last Modified
  AER-software-guide 07/11/2020 12:10:PM
  AER_fcode 05/15/2020 06:49:AM
  AER_online_appendix_Rscripts 07/11/2020 10:34:AM
  AER_paper_Rscripts 05/15/2020 08:44:AM
LICENSE.txt text/plain 1.7 KB 07/09/2020 08:43:AM
README.pdf application/pdf 256.5 KB 07/11/2020 08:08:AM
Table replication online appendix.pdf application/pdf 93.6 KB 07/09/2020 09:19:AM
Table replication paper.pdf application/pdf 80.3 KB 07/09/2020 09:27:AM

Project Citation: 

Calvano, Emilio, Calzolari, Giacomo, Denicolò, Vincenzo, and Pastorello, Sergio. Data and Code for: “Artificial intelligence, algorithmic pricing and collusion.” Nashville, TN: American Economic Association [publisher], 2020. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2020-09-23. https://doi.org/10.3886/E119462V1

Project Description

Summary:  View help for Summary This material provides the codes, the executables and the scripts for the simulations in the paper “Artificial intelligence, algorithmic pricing and collusion,” by Emilio Calvano, Giacomo Calzolari, Vincenzo Denicolò, Sergio Pastorello.

Scope of Project

Subject Terms:  View help for Subject Terms Artificial Intelligence; Pricing-Algorithms; Collusion; Reinforcement Learning; Q-Learning
JEL Classification:  View help for JEL Classification
      D43 Market Structure, Pricing, and Design: Oligopoly and Other Forms of Market Imperfection
      D83 Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
      L13 Oligopoly and Other Imperfect Markets
      L41 Monopolization; Horizontal Anticompetitive Practices
Data Type(s):  View help for Data Type(s) program source code


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