Pricing algorithms and the risk of tacit collusion
Mazzarda, Francesca (A.A. 2021/2022) Pricing algorithms and the risk of tacit collusion. Tesi di Laurea in Io & competition theory, Luiss Guido Carli, relatore Gian Luigi Albano, pp. 44. [Bachelor's Degree Thesis]
|
PDF (Full text)
Download (3MB) | Preview |
Abstract/Index
A primer on algorithms. Artificial intelligence, machine learning and deep learning. Pricing algorithms. Pro-competitive effects of algorithms. Supply-side efficiencies. Demand-side efficiencies. Anti-competitive effects of algorithms. Collusion. Types of algorithms used to collude. Scenarios. The role of competition authorities. Traditional approach to collusion. Alternative tools.
References
Bibliografia: pp. 38-44.
| Thesis Type: | Bachelor's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Bachelor's Degree Programs > Bachelor's Degree Program in Economics and Business, English language (L-33) |
| Chair: | Io & competition theory |
| Thesis Supervisor: | Albano, Gian Luigi |
| Academic Year: | 2021/2022 |
| Session: | Summer |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 22 Sep 2022 16:00 |
| Last Modified: | 22 Sep 2022 16:00 |
| URI: | https://tesi.luiss.it/id/eprint/33426 |
Downloads
Downloads per month over past year
Repository Staff Only
 |
View Item |
