Collusion by algorithm : does better demand prediction facilitate coordination between sellers?
Jeanine Miklós-Thal, Catherine Tucker
| Year of publication: |
2019
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|---|---|
| Authors: | Miklós-Thal, Jeanine ; Tucker, Catherine |
| Published in: |
Management science : journal of the Institute for Operations Research and the Management Sciences. - Catonsville, MD : INFORMS, ISSN 0025-1909, ZDB-ID 206345-1. - Vol. 65.2019, 4, p. 1552-1561
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| Subject: | algorithms | collusion | demand prediction | forecasting | machine learning | economics | microeconomic behavior | Prognoseverfahren | Forecasting model | Theorie | Theory | Künstliche Intelligenz | Artificial intelligence | Algorithmus | Algorithm | Wettbewerbsbeschränkung | Restraints of competition | Nachfrage | Demand |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1287/mnsc.2019.3287 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012022643