Strategic choice of price-setting algorithms

Recent experimental simulations have shown that autonomous pricing algorithms are able to learn collusive behavior and thus charge supra-competitive prices without being explicitly programmed to do so. These simulations assume, however, that both firms employ the identical price-setting algorithm ba...

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Hauptverfasser: Buchali, Katrin (VerfasserIn), Grüb, Jens (VerfasserIn), Muijs, Matthias (VerfasserIn), Schwalbe, Ulrich 1958- (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Stuttgart, Germany University of Hohenheim, Dean's Office of the Faculty of Business, Economics and Social Sciences 2023
Hohenheim Kommunikations-, Informations- und Medienzentrum der Universität Hohenheim 2023
Schriftenreihe:Hohenheim discussion papers in business, economics and social sciences 2023,01
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Online-Zugang:10419/268721
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Datensatz im Suchindex

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Kommunikations-, Informations- und Medienzentrum der Universität Hohenheim
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spelling Buchali, Katrin Verfasser (DE-588)1235896927 aut
Strategic choice of price-setting algorithms Katrin Buchali, Jens Grüb, Matthias Muijs, Ulrich Schwalbe
Stuttgart, Germany University of Hohenheim, Dean's Office of the Faculty of Business, Economics and Social Sciences 2023
Hohenheim Kommunikations-, Informations- und Medienzentrum der Universität Hohenheim 2023
6 Seiten
txt rdacontent
c rdamedia
cr rdacarrier
Hohenheim discussion papers in business, economics and social sciences 2023,01
Recent experimental simulations have shown that autonomous pricing algorithms are able to learn collusive behavior and thus charge supra-competitive prices without being explicitly programmed to do so. These simulations assume, however, that both firms employ the identical price-setting algorithm based on Q-learning. Thus, the question arises whether the underlying assumption that both firms employ a Q-learning algorithm can be supported as an equilibrium in a game where firms can chose between different pricing rules. Our simulations show that when both firms use a learning algorithm, the outcome is not an equilibrium when alternative price setting rules are available. In fact, simpler price setting rules as for example meeting competition clauses yield higher payoffs compared to Q-learning algorithms.
pricing algorithms
algorithmic collusion
reinforcement learning
Grüb, Jens Verfasser (DE-588)1202935397 aut
Muijs, Matthias Verfasser (DE-588)1172742693 aut
Schwalbe, Ulrich 1958- Verfasser (DE-588)170440710 aut
10419/268721
application/pdf https://nbn-resolving.de/urn:nbn:de:bsz:100-opus-21276 Resolving-System kostenfrei
application/pdf http://opus.uni-hohenheim.de/volltexte/2023/2127/ Verlag kostenfrei Volltext
https://hdl.handle.net/10419/268721 Resolving-System kostenfrei
https://nbn-resolving.org/urn:nbn:de:bsz:100-opus-21276 Resolving-System kostenfrei
https://d-nb.info/1280397918/34 Langzeitarchivierung Nationalbibliothek kostenfrei
spellingShingle Buchali, Katrin
Grüb, Jens
Muijs, Matthias
Schwalbe, Ulrich 1958-
Strategic choice of price-setting algorithms
title Strategic choice of price-setting algorithms
title_auth Strategic choice of price-setting algorithms
title_exact_search Strategic choice of price-setting algorithms
title_exact_search_txtP Strategic choice of price-setting algorithms
title_full Strategic choice of price-setting algorithms Katrin Buchali, Jens Grüb, Matthias Muijs, Ulrich Schwalbe
title_fullStr Strategic choice of price-setting algorithms Katrin Buchali, Jens Grüb, Matthias Muijs, Ulrich Schwalbe
title_full_unstemmed Strategic choice of price-setting algorithms Katrin Buchali, Jens Grüb, Matthias Muijs, Ulrich Schwalbe
title_short Strategic choice of price-setting algorithms
title_sort strategic choice of price setting algorithms
url 10419/268721
https://nbn-resolving.de/urn:nbn:de:bsz:100-opus-21276
http://opus.uni-hohenheim.de/volltexte/2023/2127/
https://hdl.handle.net/10419/268721
https://nbn-resolving.org/urn:nbn:de:bsz:100-opus-21276
https://d-nb.info/1280397918/34
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