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  • Search: subject:"Cartel screens"
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Year of publication
Subject
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Cartel 4 Kartell 4 Artificial intelligence 3 Künstliche Intelligenz 3 Benzin 2 Cartel Screens 2 Cartel screens 2 Fuel Retail Market 2 Gasoline 2 Machine Learning 2 cartel screens 2 fuel retail market 2 machine learning 2 price dynamics 2 Antitrust law 1 Bid-rigging cartels 1 Clustering 1 Competition policy 1 Einzelhandel 1 Fuel retail market 1 Kartellrecht 1 Machine learning 1 Price dynamics 1 Restraints of competition 1 Retail trade 1 Unsupervised learning 1 Wettbewerbsbeschränkung 1 Wettbewerbspolitik 1
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Online availability
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Free 4 Undetermined 2
Type of publication
All
Book / Working Paper 4 Article 2
Type of publication (narrower categories)
All
Working Paper 4 Arbeitspapier 2 Article in journal 2 Aufsatz in Zeitschrift 2 Graue Literatur 1 Non-commercial literature 1
Language
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English 6
Author
All
Silveira, Douglas 4 Cajueiro, Daniel Oliveira 3 Resende, Marcelo 3 Bantle, Melissa 2 Vasconcelos, Silvinha Pinto 2 Cajueiro, Daniel O. 1 Fiuza, Eduardo P. S. 1 Moraes, Lucas B. de 1 Vasconcelos, Silvinha 1
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Published in...
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CESifo Working Paper 1 CESifo working papers 1 Energy economics 1 Hohenheim Discussion Papers in Business, Economics and Social Sciences 1 Hohenheim discussion papers in business, economics and social sciences 1 International journal of industrial organization 1
Source
All
ECONIS (ZBW) 4 EconStor 2
Showing 1 - 6 of 6
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Screen for collusive behavior: A machine learning approach
Bantle, Melissa - 2024
The paper uses a machine learning technique to build up a screen for collusive behavior. Such tools can be applied by competition authorities but also by companies to screen the behavior of their suppliers. The method is applied to the German retail gasoline market to detect anomalous behavior...
Persistent link: https://www.econbiz.de/10014492744
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Cover Image
Screen for collusive behavior : a machine learning approach
Bantle, Melissa - 2024
The paper uses a machine learning technique to build up a screen for collusive behavior. Such tools can be applied by competition authorities but also by companies to screen the behavior of their suppliers. The method is applied to the German retail gasoline market to detect anomalous behavior...
Persistent link: https://www.econbiz.de/10014491825
Saved in:
Cover Image
Won't Get Fooled Again: A Supervised Machine Learning Approach for Screening Gasoline Cartels
Silveira, Douglas; Vasconcelos, Silvinha; Resende, Marcelo - 2021
In this article, we combine machine learning techniques with statistical moments of the gasoline price distribution. By doing so, we aim to detect and predict cartels in the Brazilian retail market. In addition to the traditional variance screen, we evaluate how the standard deviation,...
Persistent link: https://www.econbiz.de/10012492981
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Cover Image
Won't get fooled again : a supervised machine learning approach for screening gasoline cartels
Silveira, Douglas; Vasconcelos, Silvinha Pinto; … - 2021
In this article, we combine machine learning techniques with statistical moments of the gasoline price distribution. By doing so, we aim to detect and predict cartels in the Brazilian retail market. In addition to the traditional variance screen, we evaluate how the standard deviation,...
Persistent link: https://www.econbiz.de/10012417720
Saved in:
Cover Image
Who are you? : cartel detection using unlabeled data
Silveira, Douglas; Moraes, Lucas B. de; Fiuza, Eduardo P. S. - In: International journal of industrial organization 88 (2023), pp. 1-25
Persistent link: https://www.econbiz.de/10014299542
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Won't get fooled again : a supervised machine learning approach for screening gasoline cartels
Silveira, Douglas; Vasconcelos, Silvinha Pinto; … - In: Energy economics 105 (2022), pp. 1-18
Persistent link: https://www.econbiz.de/10013201809
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