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Cartel overcharges and the deterrent effect of EU competition law
Smuda, Florian - 2012
This paper examines cartel overcharges for the European market. Using a sample of 191 overcharge estimates and several … parametric and semi-parametric estimation procedures, the impact of different cartel characteristics and the market environment ….37 percent of the selling price and the average cartel duration is 8.35 years. Certain cartel characteristics and the geographic …
Persistent link: https://www.econbiz.de/10009572459
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A note on consumer flexibility, data quality and collusion
Hasnas, Irina - 2014
In this note we analyze the sustainability of collusion in a game of repeated interaction where firms can price discriminate among consumers based on two types of customer data. This work is related to Liu and Serfes (2007) and Sapi and Suleymanova (2013). Following Sapi and Suleymanova we...
Persistent link: https://www.econbiz.de/10010343547
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Collusion by algorithm : the role of unobserved actions
Martin, Simon; Rasch, Alexander - 2022
We analyze the effects of better algorithmic demand forecasting on collusive profits. We show that the comparative statics crucially depend on the whether actions are observable. Thus, the optimal antitrust policy needs to take into account the institutional settings of the industry in question....
Persistent link: https://www.econbiz.de/10012990230
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Algorithmic and human collusion
Werner, Tobias - 2021
As self-learning pricing algorithms become popular, there are growing concerns among academics and regulators that algorithms could learn to collude tacitly on non-competitive prices and thereby harm competition. I study popular reinforcement learning algorithms and show that they develop...
Persistent link: https://www.econbiz.de/10012661268
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Passive backward acquisitions and downstream collusion
Shekhar, Shiva; Thomes, Tim Paul - 2020
collusive price that is set by the cartel to increase the acquirer's profit from its claim on the upstream margin. …
Persistent link: https://www.econbiz.de/10012297609
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Private information, price discrimination, and collusion
Peiseler, Florian; Rasch, Alexander; Shekhar, Shiva - 2018
We analyze firms' ability to sustain collusion in a setting in which horizontally differentiated firms can price-discriminate based on private information regarding consumers' preferences. In particular, firms receive private signals which can be noisy (e.g., big data predictions). We find that...
Persistent link: https://www.econbiz.de/10011892956
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Let's lock them in : collusion under consumer switching costs
Fourberg, Niklas - 2018
, especially for the focus of cartel screening. …
Persistent link: https://www.econbiz.de/10011892961
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Pricing behavior in partial cartels
Odenkirchen, Johannes - 2018
communication. Using a repeated, asymmetric capacity constraint price game, we show that, in line with theory, a partial cartel is … sufficient to increase market prices for all firms. Moreover, we find that prices of cartel insiders and outsiders are not … necessarily on the same level what contradicts common theoretical predictions. This is because communication allows cartel members …
Persistent link: https://www.econbiz.de/10011897162
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Gender and collusion
Haucap, Justus; Heldman, Christina; Rau, Holger A. - 2022
Many cartels are formed by individual managers of different firms, but not by firms as collectives. However, most of the literature in industrial economics neglects individuals' incentives to form cartels. Although oligopoly experiments reveal important insights on individuals acting as firms,...
Persistent link: https://www.econbiz.de/10012886259
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Algorithmic price recommendations and collusion : experimental evidence
Hunold, Matthias; Werner, Tobias - 2023
This paper investigates the collusive and competitive effects of algorithmic price recommendations on market outcomes. These recommendations are often non-binding and common in many markets, especially on online platforms. We develop a theoretical framework and derive two algorithms that...
Persistent link: https://www.econbiz.de/10014442786