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Collusion by algorithm : does better demand prediction facilitate coordination between sellers?
Miklós-Thal, Jeanine; Tucker, Catherine - In: Management science : journal of the Institute for … 65 (2019) 4, pp. 1552-1561
Persistent link: https://www.econbiz.de/10012022643
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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/10013093034
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Collusive compensation schemes aided by algorithms
Martin, Simon; Schmal, W. Benedikt - 2021
Sophisticated collusive compensation schemes such as assigning future market shares or direct transfers are frequently observed in detected cartels. We show formally why these schemes are useful for dampening deviation incentives when colluding firms are temporary asymmetric. The relative...
Persistent link: https://www.econbiz.de/10012704975
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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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Collusive compensation schemes aided by algorithms
Martin, Simon; Schmal, W. Benedikt - 2021
Sophisticated collusive compensation schemes such as assigning future market shares or direct transfers are frequently observed in detected cartels. We show formally why these schemes are useful for dampening deviation incentives when colluding firms are temporary asymmetric. The relative...
Persistent link: https://www.econbiz.de/10012698813
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Collusion by Algorithm : Does Better Demand Prediction Facilitate Coordination Between Sellers?
Miklós-Thal, Jeanine - 2018
artificial intelligence affects the sustainability of collusion in an industry. We find that while better forecasting allows …
Persistent link: https://www.econbiz.de/10012910026
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Demand forecasting, signal precision, and collusion with hidden actions
Martin, Simon; Rasch, Alexander - In: International journal of industrial organization 92 (2024), pp. 1-22
Persistent link: https://www.econbiz.de/10014549730
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Risk averse retail pricing with robust demand forecasting
Ferrer, Juan-Carlos; Oyarzún, Diego; Vera, Jorge - In: International journal of production economics 136 (2012) 1, pp. 151-160
Persistent link: https://www.econbiz.de/10009503669
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The Predictability of DOJ Cartel Fines
Connor, John M. - 2016
collusion. However, U.S. fines do not conform to the theory's predictions about the probability of detection and conviction of … Justice has great latitude in recommending corporate cartel fines to the federal courts, and its recommendations are nearly … direct test of the optimal deterrence theory of antitrust crimes.Regressions are fitted to a sample of the corporations that …
Persistent link: https://www.econbiz.de/10012979998
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Predicting Cartel Formation
Herold, Daniel - 2016
This article distills insights about cartel formation from 41 cases prosecuted by the European Commission between 2001 … following potential causes for cartel formation: Changes in prices, demand and customer conduct, capacity utilization, increased … imports and entry by competitors, and events in the legal and regulatory environment of the firms. Cartel formation is not …
Persistent link: https://www.econbiz.de/10012997727