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Identifikation und Analyse von Interdependenzen zwischen Nachhaltigkeitsindikatoren anhand des GINMFORS Modells
Lutz, Christian; Wiebe, Kirsten - In: Nachhaltige Entwicklung : das neue Paradigma in der …, (pp. 525-556). 2010
Persistent link: https://www.econbiz.de/10003990042
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Special section: technology modelling of climate policies
In: Energy policy 35 (2007) 2, pp. 761-843
Persistent link: https://www.econbiz.de/10003441206
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Modelling climate change and its economic consequences : a review
Schröder, Meinhard (contributor);  … - 1999
Persistent link: https://www.econbiz.de/10001415692
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Greenhouse gases mitigation : global externalities and short-termism
Di Bartolomeo, Giovanni; Minooei Fard, Behnaz; Semmler, … - In: Environment and development economics 28 (2023) 3, pp. 230-241
Persistent link: https://www.econbiz.de/10014306662
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The Predictability of Global Cartel Fines
Miller, Douglas J. - 2010
case of cartel violations, both the United States and the EU have introduced guidelines for calculating fines that are … intended to make fining decisions more transparent and to deter cartel formation. The research summarized in this paper finds …-deterrence theory dictates. We do find rather large differences in temporal patterns between U.S. and EC fines: the former do not …
Persistent link: https://www.econbiz.de/10013143320
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International environmental agreements-the role of foresight
Diamantoudi, Effrosyni; Sartzetakis, Eftichios Sofokles - In: Environmental & resource economics : the official … 71 (2018) 1, pp. 241-257
Persistent link: https://www.econbiz.de/10011998637
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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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Collusion by Algorithm : Does Better Demand Prediction Facilitate Coordination Between Sellers?
Miklós-Thal, Jeanine - 2018
We build a game-theoretic model to examine how better demand forecasting due to algorithms, machine learning and artificial intelligence affects the sustainability of collusion in an industry. We find that while better forecasting allows colluding firms to better tailor prices to demand...
Persistent link: https://www.econbiz.de/10012910026
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The Predictability of DOJ Cartel Fines
Connor, John M. - 2016
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 …-deterrence model is quite good. We find that U.S. corporate cartel fines are strongly directly related to economic injuries from …
Persistent link: https://www.econbiz.de/10012979998
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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