S
Steffen Huck
Researcher at University College London
Publications - 249
Citations - 8344
Steffen Huck is an academic researcher from University College London. The author has contributed to research in topics: Cournot competition & Competition (economics). The author has an hindex of 47, co-authored 245 publications receiving 7866 citations. Previous affiliations of Steffen Huck include Institute for the Study of Labor & Humboldt University of Berlin.
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Merger profitability and trade policy
Steffen Huck,Kai A. Konrad +1 more
TL;DR: In this paper, the authors study the profitability and welfare effects of merger in a strategic trade policy environment and show that merger can be profitable and welfare enhancing here, even though it is not profitable in a laissez-faire economy.
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Two are Few and Four are Many: Number Effects in Experimental Oligopolies
TL;DR: In this article, the authors investigate how the competitiveness of Cournot markets varies with the number of firms in an industry and find that three-firm oligopolies tend to produce outputs at the Nash level and four or five firms are never collusive and typically settle at or above the Cournot outcome.
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Personalized Fundraising: A Field Experiment on Threshold Matching of Donations
Maja Adena,Steffen Huck +1 more
TL;DR: In this paper, a form of threshold matching where donations above a certain, potentially personalized, threshold are topped up with a fixed amount is proposed, and the optimal choice of thresholds is rather bold, approximately 60-75% above past donations.
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Social Norms and Economic Incentives in Firms
TL;DR: In this article, the authors introduce a general framework to model social norms arguing that norms stem from agents' desire for, or peer pressure towards, social efficiency and show how social norms can induce multiplicity of equilibria and how steeper economic incentives can reduce effort.
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Merger and collusion in contests
TL;DR: In this article, the authors characterize conditions under which cooperation is profitable and show that the convexity properties of the contest success function depend on the decision making process of the participants.