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2 Stan. Computational Antitrust 56 (2022)
Prospects and Limits of Merger Simulations as a Computational Antitrust Tool

handle is hein.journals/stfdcmp2 and id is 56 raw text is: ARTICLE Prospects and Limits of Merger Simulations as a Computational Antitrust Tool Oliver Budzinski* &Victoriia Noskova** Abstract. Computational antitrust is gaining high attention from competition authorities worldwide. In this paper, we examine the promises and downsides of merger simulations as a tool of computational antitrust. In doing this, we first provide an overview of the working mechanisms of the merger simulation tool and then evaluate its implementation in competition policy, including the question of whether more sophisticated technologies would change analysis. We consider perspectives from industrial economics, institutional economics, and political economics. The results of the analysis show that institutions matter to reap considerable prospects of merger simulations as a computational antitrust tool. Oliver Budzinski is Professor of Economic Theory, Institute of Economics, Institute of Media and Mobile Communication, Ilmenau University of Technology. *Victoriia Noskova Junior researcher, Chair for Economic Theory, Institute ofEconomics, Institute of Media and Mobile Communication, Ilmenau University of Technology. The authors thank Anne Fischer for valuable editorial assistance.

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