Stan. J. Comp. Antitrust 2022
DOI: 10.51868/13
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Prospects and Limits of Merger Simulations as a Computational Antitrust Tool

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, institution… Show more

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“…However, ex-post evaluations of competition authority decisions can have different motivations. In general, these can be divided into the following (Don et al 2008;Davies & Ormosi 2012;Budzinski 2013;Budzinski & Stöhr 2018):…”
Section: Introductionmentioning
confidence: 99%
“…However, ex-post evaluations of competition authority decisions can have different motivations. In general, these can be divided into the following (Don et al 2008;Davies & Ormosi 2012;Budzinski 2013;Budzinski & Stöhr 2018):…”
Section: Introductionmentioning
confidence: 99%
“…See, on the strengths and weaknesses of predictive economic merger simulation models,Weinberg & Hosken (2013),Budzinski & Ruhmer (2010),Casey & Niblett (2021) as well asBudzinski & Noskova (2022) and on methods for ex-post evaluations of merger effects, Budzinski (2013).28 See https://competition-policy.ec.europa.eu/mergers/statistics_en29 The same may happen to remedies in the context of allowing cartels Butler & Massey (2019). as well asBudzinski et al (2019) demonstrate how remedies for the bundling of broadcasting rights in sports (European football) worked well in the pre-digital era but became consumer-welfare-decreasing in the streaming age.…”
mentioning
confidence: 99%