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The Potential For Significant Inaccuracies In Merger Simulation Models
[The Antitrust Paradox: A Policy at War with Itself]

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  • Mike Walker

Abstract

This paper considers the role that merger simulation models should play in European merger control. The use of these models, as off-the-shelf instruments to assess the economic effects of mergers, has become increasingly widespread in recent years. However, contrary to some claims, merger simulation models do not allow investigators to avoid much of the competitive effects analysis relating to the relevant economic market, nor do they necessarily provide more precision to merger control. Without understanding the limitations of such models and the circumstances under which they can and should be usefully applied, they may not just be useless, but dangerous in the sense of providing possibly spurious results with spurious claimed accuracy. This paper argues that any merger simulation models used should be “bespoke” models, rather than off‐the‐shelf models, but cautions that even bespoke models will frequently not be as useful as is often claimed. This is not to deny that there are occasions when well-constructed bespoke models are genuinely useful and do offer genuine improvements in merger control.

Suggested Citation

  • Mike Walker, 2005. "The Potential For Significant Inaccuracies In Merger Simulation Models [The Antitrust Paradox: A Policy at War with Itself]," Journal of Competition Law and Economics, Oxford University Press, vol. 1(3), pages 473-496.
  • Handle: RePEc:oup:jcomle:v:1:y:2005:i:3:p:473-496.
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    File URL: http://hdl.handle.net/10.1093/joclec/nhi015
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    References listed on IDEAS

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    Cited by:

    1. Oliver Budzinski, 2009. "Modern Industrial Economics and Competition Policy: Open Problems and Possible Limits," Working Papers 93/09, University of Southern Denmark, Department of Sociology, Environmental and Business Economics.
    2. Oliver Budzinski & Isabel Ruhmer, 2010. "Merger Simulation In Competition Policy: A Survey," Journal of Competition Law and Economics, Oxford University Press, vol. 6(2), pages 277-319.
    3. Maarten Pieter Schinkel, 2008. "Forensic Economics In Competition Law Enforcement," Journal of Competition Law and Economics, Oxford University Press, vol. 4(1), pages 1-30.
    4. Mathiesen, Lars & Nilsen, Øivind Anti & Sørgard, Lars, 2011. "Merger simulations with observed diversion ratios," International Review of Law and Economics, Elsevier, vol. 31(2), pages 83-91, June.
    5. Oliver Budzinski, 2008. "A Note on Competing Merger Simulation Models in Antitrust Cases: Can the Best Be Identified?," MAGKS Papers on Economics 200803, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    6. Oliver Budzinski, 2010. "An Institutional Analysis of the Enforcement Problems in Merger Control," Working Papers 101/10, University of Southern Denmark, Department of Sociology, Environmental and Business Economics.
    7. Oliver Budzinski & Arndt Christiansen, 2007. "The Oracle/PeopleSoft Case: Unilateral Effects, Simulation Models and Econometrics in Contemporary Merger Control," Marburg Working Papers on Economics 200702, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).

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