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International Journal of Industrial Organization
Article . 2006 . Peer-reviewed
License: Elsevier TDM
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SSRN Electronic Journal
Article . 2003 . Peer-reviewed
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Imperfect Competition Law Enforcement

Authors: Schinkel, M.P.; Tuinstra, J.;

Imperfect Competition Law Enforcement

Abstract

Competition policy is a subject of often heated debate. Competition authorities, seeking to prevent or battle anticompetitive acts in complex cases to the best of their abilities, regularly find themselves advised by rival economic theories and disputed empirical analyses. As a consequence, there is a real possibility that they may occasionally err, missing true violations of competition law or finding firms liable that actually had no other intentions than good competition. In this paper, possible consequences of such imperfect competition law enforcement on firm strategies are considered. In a simple model of collusion, it is found that the incidence of anti-competitive behavior increases in both types of enforcement errors: Type II errors decrease expected fines, while Type I errors encourage industries to collude precautionary when they face the risk of a false conviction. Hence, fallible antitrust enforcement may stifle genuine competition, thus stimulating the very behavior competition policy is meant to deter. When enforcement errors are non-negligible, competition authorities run the risk of being over-zealous, in the sense that welfare is best served by an authority that is selective and conscientious in its targeting of alleged anticompetitive acts.

Country
Netherlands
Keywords

330

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    23
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
23
Average
Top 10%
Average
bronze