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Screening for collusion: a spatial statistics approach

Author

Listed:
  • Pim Heijnen
  • Marco A. Haan
  • Adriaan R. Soetevent

Abstract

We develop a method to screen for local cartels. We first test whether there is statistical evidence of clustering of outlets that score high on some characteristic that is consistent with collusive behavior. If so, we determine in a second step the most suspicious regions where further antitrust investigation would be warranted. We apply our method to build a variance screen for the Dutch gasoline market.

Suggested Citation

  • Pim Heijnen & Marco A. Haan & Adriaan R. Soetevent, 2015. "Screening for collusion: a spatial statistics approach," Journal of Economic Geography, Oxford University Press, vol. 15(2), pages 417-448.
    • Handle: RePEc:oup:jecgeo:v:15:y:2015:i:2:p:417-448.
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    File URL: http://hdl.handle.net/10.1093/jeg/lbu012
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    Citations

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    Cited by:

    1. Soetevent, Adriaan R. & Bružikas, Tadas, 2018. "The impact of process innovation on prices: Evidence from automated fuel retailing in The Netherlands," European Economic Review, Elsevier, vol. 110(C), pages 181-196.
    2. Johan Lundberg, 2017. "On cartel detection and Moran’s I," Letters in Spatial and Resource Sciences, Springer, vol. 10(1), pages 129-139, March.
    3. Korbinian von Blanckenburg & Marc Hanfeld & Konstantin A. Kholodilin, 2013. "A Market Screening Model for Price Inconstancies: Empirical Evidence from German Electricity Markets," Discussion Papers of DIW Berlin 1274, DIW Berlin, German Institute for Economic Research.
    4. Mats A. Bergman & Johan Lundberg & Sofia Lundberg & Johan Y. Stake, 2020. "Interactions Across Firms and Bid Rigging," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 56(1), pages 107-130, February.
    5. Bruzikas, Tadas & Soetevent, Adriaan, 2014. "Detailed data and changes in market structure," Research Report 14027-EEF, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    6. Tadas Bruzikas & Adriaan R. Soetevent, 2014. "Detailed Data and Changes in Market Structure: The Move to Unmanned Gasoline Service Stations," Tinbergen Institute Discussion Papers 14-123/VII, Tinbergen Institute.
    7. Carsten J. Crede, 2019. "A Structural Break Cartel Screen for Dating and Detecting Collusion," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 54(3), pages 543-574, May.
    8. Carsten J. Crede, 2015. "A structural break cartel screen for dating and detecting collusion," Working Paper series, University of East Anglia, Centre for Competition Policy (CCP) 2015-11, Centre for Competition Policy, University of East Anglia, Norwich, UK..
    9. Bergman, Mats A. & Lundberg, Johan & Lundberg, Sofia & Stake, Johan Y., 2015. "Using spatial econometrics to test for collusive behavior in procurement auction data," Umeå Economic Studies 917, Umeå University, Department of Economics.

    More about this item

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General
    • L12 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Monopoly; Monopolization Strategies
    • L41 - Industrial Organization - - Antitrust Issues and Policies - - - Monopolization; Horizontal Anticompetitive Practices

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