IDEAS home Printed from https://ideas.repec.org/a/bla/germec/v13y2012i3p245-256.html
   My bibliography  Save this article

The Influence of Collusion on Price Changes: New Evidence from Major Cartel Cases

Author

Listed:
  • Korbinian Blanckenburg
  • Alexander Geist
  • Konstantin A. Kholodilin

Abstract

In this article, we compare the distribution of price changes between collusive and non-collusive periods for 11 major cartels. Based on the theoretical and empirical results from previous research, we discuss the four moments with respect to price changes (mean, variance, skewness and kurtosis). However, none of the above descriptive statistics can be considered as a robust test allowing a differentiation between competition and cartel. Therefore, we implement the Kolmogorov-Smirnov test. According to our results, 9 of 11 cartels were successful in controlling the market price for a number of years. The proposed methodology may be used for antitrust screening and regulatory purposes.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Korbinian Blanckenburg & Alexander Geist & Konstantin A. Kholodilin, 2012. "The Influence of Collusion on Price Changes: New Evidence from Major Cartel Cases," German Economic Review, Verein für Socialpolitik, vol. 13(3), pages 245-256, August.
    • Handle: RePEc:bla:germec:v:13:y:2012:i:3:p:245-256
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gordon Jochem Klein, 2019. "Cartel Destabilization and Leniency Programs – Empirical Evidence," Economics Bulletin, AccessEcon, vol. 39(3), pages 1918-1924.
    2. Silveira, Douglas & Vasconcelos, Silvinha & Resende, Marcelo & Cajueiro, Daniel O., 2022. "Won’t Get Fooled Again: A supervised machine learning approach for screening gasoline cartels," Energy Economics, Elsevier, vol. 105(C).
    3. 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.
    4. Andreoli-Versbach, Patrick & Franck, Jens-Uwe, 2013. "Actions Speak Louder than Words: Econometric Evidence to Target Tacit Collusion in Oligopolistic Markets," Discussion Papers in Economics 16179, University of Munich, Department of Economics.
    5. Andrei Y. Shastitko & Svetlana V. Golovanova, 2014. "Collusion in markets characterized by one large buyer: lessons learned from an antitrust case in Russia," HSE Working papers WP BRP 49/EC/2014, National Research University Higher School of Economics.
    6. Bejger, Sylwester, 2015. "Screening for collusion: Evidences from the Indian cement industry," Business and Economic Horizons (BEH), Prague Development Center (PRADEC), vol. 11(2), pages 1-19.
    7. Andreoli-Versbach, Patrick & Franck, Jens-Uwe, 2015. "Endogenous price commitment, sticky and leadership pricing: Evidence from the Italian petrol market," International Journal of Industrial Organization, Elsevier, vol. 40(C), pages 32-48.
    8. Daniele Cavicchioli, 2018. "Detecting Market Power Along Food Supply Chains: Evidence and Methodological Insights from the Fluid Milk Sector in Italy," Agriculture, MDPI, vol. 8(12), pages 1-22, December.
    9. Jan Hendrik Preißler-Jebe, Korbinian von Blanckenburg, Alexander Geist, "undated". "Comparing Cartel Behavior: A Simulation Analysis with the System of Cartel Markers (SCM)," Working Papers 201041, Institute of Spatial and Housing Economics, Munster Universitary.
    10. 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..
    11. 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.
    12. Yaseen GHULAM, 2018. "The Impact Of Reforms And Privatization On Firms’ Conduct In The Presence Of Interconnected Conglomerates And Weak And Inefficient Regulatory Institutions," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 89(4), pages 599-622, December.

    More about this item

    JEL classification:

    • L10 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - General
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:germec:v:13:y:2012:i:3:p:245-256. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/vfsocea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.