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Detection of collusion in an industry with application of wavelet analysis – empirical research

Author

Listed:
  • Sylwester Bejger

    (Wydzial Nauk Ekonomicznych i Zarzadzania UMK)

  • Joanna Bruzda

    (Wydzial Nauk Ekonomicznych i Zarzadzania UMK)

Abstract

In this paper we verify usefulness of a variance marker of collusion in an application to Lysine prices during well known cartel/competition episode. As an econometric method of detection of structural change in price volatility during collusive and competitive phase wavelet analysis was applied. This method, relatively new in the context of cartel detection has some attractive features for such an applications. It is not data demanding and has very good localization power in a time domain. Our work was motivated by theoretical supergame model of collusion based on fixed cartel quota exogenously provided by cartel members’ agreement we developed in first part of our work.

Suggested Citation

  • Sylwester Bejger & Joanna Bruzda, 2010. "Detection of collusion in an industry with application of wavelet analysis – empirical research," Acta Universitatis Nicolai Copernici, Ekonomia, Uniwersytet Mikolaja Kopernika, vol. 41, pages 27-42.
    • Handle: RePEc:cpn:umkanc:2010:p:27-42
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    Cited by:

    1. Bejger, Sylwester, 2010. "Collusion and seasonality of market price - A case of fixed market shares," Business and Economic Horizons (BEH), Prague Development Center (PRADEC), vol. 2(2), pages 1-12, July.

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