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Tracing the Base: A Topographic Test for Collusive Basing-Point Pricing

Author

Listed:
  • Iwan Bos

    (University of Amsterdam)

  • Maarten Pieter Schinkel

    (University of Amsterdam)

Abstract

Basing-point pricing is known to have been abused by geographically dispersed firms in order to eliminate competition on transportation costs. This paper develops a topographic test for collusive basing-point pricing. The method uses transaction data (prices, quantities) and customer project site locations to recover the basing-point(s) from which delivered prices were calculated. These bases are compared to the locations of the production mills in a test that discriminates between competitive and collusive basing-point pricing. We define a measure for the likelihood of collusion that can be used to screen industries that traditionally apply delivered pricing for the presence of cartels. We operationalize this screen with a software. The test is hard to beat for cartels using this otherwise elusive form of price-fixing. When a cartel was found to have abused the basing-point system, our method can be used to estimate antitrust damages.

Suggested Citation

  • Iwan Bos & Maarten Pieter Schinkel, 2009. "Tracing the Base: A Topographic Test for Collusive Basing-Point Pricing," Tinbergen Institute Discussion Papers 09-007/1, Tinbergen Institute.
  • Handle: RePEc:tin:wpaper:20090007
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    File URL: https://papers.tinbergen.nl/09007.pdf
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    References listed on IDEAS

    as
    1. Benson, Bruce L & Greenhut, Melvin L & Norman, George, 1990. "On the Basing-Point System," American Economic Review, American Economic Association, vol. 80(3), pages 584-588, June.
    2. Patrick Bajari & Lixin Ye, 2003. "Deciding Between Competition and Collusion," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 971-989, November.
    3. Maarten Pieter Schinkel & Jan Tuinstra & Jakob Rüggeberg, 2008. "Illinois Walls: how barring indirect purchaser suits facilitates collusion," RAND Journal of Economics, RAND Corporation, vol. 39(3), pages 683-698, September.
    4. Porter, Robert H & Zona, J Douglas, 1993. "Detection of Bid Rigging in Procurement Auctions," Journal of Political Economy, University of Chicago Press, vol. 101(3), pages 518-538, June.
    5. Gilligan, Thomas W, 1992. "Imperfect Competition and Basing-Point Pricing: Evidence from the Softwood Plywood Industry," American Economic Review, American Economic Association, vol. 82(5), pages 1106-1119, December.
    6. Joseph E. Harrington, Jr., 2004. "Cartel Pricing Dynamics in the Presence of an Antitrust Authority," RAND Journal of Economics, The RAND Corporation, vol. 35(4), pages 651-673, Winter.
    7. Cabou, Christian G & Haddock, David D & Thorne, Michele H, 1992. "An Analytic History of Delivered Price Litigation: Do Courts Properly Distinguish Rivalrous from Collusive Instances?," Economic Inquiry, Western Economic Association International, vol. 30(2), pages 307-321, April.
    8. Abrantes-Metz, Rosa M. & Froeb, Luke M. & Geweke, John & Taylor, Christopher T., 2006. "A variance screen for collusion," International Journal of Industrial Organization, Elsevier, vol. 24(3), pages 467-486, May.
    9. Thisse, Jacques-Francois & Vives, Xavier, 1988. "On the Strategic Choice of Spatial Price Policy," American Economic Review, American Economic Association, vol. 78(1), pages 122-137, March.
    10. Carl Kaysen, 1949. "Basing Point Pricing and Public Policy," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 63(3), pages 289-314.
    11. Robert H. Porter & J. Douglas Zona, 1999. "Ohio School Milk Markets: An Analysis of Bidding," RAND Journal of Economics, The RAND Corporation, vol. 30(2), pages 263-288, Summer.
    12. Carlton, Dennis W, 1983. "A Reexamination of Delivered Pricing Systems," Journal of Law and Economics, University of Chicago Press, vol. 26(1), pages 51-70, April.
    13. Haddock, David D, 1982. "Basing-Point Pricing: Competitive vs. Collusive Theories," American Economic Review, American Economic Association, vol. 72(3), pages 289-306, June.
    14. Soper, Jean B, et al, 1991. "Basing Point Pricing and Production Concentration," Economic Journal, Royal Economic Society, vol. 101(406), pages 539-556, May.
    15. Haddock, David D, 1990. "On the Basing-Point System: Comment," American Economic Review, American Economic Association, vol. 80(4), pages 957-962, September.
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    More about this item

    Keywords

    basing-point pricing; cartels; detection; antitrust; damages;
    All these keywords.

    JEL classification:

    • L41 - Industrial Organization - - Antitrust Issues and Policies - - - Monopolization; Horizontal Anticompetitive Practices
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General

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