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Calculating the damage of a cartel subject to transition periods: The international uranium cartel in the 1970s

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  • Lunde, Asger
  • Sandberg, Rickard
  • Söderberg, Magnus
Abstract
The theory about cartel pricing and descriptive price statistics suggests that the price path over a cartel life cycle can be subject to gradual, non-linear transitions where the price path moves from (to) the non-collusive to (from) the maximum collusive equilibrium. Ignoring such transitions can lead to biased estimates of the cartel and damage effects. Smooth transition regression (STR) models are a class of models well suited to capture such transitions, also under realistic conditions when the transition start and end dates are uncertain, and when the two transitions are asymmetric. We evaluate the international uranium cartel during the 1970s, using both the mainstream approach based on a linear specification with a dummy variable to capture the cartel, and an STR model. We are the first to use STR models in the evaluation of a cartel/damage effect. Using the STR model, we find that the damage effect is about 18 times higher as compared to the mainstream model.

Suggested Citation

  • Lunde, Asger & Sandberg, Rickard & Söderberg, Magnus, 2019. "Calculating the damage of a cartel subject to transition periods: The international uranium cartel in the 1970s," Energy Economics, Elsevier, vol. 84(C).
  • Handle: RePEc:eee:eneeco:v:84:y:2019:i:c:s0140988319302683
    DOI: 10.1016/j.eneco.2019.104487
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    1. Kai Hüschelrath & Kathrin Müller & Tobias Veith, 2013. "Concrete Shoes For Competition: The Effect Of The German Cement Cartel On Market Price," Journal of Competition Law and Economics, Oxford University Press, vol. 9(1), pages 97-123.
    2. Joseph E. Harrington & Andrzej Skrzypacz, 2011. "Private Monitoring and Communication in Cartels: Explaining Recent Collusive Practices," American Economic Review, American Economic Association, vol. 101(6), pages 2425-2449, October.
    3. 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.
    4. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    5. Franses,Philip Hans & Dijk,Dick van, 2000. "Non-Linear Time Series Models in Empirical Finance," Cambridge Books, Cambridge University Press, number 9780521770415, September.
    6. Terasvirta, Timo & Tjostheim, Dag & Granger, Clive W. J., 2010. "Modelling Nonlinear Economic Time Series," OUP Catalogue, Oxford University Press, number 9780199587155.
    7. Joseph E. Harrington, 2004. "Post‐Cartel Pricing During Litigation," Journal of Industrial Economics, Wiley Blackwell, vol. 52(4), pages 517-533, December.
    8. Michael A. Utton, 2006. "International Competition Policy," Books, Edward Elgar Publishing, number 4010.
    9. Changli He & Rickard Sandberg, 2006. "Dickey–Fuller Type of Tests against Nonlinear Dynamic Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(s1), pages 835-861, December.
    10. Fabra, Natalia & Toro, Juan, 2005. "Price wars and collusion in the Spanish electricity market," International Journal of Industrial Organization, Elsevier, vol. 23(3-4), pages 155-181, April.
    11. Bolotova, Yuliya & Connor, John M. & Miller, Douglas J., 2008. "The impact of collusion on price behavior: Empirical results from two recent cases," International Journal of Industrial Organization, Elsevier, vol. 26(6), pages 1290-1307, November.
    12. Kahouli, Sondès, 2011. "Effects of technological learning and uranium price on nuclear cost: Preliminary insights from a multiple factors learning curve and uranium market modeling," Energy Economics, Elsevier, vol. 33(5), pages 840-852, September.
    13. Amavilah, Voxi Heinrich S., 1995. "The capitalist world aggregate supply and demand model for natural uranium," Energy Economics, Elsevier, vol. 17(3), pages 211-220, July.
    14. Jansen, Eilev S & Terasvirta, Timo, 1996. "Testing Parameter Constancy and Super Exogeneity in Econometric Equations," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 58(4), pages 735-763, November.
    15. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    16. Perdiguero García, Jordi, 2010. "Dynamic pricing in the spanish gasoline market: A tacit collusion equilibrium," Energy Policy, Elsevier, vol. 38(4), pages 1931-1937, April.
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    Cited by:

    1. Correa-Giraldo, Manuel & Garcia-Rendon, John J. & Perez, Alex, 2021. "Strategic behaviors and transfer of wholesale costs to retail prices in the electricity market: Evidence from Colombia," Energy Economics, Elsevier, vol. 99(C).

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    More about this item

    Keywords

    Cartel; Damage; Transition; Uranium; Smooth transition regression models;
    All these keywords.

    JEL classification:

    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • L42 - Industrial Organization - - Antitrust Issues and Policies - - - Vertical Restraints; Resale Price Maintenance; Quantity Discounts
    • L72 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - Mining, Extraction, and Refining: Other Nonrenewable Resources

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