IDEAS home Printed from https://ideas.repec.org/p/tse/wpaper/32100.html

Competition Policy Evaluation through Damage Estimation in Fuel Retail Cartel

Author

Listed:
  • Cuiabano, Simone

Abstract

I estimate the fuel retailer cartel damages in the south of Brazil using reduced and structural forms for supply and demand. Brazilian Competition Authority (CADE) documents help to characterize the ethanol and gasoline retailers involved in the collusion. The objective is to evaluate competition policy by comparing the amount of estimated damages with the amount of applied fines. This paper also adds an important result to gasoline substitution, as data shows that ethanol is perceived as a perfect substitute and it is price inelastic. Results show an overcharge of 4.6% to 6.6% in the gasoline market and up to 12% in the ethanol market during collusion. Fines should consider the deterrence effect and, giving the low probability of detection, CADE’s applied fines seemed to be in line with this objective.

Suggested Citation

  • Cuiabano, Simone, 2017. "Competition Policy Evaluation through Damage Estimation in Fuel Retail Cartel," TSE Working Papers 17-847, Toulouse School of Economics (TSE).
  • Handle: RePEc:tse:wpaper:32100
    as

    Download full text from publisher

    File URL: https://www.tse-fr.eu/sites/default/files/TSE/documents/doc/wp/2017/wp_tse_847.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Anderson, Soren T., 2012. "The demand for ethanol as a gasoline substitute," Journal of Environmental Economics and Management, Elsevier, vol. 63(2), pages 151-168.
    2. Robert Clark & Jean-Fran?ois Houde, 2013. "Collusion with Asymmetric Retailers: Evidence from a Gasoline Price-Fixing Case," American Economic Journal: Microeconomics, American Economic Association, vol. 5(3), pages 97-123, August.
    3. Bonnet, Céline & Dubois, Pierre, 2010. "Non Linear Contracting and Endogenous Buyer Power between Manufacturers and Retailers: Empirical Evidence on Food Retailing in France," IDEI Working Papers 638, Institut d'Économie Industrielle (IDEI), Toulouse.
    4. Sylvain Weber & Martin Péclat, 2017. "A simple command to calculate travel distance and travel time," Stata Journal, StataCorp LLC, vol. 17(4), pages 962-971, December.
    5. Robert Clark & Jean-François Houde, 2014. "The Effect of Explicit Communication on pricing: Evidence from the Collapse of a Gasoline Cartel," Journal of Industrial Economics, Wiley Blackwell, vol. 62(2), pages 191-228, June.
    6. Salvo, Alberto & Huse, Cristian, 2013. "Build it, but will they come? Evidence from consumer choice between gasoline and sugarcane ethanol," Journal of Environmental Economics and Management, Elsevier, vol. 66(2), pages 251-279.
    7. Nathan H. Miller & Matthew Osborne, 2014. "Spatial differentiation and price discrimination in the cement industry: evidence from a structural model," RAND Journal of Economics, RAND Corporation, vol. 45(2), pages 221-247, June.
    8. Sofia Berto Villas-Boas, 2007. "Using Retail Data For Upstream Merger Analysis," Journal of Competition Law and Economics, Oxford University Press, vol. 3(4), pages 689-715.
    9. Jean-Francois Houde, 2012. "Spatial Differentiation and Vertical Mergers in Retail Markets for Gasoline," American Economic Review, American Economic Association, vol. 102(5), pages 2147-2182, August.
    10. repec:aen:journl:32-3-a05 is not listed on IDEAS
    11. Bolotova, Yuliya V., 2009. "Cartel overcharges: An empirical analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 70(1-2), pages 321-341, May.
    12. Allain, Marie-Laure & Boyer, Marcel & Kotchoni, Rachidi & Ponssard, Jean-Pierre, 2015. "Are cartel fines optimal? Theory and evidence from the European Union," International Review of Law and Economics, Elsevier, vol. 42(C), pages 38-47.
    13. Connor, John M. & Bolotova, Yuliya, 2006. "Cartel overcharges: Survey and meta-analysis," International Journal of Industrial Organization, Elsevier, vol. 24(6), pages 1109-1137, November.
    14. Dubois, Pierre & Bonnet, Céline, 2010. "Non Linear Contracting and Endogenous Buyer Power between Manufacturers and Retailers: Empirical Evidence on Food Retailing in," CEPR Discussion Papers 8029, C.E.P.R. Discussion Papers.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. 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).
    2. Koski, Heli, 2018. "How Do Competition Policy and Data Brokers Shape Product Market Competition?," ETLA Working Papers 61, The Research Institute of the Finnish Economy.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. González, Xulia & Moral, María J., 2019. "Effects of antitrust prosecution on retail fuel prices," International Journal of Industrial Organization, Elsevier, vol. 67(C).
    2. Rickert, Dennis & Wey, Christian & Haucap, Justus & Heimeshoff, Ulrich & Klein, Gordon J., 2013. "Inter-Format Competition among Retailers - The Role of Private Label Products in Market Delineation," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79797, Verein für Socialpolitik / German Economic Association.
    3. Juan Esteban Carranza & Robert Clark & Jean-François Houde, 2015. "Price Controls and Market Structure: Evidence from Gasoline Retail Markets," Journal of Industrial Economics, Wiley Blackwell, vol. 63(1), pages 152-198, March.
    4. Walter Beckert, 2018. "An Empirical Analysis of Countervailing Power in Business-to-Business Bargaining," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 52(3), pages 369-402, May.
    5. Moritz Birgit & Becker Martin & Schmidtchen Dieter, 2018. "Measuring the Deterrent Effect of European Cartel Law Enforcement," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 18(3), pages 1-27, July.
    6. Salvo, Alberto, 2018. "Flexible fuel vehicles, less flexible minded consumers: Price information experiments at the pump," Journal of Environmental Economics and Management, Elsevier, vol. 92(C), pages 194-221.
    7. Michelsen, Carl Christian & Madlener, Reinhard, 2016. "Switching from fossil fuel to renewables in residential heating systems: An empirical study of homeowners' decisions in Germany," Energy Policy, Elsevier, vol. 89(C), pages 95-105.
    8. Christina Korting & Harry de Gorter & David R Just, 2019. "Who Will Pay for Increasing Biofuel Mandates? Incidence of the Renewable Fuel Standard Given a Binding Blend Wall," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(2), pages 492-506.
    9. Aaltio, Aapo & Buri, Riku & Jokelainen, Antto & Lundberg, Johan, 2025. "Complementary bidding and cartel detection: Evidence from Nordic asphalt markets," International Journal of Industrial Organization, Elsevier, vol. 98(C).
    10. Adhikari, Arnab & Sharma, Megha & Basu, Sumanta & Jha, Ashish Kumar, 2022. "Uniform or spatially differentiated? Pricing Strategies for Information Goods under simultaneous and sequential decision-making in multi-market context," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    11. Danial Asmat, 2021. "Collusion Along the Learning Curve: Theory and Evidence From the Semiconductor Industry," Journal of Industrial Economics, Wiley Blackwell, vol. 69(1), pages 83-108, March.
    12. Robert Clark & Decio Coviello & Jean-Fran�ois Gauthier & Art Shneyerov, 2018. "Bid Rigging and Entry Deterrence in Public Procurement: Evidence from an Investigation into Collusion and Corruption in Quebec," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 34(3), pages 301-363.
    13. Victor Aguirregabiria & Margaret Slade, 2017. "Empirical models of firms and industries," Canadian Journal of Economics, Canadian Economics Association, vol. 50(5), pages 1445-1488, December.
    14. Iwan Bos & Stephen Davies & Peter L. Ormosi, 2014. "The deterrent effect of anti-cartel enforcement: A tale of two tails," Working Paper series, University of East Anglia, Centre for Competition Policy (CCP) 2014-06v2, Centre for Competition Policy, University of East Anglia, Norwich, UK..
    15. Sofia Berto Villas‐Boas, 2009. "An empirical investigation of the welfare effects of banning wholesale price discrimination," RAND Journal of Economics, RAND Corporation, vol. 40(1), pages 20-46, March.
    16. Stephanie Assad & Robert Clark & Daniel Ershov & Lei Xu, 2020. "Algorithmic Pricing and Competition: Empirical Evidence from the German Retail Gasoline Market," CESifo Working Paper Series 8521, CESifo.
    17. Stephanie Assad & Emilio Calvano & Giacomo Calzolari & Robert Clark & Vincenzo Denicolò & Daniel Ershov & Justin Johnson & Sergio Pastorello & Andrew Rhodes & Lei Xu & Matthijs Wildenbeest, 2021. "Autonomous algorithmic collusion: economic research and policy implications," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 37(3), pages 459-478.
    18. Villas-Boas, Sofia Berto, 2007. "Wholesale Price Discrimination: Inference and Simulation," CUDARE Working Papers 7166, University of California, Berkeley, Department of Agricultural and Resource Economics.
    19. Aaron Barkley & David P. Byrne & Xiaosong Wu, 2022. "Price effects of calling out market power: A study of the COVID‐19 oil price shock," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 31(4), pages 923-941, November.
    20. Pereira, Pedro & Vareda, João, 2013. "How will telecommunications bundles impact competition and regulatory analysis?," Telecommunications Policy, Elsevier, vol. 37(6), pages 530-539.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:tse:wpaper:32100. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/tsetofr.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.