IDEAS home Printed from https://ideas.repec.org/p/wbk/wbrwps/4105.html
   My bibliography  Save this paper

Detecting collusion in timber auctions : an application to Romania

Author

Listed:
  • Saphores, Jean-Daniel
  • Vincent, Jeffrey R.
  • Marochko, Valy
  • Abrudan, Ioan
  • Bouriaud, Laura
  • Zinnes, Clifford

Abstract

Romania was one of the first transition countries in Europe to introduce auctions for allocating standing timber (stumpage) in public forests. In comparison with the former system in the country-administrative allocation at set prices-timber auctions offer several potential advantages: greater revenue generation for the government, a higher probability that tracts will be allocated to the firms that value them most highly, and stronger incentives for technological change within industry and efficiency gains in the public sector. Competition is the key to realizing these advantages. Unfortunately, collusion among bidders often limits competition in timber auctions, including in well-established market economies such as the United States. The result is that tracts sell below their fair market value, which undermines the advantages of auctions. This paper examines the Romanian auction system, with a focus on the use of econometric methods to detect collusion. It begins by describing the historical development of the system and the principal steps in the auction process. It then discusses the qualitative impacts of various economic and institutional factors, including collusion, on winning bids in different regions of the country. This discussion draws on information from a combination of sources, including unstructured interviews conducted with government officials and company representatives during 2003. Next, the paper summarizes key findings from the broader research literature on auctions, with an emphasis on empirical studies that have developed econometric methods for detecting collusion. It then presents an application of such methods to timber auction data from two forest directorates in Romania, Neamt and Suceava. This application confirms that data from Romanian timber auctions can be used to determine the likelihood of collusion, and it suggests that collusion reduced winning bids in Suceava in 2002 and perhaps also in Neamt. The paper concludes with a discussion of actions that the government can take to reduce the incidence of collusion and minimize its impact on auction outcomes.

Suggested Citation

  • Saphores, Jean-Daniel & Vincent, Jeffrey R. & Marochko, Valy & Abrudan, Ioan & Bouriaud, Laura & Zinnes, Clifford, 2006. "Detecting collusion in timber auctions : an application to Romania," Policy Research Working Paper Series 4105, The World Bank.
  • Handle: RePEc:wbk:wbrwps:4105
    as

    Download full text from publisher

    File URL: http://www-wds.worldbank.org/external/default/WDSContentServer/WDSP/IB/2006/12/27/000016406_20061227164638/Rendered/PDF/wps4105.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hendricks, Kenneth & Porter, Robert H, 1988. "An Empirical Study of an Auction with Asymmetric Information," American Economic Review, American Economic Association, vol. 78(5), pages 865-883, December.
    2. 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.
    3. 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.
    4. Kenneth Hendricks & Robert H. Porter, 1989. "Collusion in Auctions," Annals of Economics and Statistics, GENES, issue 15-16, pages 217-230.
    5. 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.
    6. Brannman, Lance Eric, 1996. "Potential Competition and Possible Collusion in Forest Service Timber Auctions," Economic Inquiry, Western Economic Association International, vol. 34(4), pages 730-745, October.
    7. Jean-Daniel Saphores & Lynda Khalaf & Denis Pelletier, 2002. "On Jumps and ARCH Effects in Natural Resource Prices: An Application to Pacific Northwest Stumpage Prices," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(2), pages 387-400.
    8. Graham, Daniel A & Marshall, Robert C, 1987. "Collusive Bidder Behavior at Single-Object Second-Price and English Auctions," Journal of Political Economy, University of Chicago Press, vol. 95(6), pages 1217-1239, December.
    9. Martin Pesendorfer, 2000. "A Study of Collusion in First-Price Auctions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 67(3), pages 381-411.
    10. Milgrom, Paul R & Weber, Robert J, 1982. "A Theory of Auctions and Competitive Bidding," Econometrica, Econometric Society, vol. 50(5), pages 1089-1122, September.
    11. repec:adr:anecst:y:1989:i:15-16:p:10 is not listed on IDEAS
    12. Marc S. Robinson, 1985. "Collusion and the Choice of Auction," RAND Journal of Economics, The RAND Corporation, vol. 16(1), pages 141-145, Spring.
    13. Khalaf, Lynda & Saphores, Jean-Daniel & Bilodeau, Jean-Francois, 2003. "Simulation-based exact jump tests in models with conditional heteroskedasticity," Journal of Economic Dynamics and Control, Elsevier, vol. 28(3), pages 531-553, December.
    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. Yuzhakov, Vladimir (Южаков, Владимир) & Dobrolyubova, Elena (Добролюбова, Елена) & Alexandrov, Oleg (Александров, Олег) & Klochkova, E (Клочкова, Е.), 2015. "Improving the Efficiency of the Public Service and Optimization of the Number of its Personnel Structure [Повышение Эффективности Государственной Службы И Оптимизация Численности Ее Кадрового Соста," Published Papers mn36, Russian Presidential Academy of National Economy and Public Administration.

    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. Sumit Joshi & Poorvi Vora, 2013. "Weak and strong multimarket bidding rings," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 53(3), pages 657-696, August.
    2. Patrick Bajari & Garrett Summers, "undated". "Detecting Collusion in Procurement Auctions: A Selective Survey of Recent Research," Working Papers 01014, Stanford University, Department of Economics.
    3. Biran, Omer, 2011. "Mécanismes d'échange en présence d'externalités," Economics Thesis from University Paris Dauphine, Paris Dauphine University, number 123456789/7238 edited by Forges, Françoise.
    4. Susan Athey & Philip A. Haile, 2006. "Empirical Models of Auctions," NBER Working Papers 12126, National Bureau of Economic Research, Inc.
    5. Maris Goldmanis & Antonio Penta & Francesco Decarolis, 2012. "Common Agency and Coordinated Bids in Sponsored Search Auctions," 2012 Meeting Papers 106, Society for Economic Dynamics.
    6. Loyola, Gino, 2008. "On bidding markets: the role of competition," UC3M Working papers. Economics we083318, Universidad Carlos III de Madrid. Departamento de Economía.
    7. Wang, Hong, 2017. "Information acquisition versus information manipulation in multi-period procurement markets," Information Economics and Policy, Elsevier, vol. 40(C), pages 48-59.
    8. Joseph E. Harrington, Jr, 2005. "Detecting Cartels," Economics Working Paper Archive 526, The Johns Hopkins University,Department of Economics.
    9. Lamy, Laurent, 2012. "The econometrics of auctions with asymmetric anonymous bidders," Journal of Econometrics, Elsevier, vol. 167(1), pages 113-132.
    10. Biran, Omer, 2011. "Core stable bidding rings in independent private value auctions with externalities," MPRA Paper 32164, University Library of Munich, Germany.
    11. Omer Biran, 2013. "Strategic collusion in auctions with externalities," Theory and Decision, Springer, vol. 75(1), pages 117-136, July.
    12. Hiroshi Ohashi, 2009. "Effects of Transparency in Procurement Practices on Government Expenditure: A Case Study of Municipal Public Works," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 34(3), pages 267-285, May.
    13. Mats A. Bergman & Johan Lundberg & Sofia Lundberg & Johan Y. Stake, 2020. "Interactions Across Firms and Bid Rigging," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 56(1), pages 107-130, February.
    14. Bergman, Mats A. & Lundberg, Johan & Lundberg, Sofia & Stake, Johan Y., 2015. "Using spatial econometrics to test for collusive behavior in procurement auction data," Umeå Economic Studies 917, Umeå University, Department of Economics.
    15. Gino Loyola, 2021. "Effects of competition in first-price auctions," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 71(4), pages 1527-1567, June.
    16. Waehrer, Keith, 1999. "Asymmetric private values auctions with application to joint bidding and mergers," International Journal of Industrial Organization, Elsevier, vol. 17(3), pages 437-452, April.
    17. Donna, Javier & Espin-Sanchez, Jose, 2014. "Complements and Substitutes in Sequential Auctions: The Case of Water Auctions," MPRA Paper 55079, University Library of Munich, Germany.
    18. Ken Hendricks & Robert Porter & Guofu Tan, 2003. "Bidding Rings and the Winner's Curse: The Case of Federal Offshore Oil and Gas Lease Auctions," NBER Working Papers 9836, National Bureau of Economic Research, Inc.
    19. Michael Beckmann, 2004. "Art Auctions and Bidding Rings: Empirical Evidence from German Auction Data," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 28(2), pages 125-141, May.
    20. Laffont, Jean-Jacques, 1997. "Game theory and empirical economics: The case of auction data 1," European Economic Review, Elsevier, vol. 41(1), pages 1-35, January.

    More about this item

    Keywords

    Forestry; Wildlife Resources; Markets and Market Access; Access to Markets; Technology Industry;
    All these keywords.

    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:wbk:wbrwps:4105. 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: Roula I. Yazigi (email available below). General contact details of provider: https://edirc.repec.org/data/dvewbus.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.