IDEAS home Printed from https://ideas.repec.org/a/bla/jageco/v60y2009i2p318-333.html
   My bibliography  Save this article

Nonparametric Estimation of Oligopsony Power in First-Price Auction

Author

Listed:
  • Chanjin Chung
  • Emílio Tostão

Abstract

This paper proposes a nonparametric procedure to estimate market power for first-price auction data and applies the procedure to cattle procurement markets. Most previous studies have used parametric methods, which require specific functional forms for retail demand, input supply and processors' cost equations. However, researchers often find that market power estimates from parametric methods are sensitive to the choice of functional forms and specifications. An application to data from cattle procurement experiments shows that our nonparametric approach greatly outperforms commonly used parametric methods in estimating the degree of market power. While parametric estimates are sensitive to functional form specification and are at least 90% smaller than 'true' market power indices, estimates from our nonparametric procedure deviate from the actual value by no more than 25%. Copyright (c) 2009 The Authors. Journal compilation (c) 2009 The Agricultural Economics Society.

Suggested Citation

  • Chanjin Chung & Emílio Tostão, 2009. "Nonparametric Estimation of Oligopsony Power in First-Price Auction," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(2), pages 318-333.
  • Handle: RePEc:bla:jageco:v:60:y:2009:i:2:p:318-333
    as

    Download full text from publisher

    File URL: http://www.blackwell-synergy.com/doi/abs/10.1111/j.1477-9552.2008.00188.x
    File Function: link to full text
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Emmanuel Guerre & Isabelle Perrigne & Quang Vuong, 2000. "Optimal Nonparametric Estimation of First-Price Auctions," Econometrica, Econometric Society, vol. 68(3), pages 525-574, May.
    2. Hal R. Varian, 1983. "Non-parametric Tests of Consumer Behaviour," Review of Economic Studies, Oxford University Press, vol. 50(1), pages 99-110.
    3. H. Alan Love & C. Richard Shumway, 1994. "Nonparametric Tests for Monopsonistic Market Power Exertion," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(5), pages 1156-1162.
    4. Ward, Clement E., 2005. "Price Discovery and Pricing Choice Under Divergent Supply Scenarios in an Experimental Market for Fed Cattle," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 30(03), December.
    5. John M. Crespi & Richard J. Sexton, 2004. "Bidding for Cattle in the Texas Panhandle," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(3), pages 660-674.
    6. Ward, Clement E., 2002. "A Review of Causes for and Consequences of Economic Concentration in the U.S. Meatpacking Industry," CAFRI: Current Agriculture, Food and Resource Issues, Canadian Agricultural Economics Society, issue 03.
    7. A. M. Azzam & E. Pagoulatos, 1990. "Testing Oligopolistic And Oligopsonistic Behaviour: An Application To The Us Meat-Packing Industry," Journal of Agricultural Economics, Wiley Blackwell, vol. 41(3), pages 362-370.
    8. John DiNardo & Justin L. Tobias, 2001. "Nonparametric Density and Regression Estimation," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 11-28, Fall.
    9. Schroeter, John R, 1988. "Estimating the Degree of Market Power in the Beef Packing Industry," The Review of Economics and Statistics, MIT Press, vol. 70(1), pages 158-162, February.
    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. 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.
    12. Baldwin, Laura H & Marshall, Robert C & Richard, Jean-Francois, 1997. "Bidder Collusion at Forest Service Timber Sales," Journal of Political Economy, University of Chicago Press, vol. 105(4), pages 657-699, August.
    13. Susan Athey & Philip A. Haile, 2002. "Identification of Standard Auction Models," Econometrica, Econometric Society, vol. 70(6), pages 2107-2140, November.
    14. Yin Xia & Steven Buccola, 2002. "Size, cost, and productivity in the meat processing industries," Agribusiness, John Wiley & Sons, Ltd., vol. 18(3), pages 283-299.
    15. Rigoberto Lopez & Azzeddine Azzam & Carmen Lirón-España, 2002. "Market Power and/or Efficiency: A Structural Approach," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 20(2), pages 115-126, March.
    16. Laffont, Jean-Jacques & Vuong, Quang, 1996. "Structural Analysis of Auction Data," American Economic Review, American Economic Association, vol. 86(2), pages 414-420, May.
    17. Azzam, Azzeddine M, 1997. "Measuring Market Power and Cost-Efficiency Effects of Industrial Concentration," Journal of Industrial Economics, Wiley Blackwell, vol. 45(4), pages 377-386, December.
    18. Appelbaum, Elie, 1982. "The estimation of the degree of oligopoly power," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 287-299, August.
    19. Paul J. Driscoll & S. Murthy Kambhampaty & Wayne D. Purcell, 1997. "Nonparametric Tests of Profit Maximization in Oligopoly with Application to the Beef Packing Industry," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(3), pages 872-879.
    20. Joyce J. Wann & Sexton Richard J., 1992. "Imperfect Competition in Multiproduct Food Industries with Application to Pear Processing," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(4), pages 980-990.
    21. Ashenfelter, Orley & Sullivan, Daniel, 1987. "Nonparametric Tests of Market Structure: An Application to the Cigarette Industry," Journal of Industrial Economics, Wiley Blackwell, vol. 35(4), pages 483-498, June.
    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. Chanjin Chung & Youg Sook Eom & Byung Woo Yang, 2014. "Optimal Generic Advertising under Bilateral Imperfect Competition between Processors and Retailers," Agribusiness, John Wiley & Sons, Ltd., vol. 30(4), pages 438-455, September.

    More about this item

    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:bla:jageco:v:60:y:2009:i:2:p:318-333. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley-Blackwell Digital Licensing) or (Christopher F. Baum). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0021-857X .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.