IDEAS home Printed from https://ideas.repec.org/p/ags/aaea99/21645.html
   My bibliography  Save this paper

Nonstructural And Statistical Nonparametric Market Power Tests: An Empirical Investigation

Author

Listed:
  • Noelke, Corinna M.
  • Raper, Kellie Curry

Abstract

We use Monte Carlo experiments to assess the accuracy of two nonstructural and two statistical nonparametric market power tests. We implement these monopoly and monopsony market power tests using data from ten known market structures. The objective is to determine which test is most able to distinguish between market structures. The statistical nonparametric market power tests appear to be promising.

Suggested Citation

  • Noelke, Corinna M. & Raper, Kellie Curry, 1999. "Nonstructural And Statistical Nonparametric Market Power Tests: An Empirical Investigation," 1999 Annual meeting, August 8-11, Nashville, TN 21645, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea99:21645
    as

    Download full text from publisher

    File URL: http://purl.umn.edu/21645
    Download Restriction: no

    References listed on IDEAS

    as
    1. Raper, Kellie Curry & Love, H. Alan & Shumway, C. Richard, 1998. "Distinguishing The Source Of Market Power: An Application To Cigarette Manufacturing," Faculty Paper Series 24021, Texas A&M University, Department of Agricultural Economics.
    2. Bresnahan, Timothy F., 1982. "The oligopoly solution concept is identified," Economics Letters, Elsevier, vol. 10(1-2), pages 87-92.
    3. Hyde, Charles & Perloff, Jeffrey M, 1993. "Can market power be estimated?," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt6d7127mr, Department of Agricultural & Resource Economics, UC Berkeley.
    4. Lau, Lawrence J., 1982. "On identifying the degree of competitiveness from industry price and output data," Economics Letters, Elsevier, vol. 10(1-2), pages 93-99.
    5. Varian, Hal R., 1982. "Non-parametric methods in demand analysis," Economics Letters, Elsevier, vol. 9(1), pages 23-29.
    6. repec:cdl:agrebk:677104 is not listed on IDEAS
    7. Sullivan, Daniel, 1985. "Testing Hypotheses about Firm Behavior in the Cigarette Industry," Journal of Political Economy, University of Chicago Press, vol. 93(3), pages 586-598, June.
    8. Varian, Hal R., 1990. "Goodness-of-fit in optimizing models," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 125-140.
    9. 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.
    10. Lambert, David K., 1994. "Technological Change in Meat and Poultry-Packing and Processing," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 26(02), pages 591-604, December.
    11. Epstein, Larry G. & Yatchew, Adonis J., 1985. "Non-parametric hypothesis testing procedures and applications to demand analysis," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 149-169.
    12. Appelbaum, Elie, 1979. "Testing price taking behavior," Journal of Econometrics, Elsevier, vol. 9(3), pages 283-294, February.
    13. Chris Fawson & C. Richard Shumway, 1988. "A Nonparametric Investigation of Agricultural Production Behavior for U.S. Subregions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(2), pages 311-317.
    14. Varian, Hal R., 1985. "Non-parametric analysis of optimizing behavior with measurement error," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 445-458.
    15. 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)

    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:ags:aaea99:21645. 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: (AgEcon Search). General contact details of provider: http://edirc.repec.org/data/aaeaaea.html .

    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.