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Determining market power exertion between buyers and sellers: are nonparametrics a viable alternative?

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  • Kellie Curry Raper
  • Corinna Noelke

Abstract

A review of recent literature reveals the development of several deterministic non-parametric (DNP) tests of market power. The performance of selected DNP market power tests is ascertained to determine their usefulness as an alternative to data-hungry parametric market power tests. This assessment is carried out through implementation of Monte Carlo experiments using data sets from ten known market structures. Only two of the six DNP tests appear able to satisfactorily identify market power.

Suggested Citation

  • Kellie Curry Raper & Corinna Noelke, 2004. "Determining market power exertion between buyers and sellers: are nonparametrics a viable alternative?," Applied Economics, Taylor & Francis Journals, vol. 36(20), pages 2265-2274.
  • Handle: RePEc:taf:applec:v:36:y:2004:i:20:p:2265-2274 DOI: 10.1080/0003684042000281570
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    References listed on IDEAS

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    1. Kellie Curry Raper & H. Alan Love & C. Richard Shumway, 2000. "Determining market power exertion between buyers and sellers," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(3), pages 225-252.
    2. 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.
    3. Chavas, Jean-Paul & Cox, Thomas L, 1990. "A Non-parametric Analysis of Productivity: The Case of U.S. and Japanese Manufacturing," American Economic Review, American Economic Association, vol. 80(3), pages 450-464, June.
    4. repec:cdl:agrebk:677104 is not listed on IDEAS
    5. Hanoch, Giora & Rothschild, Michael, 1972. "Testing the Assumptions of Production Theory: A Nonparametric Approach," Journal of Political Economy, University of Chicago Press, vol. 80(2), pages 256-275, March-Apr.
    6. Cox, Thomas L & Chavas, Jean-Paul, 1990. "A Nonparametric Analysis of Productivity: The Case of U.S. Agriculture," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 17(4), pages 449-464.
    7. Varian, Hal R., 1990. "Goodness-of-fit in optimizing models," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 125-140.
    8. 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.
    9. Bresnahan, Timothy F., 1982. "The oligopoly solution concept is identified," Economics Letters, Elsevier, vol. 10(1-2), pages 87-92.
    10. Varian, Hal R, 1984. "The Nonparametric Approach to Production Analysis," Econometrica, Econometric Society, vol. 52(3), pages 579-597, May.
    11. 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.
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    Cited by:

    1. Jean-Philippe Gervais & Stephen Devadoss, 2006. "Estimating bargaining strengths of Canadian chicken producers and processors using a bilateral monopoly framework," Agribusiness, John Wiley & Sons, Ltd., vol. 22(2), pages 159-173.
    2. Ronchi, Loraine, 2006. "Fairtrade and market failures in agricultural commodity markets," Policy Research Working Paper Series 4011, The World Bank.

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