Parametric And Nonparametric Market Power Tests: An Empirical Investigation
Parametric and nonparametric market power tests most commonly used to assess imperfectly competitive behavior are identified. Monte Carlo experiments are used to assess the accuracy of eight nonparametric tests. The results are compared to Raper, Love, and Shumway's (1997) findings concerning three parametric market power tests in the Bresnahan-Lau tradition. Both monopolistic and monopsonistic market power tests are implemented using data from 10 known market structures. Only two of the nonparametric market power tests distinguish between market structures adequately. The parametric tests perform well, although functional form bias is not investigated in this study.
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- 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.
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- 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.
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- Kellie Curry Raper & H. Alan Love & C. Richard Shumway, 2007. "Distinguishing the Source of Market Power," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(1), pages 78-90.
- 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.
- repec:cdl:agrebk:677104 is not listed on IDEAS
- 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.
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