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Nonstructural And Statistical Nonparametric Market Power Tests: An Empirical Investigation

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Author Info
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.

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File URL: http://purl.umn.edu/21645
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Publisher Info
Paper provided by American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) in its series 1999 Annual meeting, August 8-11, Nashville, TN with number 21645.

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Date of creation: 1999
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Handle: RePEc:ags:aaea99:21645

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Related research
Keywords: market power; Monte Carlo; nonparametric; nonstructural; Industrial Organization; Research Methods/ Statistical Methods;

References listed on IDEAS
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  1. Varian, Hal R., 1990. "Goodness-of-fit in optimizing models," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 125-140. [Downloadable!] (restricted)
  2. 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. [Downloadable!] (restricted)
  3. Appelbaum, Elie, 1979. "Testing price taking behavior," Journal of Econometrics, Elsevier, vol. 9(3), pages 283-294, February. [Downloadable!] (restricted)
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