Abstract
Simulation experiments demonstrate the strengths and weaknesses of the Panzar-Rosse, Hall, and structural approaches to estimating or testing market power. The structural model works well only if it is properly specified. The Hall methods works well in industries with constant retums to scale (CRS); however, even slight deviations from CRS lead to serious biases. Although easier to use than the structural approach, the Panzar-Rosse approach cannot distinguish between collusion and competition for some technologies. Some empirical applications of the Hall and Panzar-Rosse methods are provided.
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We thank Wayne Gray for generously providing data, James Chalfant for helpful discussions on estimating nonlinear models, and two anonymous referees for helpful suggestions. Shazam 7.0 was used for both simulations and estimations.
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Hyde, C.E., Perloff, J.M. Can market power be estimated?. Rev Ind Organ 10, 465–485 (1995). https://doi.org/10.1007/BF01024231
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DOI: https://doi.org/10.1007/BF01024231