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Biases in Static Oligopoly Models? Evidence from the California Electricity Market Author info | Abstract | Publisher info | Download info | Related research | Statistics Knittel, Christopher (U of California, Davis)
Kim, Dae-Wook (U of California, Davis)
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Estimating market power is often complicated by a lack of reliable marginal cost data. Instead, policy-makers often rely on summary statistics of the market, thought to be correlated with price cost margins--such as concentration ratios or the HHI. In many industries, these summary statistics may be only weakly correlated with deviations from marginal cost pricing. Beginning with Gollop and Roberts (1979), a number of empirical studies identify industry competition and marginal cost levels by estimating the firms' first order condition within a conjectural variations framework. Despite the prevalence of such "New Empirical Industrial Organization" (NEIO) studies, Corts (1999) illustrates the estimated mark-ups may be biased, since the estimated conjectural variations model forces the supply relationship to be a ray through the marginal cost intercept, whereas this need not be true in dynamic games. In this paper, we use direct measures of marginal cost for the California electricity market to measure the extent to which estimated mark-ups and marginal costs are biased. Our results suggest that the NEIO technique poorly estimates mark-ups and the sensitivity of marginal cost to cost shifters.
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Paper provided by University of California at Davis, Department of Economics in its series Working Papers with number
05-26.
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Date of creation: Sep 2005Date of revision:
Handle: RePEc:ecl:ucdeco:05-26Contact details of provider: Postal: One Shields Ave., Davis, CA 95616-8578 Phone: (530) 752-0741 Fax: (530) 752-9382 Email: Web page: http://www.econ.ucdavis.edu/working_search.cfm More information through EDIRC
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