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On the estimation of marginal cost

  • Delis, Manthos D
  • Iosifidi, Maria
  • Tsionas, Efthymios

This article proposes a general empirical method for the estimation of marginal cost of individual firms. The new method employs the smooth coefficient model, which has a number of appealing features when applied to cost functions. The empirical analysis uses data from a unique sample from which we observe marginal cost. We compare the estimates from the proposed method with the true values of marginal cost, and the estimates of marginal cost that we obtain through conventional parametric methods. We show that the proposed method produces estimated values of marginal cost that very closely approximate the true values of marginal cost. In contrast, the results from conventional parametric methods are significantly biased and provide invalid inference.

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File URL: https://mpra.ub.uni-muenchen.de/43514/1/MPRA_paper_43514.pdf
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 43514.

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Date of creation: 01 Dec 2012
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Handle: RePEc:pra:mprapa:43514
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  1. Andreas Savvides & Theofanis P. Mamuneas & Thanasis Stengos, 2006. "Economic development and the return to human capital: a smooth coefficient semiparametric approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(1), pages 111-132.
  2. Subal Kumbhakar & Efthymios Tsionas, 2008. "Scale and efficiency measurement using a semiparametric stochastic frontier model: evidence from the U.S. commercial banks," Empirical Economics, Springer, vol. 34(3), pages 585-602, June.
  3. Aviv Nevo, 2003. "Measuring Market Power in the Ready-to-Eat Cereal Industry," Microeconomics 0303006, EconWPA.
  4. Kumbhakar, Subal C. & Park, Byeong U. & Simar, Leopold & Tsionas, Efthymios G., 2007. "Nonparametric stochastic frontiers: A local maximum likelihood approach," Journal of Econometrics, Elsevier, vol. 137(1), pages 1-27, March.
  5. Hall, Robert E, 1988. "The Relation between Price and Marginal Cost in U.S. Industry," Journal of Political Economy, University of Chicago Press, vol. 96(5), pages 921-47, October.
  6. David Genesove & Wallace P. Mullin, 1998. "Testing Static Oligopoly Models: Conduct and Cost in the Sugar Industry, 1890-1914," RAND Journal of Economics, The RAND Corporation, vol. 29(2), pages 355-377, Summer.
  7. Zhang, Wenyang & Lee, Sik-Yum & Song, Xinyuan, 2002. "Local Polynomial Fitting in Semivarying Coefficient Model," Journal of Multivariate Analysis, Elsevier, vol. 82(1), pages 166-188, July.
  8. Roeger, Werner, 1995. "Can Imperfect Competition Explain the Difference between Primal and Dual Productivity Measures? Estimates for U.S. Manufacturing," Journal of Political Economy, University of Chicago Press, vol. 103(2), pages 316-30, April.
  9. Sigbjorn Atle Berg & Moshe Kim, 1996. "Banks as multioutput oligopolies: an empirical evaluation of the retail and corporate banking markets," Proceedings 503, Federal Reserve Bank of Chicago.
  10. Dae-Wook Kim & Christopher R. Knittel, 2006. "BIASES IN STATIC OLIGOPOLY MODELS? EVIDENCE FROM THE CALIFORNIA ELECTRICITY MARKET -super-* ," Journal of Industrial Economics, Wiley Blackwell, vol. 54(4), pages 451-470, December.
  11. Valentina Hartarska & Christopher F. Parmeter & Denis Nadolnyak, 2010. "Economies of Scope of Lending and Mobilizing Deposits in Microfinance Institutions: A Semiparametric Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(2), pages 389-398.
  12. Markus Frölich, 2008. "Parametric and Nonparametric Regression in the Presence of Endogenous Control Variables," International Statistical Review, International Statistical Institute, vol. 76(2), pages 214-227, 08.
  13. Michael Koetter & James W. Kolari & Laura Spierdijk, 2012. "Enjoying the Quiet Life under Deregulation? Evidence from Adjusted Lerner Indices for U.S. Banks," The Review of Economics and Statistics, MIT Press, vol. 94(2), pages 462-480, May.
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