Abstract
In this paper we apply an innovative econometric tool to estimate mark-ups in an output market. The contribution of the paper is in the novel use of the stochastic frontier approach that is widely used to estimate efficiency. We show that this method, which we call the stochastic frontier estimator of market power, can be used both in the dual cost function framework and in the primal framework, and that mark-ups can be estimated with or without constant returns to scale. We apply this method to the Norwegian sawmilling industry, 1974–91.
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References
Baardsen S. (2000) An econometric analysis of Norwegian sawmilling 1974–1981 based on mill-level data. Forest Science 46(4): 537–547
Baardsen S. (2003) A multi-output restricted profit function for Norwegian sawmilling. In: Helles F., Strange N., Wichmann L. (eds) Recent accomplishments in applied forest economics research, forestry sciences, Vol. 74. Kluwer, Dordrecht, pp 129–139
Berger A. N., Mester L. J. (1997) Inside the black box: What explains differences in the efficiencies of financial institutions?. Journal of Banking and Finance 21: 895–947
Berger A. N., Mester L. J. (2003) Explaining the dramatic changes in performance of US banks: Technological change, deregulation, and dynamic changes in competition. Journal of Financial Intermediation 12: 57–95
Bresnahan T. F. (1989) Empirical studies of industries with market power. In: Schmalensee R., Willig R. (eds) Handbook of industrial organization, Vol. 2. Elsevier, Amsterdam, pp 1011–1057
Buongiorno J., Lu H.-C. (1989) Effects of costs, demand, and labor productivity on the prices of forest products in the United States, 1958–1984. Forest Science 35(2): 349–363
Carlton D. W., Perloff J. M. (2005) Modern industrial organization. Pearson, Addison, Wesley, Boston, MA
Coelli T. J., Rao D. S. P., O’Donnell C. J., Battese G. E. (2005) An introduction to efficiency and productivity analysis. Springer, New York, NY
Färe R., Primont D. (1995) Multi-output production and duality: Theory and applications. Kluwer, Boston, MA
Greene W. (2009) The econometric approach to efficiency analysis. In: Fried H. O., Lovell C. A. K., Shelton S. S. (eds) The measurement of productivity efficiency and productivity growth. Oxford University Press, New York, NY, pp 92–250
Hall R. E., Jorgenson D. W. (1967) Tax policy and investment behavior. American Economic Review 57: 391–414
Jondrow J., Lovell C. A. K., Materov I. S., Schmidt P. (1982) On the estimation of technical inefficiency in the stochastic frontier production function model. Journal of Econometrics 19: 233–238
Kadiyali V., Sudhir K., Vithala R. R. (2001) Structural analysis of competitive behavior: New empirical industrial organization methods in marketing. International Journal of Research in Marketing 18: 161–186
Kumbhakar S. C. (2006) Productivity and efficiency measurement using parametric econometric methods. In: Bagella M., Becchetti L., Hasan I. (eds) Transparency, governance, and markets. Elsevier, Oxford, UK, pp 21–61
Kumbhakar S. C. (2011) Estimation of production technology when the objective is to maximize return to the outlay. European Journal of Operation Research 208: 170–176
Kumbhakar S. C., Lovell C. A. K. (2000) Stochastic frontier analysis. Cambridge University Press, Cambridge
Lerner A. P. (1934) The concept of monopoly and the measurement of monopoly power. Review of Economic Studies 1(3): 157–175
Luppold W. (1996) An explanation of hardwood sawn wood pricing. Forest Products Journal 46(5): 52–55
Morrison C. J. (1992) Markups in US and Japanese manufacturing: A short-run econometric analysis. Journal of Business & Statistics 10: 51–63
Nordstrand, E. A. (1999). Markedsmakt i et regionalisert sagtømmermarked. MSc thesis. Agricultural University of Norway.
Nyrud A. Q., Baardsen S. (2003) Production efficiency and productivity growth in Norwegian sawmilling. Forest Science 49: 89–97
Nyrud A. Q., Bergseng E. R. (2002) Production efficiency and size in Norwegian sawmilling. Scandinavian Journal of Forest Research 17: 566–575
Perloff, J. M., & Shen, E. Z. (2012). Collinearity in linear structural models of market power. Review of Industrial Organization. doi:10.1007/s11151-012-9336-x.
Perloff J. M., Karp L. S., Golan A. (2007) Estimating market power and strategies. Cambridge University Press, New York, NY
Pindyck R. S. (1985) The measurement of monopoly power in dynamic markets. Journal of Law and Economics 28(1): 193–222
Rosko M. D., Mutter R. L. (2011) What have we learned from the application of stochastic frontier analysis to US hospitals?. Medical Care Research Review 68(1 suppl): 75–100
Seo D., Featherstone A. M., Weisman D. L., Gao Y. (2010) Market consolidation and productivity growth in US wireline telecommunications: Stochastic frontier analysis vs Malmquist index. Review of Industrial Organization 36(3): 271–294
Størdal S., Baardsen S. (2002) Estimating price taking behavior with mill-level data: The Norwegian sawlog market, 1974–1991. Canadian Journal of Forest Research 32: 401–411
Tremblay V.J., Tremblay C.H. (2012) New perspectives on industrial organization: With contributions from behavioral economics and game theory. NY: Springer, New York
Weiher J. C., Sickles R. C., Perloff J. M. (2002) Market power in the US airline industry. In: Slottje D. J. (eds) Measuring market power. Elsevier, Amsterdam, pp 309–324
Wolfram C. D. (1999) Measuring market power in the British electricity spot market. American Economic Review 89(4): 805–826
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Kumbhakar, S.C., Baardsen, S. & Lien, G. A New Method for Estimating Market Power with an Application to Norwegian Sawmilling. Rev Ind Organ 40, 109–129 (2012). https://doi.org/10.1007/s11151-012-9339-7
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DOI: https://doi.org/10.1007/s11151-012-9339-7