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Empirical analysis of price data in the delineation of the relevant geographical market in competition analysis

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  • Haldrup, Niels

    ()
    (Department of Economics Aarhus, Denmark)

Abstract

This paper reviews a number of modern as well as classical econometric techniques suitable for empirically determining whether commodities in physically separated markets belong to the same geographical market. Even though the tools presented generalize to the delineation of the relevant product market our main focus is on the geographical delineation of markets. The analyses rely entirely on the use of price data of different types in an attempt to operationalize the so-called SSNIP methodology for price comparisons. In particular, the stationarity versus non-stationarity of price data appears important because otherwise spurious results can potentially occur. Both bivariate and multivariate price comparisons will be discussed. We also consider situations with data observations covering a relatively long period and where it is likely that structural changes have occurred in the sample period whereby the degree of market integration is likely to have changed. New techniques to deal with such recursive features will be suggested. For the methods presented a discussion of the practical problems and concerns facing the model builder are addressed.

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Bibliographic Info

Paper provided by School of Economics and Management, University of Aarhus in its series Economics Working Papers with number 2003-9.

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Length: 57
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Handle: RePEc:aah:aarhec:2003-9

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Web page: http://www.econ.au.dk/afn/

Related research

Keywords: Market delineation; SSNIP methodology; price test; competition analysis; price data;

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References

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  1. Mario Forni, 2004. "Using Stationarity Tests in Antitrust Market Definition," American Law and Economics Review, Oxford University Press, vol. 6(2), pages 441-464.
  2. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-38, July.
  3. Nyblom, Jukka & Harvey, Andrew, 1999. "Tests of Common Stochastic Trends," Cambridge Working Papers in Economics 9902, Faculty of Economics, University of Cambridge.
  4. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
  5. Siliverstovs, Boriss & Engsted, Tom & Haldrup, Niels, 2002. "Long-Run Forecasting in Multicointegrated Systems," Finance Working Papers 02-14, University of Aarhus, Aarhus School of Business, Department of Business Studies.
  6. Dell'Anno, Roberto, . "Estimating the Shadow Economy in Italy: a Structural Equation Approach," Economics Working Papers 2003-7, School of Economics and Management, University of Aarhus.
  7. Stigler, George J & Sherwin, Robert A, 1985. "The Extent of the Market," Journal of Law and Economics, University of Chicago Press, vol. 28(3), pages 555-85, October.
  8. Granger, Clive W J & Haldrup, Niels, 1997. "Separation in Cointegrated Systems and Persistent-Transitory Decompositions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 59(4), pages 449-63, November.
  9. Svarer, Michael, . "Determinants of Divorce in Denmark," Economics Working Papers 2002-19, School of Economics and Management, University of Aarhus.
  10. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-80, November.
  11. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501, September.
  12. Harvey, A. & Vasco Carvalho, 2002. "Models for Converging Economies," Cambridge Working Papers in Economics 0216, Faculty of Economics, University of Cambridge.
  13. Engle, Robert F & Granger, Clive W J, 1987. "Co-integration and Error Correction: Representation, Estimation, and Testing," Econometrica, Econometric Society, vol. 55(2), pages 251-76, March.
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Cited by:
  1. Eduardo P. S. Fiuza & Fabiana F.M. Tito, 2007. "Time Series Econometrics in a Post-Acquisition Antitrust Analysis: The Brazilian Iron Ore Market," Discussion Papers 1306, Instituto de Pesquisa EconĂ´mica Aplicada - IPEA.
  2. Willem Boshoff, 2006. "Quantitative competition analysis: Stationarity tests in geographic market definition," Working Papers 17/2006, Stellenbosch University, Department of Economics.
  3. Haldrup, Niels & Møllgaard, Peter & Nielsen, Claus Kastberg, 2005. "Sequential versus simultaneous market," Working Papers 02-2005, Copenhagen Business School, Department of Economics.
  4. Fiuza, Eduardo P.S. & Tito, Fabiana F.M., 2010. "Post-merger time series analysis: Iron ore mining," Resources Policy, Elsevier, vol. 35(3), pages 141-155, September.
  5. Sanogo, Issa, 1. "Spatial Integration of the Rice Market: Empirical Evidence from Mid-west and Far-west Nepal, and the Nepalese-Indian Border," Asian Journal of Agriculture and Development, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), vol. 3(1).
  6. Sanogo, Issa, 2008. "SPATIAL integration of the rice market: emprirical evidence from mid-west and far-west Nepal and the Nepalese-Indian border," MPRA Paper 14488, University Library of Munich, Germany.

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