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Market Share Behavior And Mobility: An Analysis And Time-Series Application Notes

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  • John R. Cable

Abstract

A measure of market share mobility is derived from an hypothesized model of underlying market share behavior. Explicit linkage of the two exposes some properties of the index and its implied behavioral assumptions and informs empirical work. Results for the U.K. newspaper industry offer some evidence of stable, overall mobility relationships, but the absence of long-run equilibrium relationships at the market share level suggests these may be misleading. Further work at the latter level seems likelier to advance understanding of both market share behavior and mobility, while care is required when supplementing concentration data with mobility statistics in antitrust cases. © 1997 by the President and Fellows of Harvard College and the Massachusetts Institute of Technology

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  • John R. Cable, 1997. "Market Share Behavior And Mobility: An Analysis And Time-Series Application Notes," The Review of Economics and Statistics, MIT Press, vol. 79(1), pages 136-141, February.
    • Handle: RePEc:tpr:restat:v:79:y:1997:i:1:p:136-141
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    Cited by:

    1. Dierk Herzer & Felicitas Nowak-Lehmann D. & Inmaculada Martínez-Zarzoso & Sebastian Vollmer, "undated". "On Distributed Lags in Dynamic Panel Data Models: Evidence from Market Shares," Working Papers on International Economics and Finance 06-05, FEDEA.
    2. Cheung, Cherry & Coucke, Kristien & Neicu, Daniel, 2011. "A Decision Tree as a Quick Scan for Effective Market Functioning," Working Papers 2011/06, Hogeschool-Universiteit Brussel, Faculteit Economie en Management.
    3. Kambhampati, Uma S. & Kattuman, Paul A., 2009. "Growth responses to competitive shocks: Market structure dynamics under liberalisation," Structural Change and Economic Dynamics, Elsevier, vol. 20(2), pages 114-125, June.
    4. Felicitas Nowak-Lehmann D. & Dierk Herzer & Sebastian Vollmer & Inmaculada Martínez-Zarzoso, 2006. "Problems in Applying Dynamic Panel Data Models: Theoretical and Empirical Findings," Ibero America Institute for Econ. Research (IAI) Discussion Papers 140, Ibero-America Institute for Economic Research.
    5. Julien Milanesi & Marion Desquilbet & E. Luch & R. Rocha de Santos, 2009. "Current and future availability of non-genetically modified soybean seeds in the U.S., Brazil and Argentina," Working Papers hal-02285602, HAL.
    6. Gyimesi, András, 2021. "Hosszú távú versenyegyensúly egy csapatsportliga közgazdasági modelljében [Long-term competitive balance in an economic model of a team sports league]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 585-616.
    7. Spielman, David J. & Kolady, Deepthi E. & Cavalieri, Anthony & Rao, N. Chandrasekhara, 2014. "The seed and agricultural biotechnology industries in India: An analysis of industry structure, competition, and policy options," Food Policy, Elsevier, vol. 45(C), pages 88-100.
    8. Theodore Papadogonas & Vassilis Droucopoulos, 2006. "Market Share Mobility in Greek Manufacturing Industry," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, vol. 4(1), pages 81-94.

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