IDEAS home Printed from https://ideas.repec.org/p/cam/camdae/0018.html

Strategy Choices of Firms and Market Concentration'

Author

Listed:
  • Kattuman, P.
  • Roberts, B.M.

Abstract

This paper suggests a new approach to the empirical analysis of market structure. Market concentration is an aspect of distribution of market shares of firms, and market shares are best modelled at the firm level, bringing into play strategy choices made by firms. It follows that a useful approach to explaining concentration would be a two stage one: to estimate firm size or market shares as a function of firm level determinant, and use the information in these estimates to assess the relative contributions of firm characteristics to concentration. The method is illustrated by application to selected Polish manufacturing industries in the early transition period.

Suggested Citation

  • Kattuman, P. & Roberts, B.M., 2000. "Strategy Choices of Firms and Market Concentration'," Cambridge Working Papers in Economics 0018, Faculty of Economics, University of Cambridge.
    • Handle: RePEc:cam:camdae:0018
    Note: IO
    as

    Download full text from publisher

    File URL: https://files.econ.cam.ac.uk/repec/cam/pdf/wp0018.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kumar, V. & Heath, Timothy B., 1990. "A comparative study of market share models using disaggregate data," International Journal of Forecasting, Elsevier, vol. 6(2), pages 163-174, July.
    2. Buzzacchi, Luigi & Valletti, Tommaso M., 2006. "Firm size distribution: Testing the "independent submarkets model" in the Italian motor insurance industry," International Journal of Industrial Organization, Elsevier, vol. 24(4), pages 809-834, July.
    3. Davies, Stephen & Lyons, Bruce, 1996. "Industrial Organization in the European Union: Structure, Strategy, and the Competitive Mechanism," OUP Catalogue, Oxford University Press, number 9780198289739.
    4. Marcus Asplund & Rickard Sandin, 1999. "The Number of Firms and Production Capacity in Relation to Market Size," Journal of Industrial Economics, Wiley Blackwell, vol. 47(1), pages 69-85, March.
    5. V. Kumar & Timothy B. Heath, 1990. "A comparative study of market share models using disaggregate data," Post-Print hal-00670544, HAL.
    6. repec:bla:revinw:v:46:y:2000:i:2:p:139-59 is not listed on IDEAS
    7. Gary S. Fields & Gyeongjoon Yoo, 2000. "Falling Labor Income Inequality In Korea'S Economic Growth: Patterns And Underlying Causes," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 46(2), pages 139-159, June.
    8. Brodie, Roderick J. & Bonfrer, Andre, 1994. "Conditions when market share models are useful for forecasting: further empirical results," International Journal of Forecasting, Elsevier, vol. 10(2), pages 277-285, September.
    9. S. W. Davies & Paul A. Geroski, 2000. "Changes In Concentration, Turbulence, And The Dynamics Of Market Shares," The Review of Economics and Statistics, MIT Press, vol. 79(3), pages 383-391, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. McAdam, Chris, 2020. "Are investors compensated for their sophistication and informedness for company takeovers – An Australian study," Global Finance Journal, Elsevier, vol. 44(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Klapper, Daniel & Herwartz, Helmut, 1998. "Forecasting performance of market share attraction models: A comparison of different models assuming that competitors' actions are forecasts," SFB 373 Discussion Papers 1998,103, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    2. Derek W. Bunn & Stefania Pantelidaki, 2005. "Development of a multifunctional sales response model with the diagnostic aid of artificial neural networks," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(7), pages 505-521.
    3. Kumar, V. & Nagpal, Anish & Venkatesan, Rajkumar, 2002. "Forecasting category sales and market share for wireless telephone subscribers: a combined approach," International Journal of Forecasting, Elsevier, vol. 18(4), pages 583-603.
    4. Klapper, Daniel & Herwartz, Helmut, 2000. "Forecasting market share using predicted values of competitive behavior: further empirical results," International Journal of Forecasting, Elsevier, vol. 16(3), pages 399-421.
    5. Kumar, V. & Leone, Robert P. & Gaskins, John N., 1995. "Aggregate and disaggregate sector forecasting using consumer confidence measures," International Journal of Forecasting, Elsevier, vol. 11(3), pages 361-377, September.
    6. Rutger Oest, 2005. "Which Brands Gain Share from Which Brands? Inference from Store-Level Scanner Data," Quantitative Marketing and Economics (QME), Springer, vol. 3(3), pages 281-304, September.
    7. Rutger van Oest & Philip Hans Franses, 2003. "Which Brands gain Share from which Brands? Inference from Store-Level Scanner Data," Tinbergen Institute Discussion Papers 03-079/4, Tinbergen Institute.
    8. Gruca, TS & Klemz, BR, 1998. "Using Neural Networks to Identify Competitive Market Structures from Aggregate Market Response Data," Omega, Elsevier, vol. 26(1), pages 49-62, February.
    9. Silvana Robone & Alberto Zanardi, 2006. "Market structure and technology: evidence from the Italian National Health Service," International Journal of Health Economics and Management, Springer, vol. 6(3), pages 215-236, September.
    10. Martínez Granado, María Teresa & Siotis, Georges, 2006. "Computing abuse related damages in the case of new entry: An illustration for the Directory Enquiry Services market," DFAEII Working Papers 1988-088X, University of the Basque Country - Department of Foundations of Economic Analysis II.
    11. GIANNETTI, Caterina, 2007. "Intensity of competition and market structure in the Italian banking industry," LIDAM Discussion Papers CORE 2007041, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    12. Carl Rudolf Blankart & Tom Stargardt, 2017. "Preferred supplier contracts in post-patent prescription drug markets," Health Care Management Science, Springer, vol. 20(3), pages 419-432, September.
    13. Sato, Sumie & Fukushige, Mototsugu, 2009. "Globalization and economic inequality in the short and long run: The case of South Korea 1975-1995," Journal of Asian Economics, Elsevier, vol. 20(1), pages 62-68, January.
    14. Michael Peneder, 2003. "Industry Classifications: Aim, Scope and Techniques," Journal of Industry, Competition and Trade, Springer, vol. 3(1), pages 109-129, March.
    15. Aidan Hollis, 2003. "Industrial Concentration, Output, and Trade: An Empirical Exploration," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 22(2), pages 103-119, March.
    16. Wolfgang Keller, 2002. "Geographic Localization of International Technology Diffusion," American Economic Review, American Economic Association, vol. 92(1), pages 120-142, March.
    17. Michelle A. Danis, 2003. "A Discrete Choice Approach to Measuring Competition in Equity Option Markets," FHFA Staff Working Papers 03-05, Federal Housing Finance Agency.
    18. Greene, William, 2007. "Functional Form and Heterogeneity in Models for Count Data," Foundations and Trends(R) in Econometrics, now publishers, vol. 1(2), pages 113-218, August.
    19. Patrick Paul Walsh & Ciara Whelan, 2002. "Portfolio Effects and Firm Size Distribution - Carbonated Soft Drinks," The Economic and Social Review, Economic and Social Studies, vol. 33(1), pages 43-54.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cam:camdae:0018. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Jake Dyer (email available below). General contact details of provider: https://www.econ.cam.ac.uk/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.