Business concentration through the eyes of the HHI

Part of : International Journal of Business and Economic Sciences Applied Research ; Vol.7, No.2, 2014, pages 105-127

Issue:
Pages:
105-127
Author:
Abstract:
This paper examines the understanding of business concentration through the Herfindahl- Hirschman Index (HHI), by showing that this index is conceptually a model according to which this concentration is the consequence of a renewal process. This process is prompted by firms engaging in different types of economic activity as the means by which to vie for market share. The resultant rivalry produces departures between the market shares of firms. These departures ultimately transmit into differing concentration levels attributable only to the economic activity with which firms vie. As a consequence, while the HHI is commonly interpreted to be a screening indicator of market structure, it is in fact first and foremost a screening indicator of market conduct, which incidentally doubles-up as an indicator of market structure. As part of this, the paper shows that while the HHI cannot identify the exact economic conduct that produces the corresponding business concentration of the observed market structure, it does reveal that whatever this conduct is, it is always subordinated to some type of regenerative or revitalising process.
Subject:
Subject (LC):
Keywords:
business concentration, market conduct, market structure, renewal processes
Notes:
JELClassification: C15, C46, L11, Περιέχει πίνακες και βιβλιογραφία
References (1):
  1. Albert, R., Jeong, H. & Barabasi, A., 2000, ‘Error and attack tolerance of complex networks’, Nature, 406, 6794, pp. 378-382.Albert, R„ Jeong, H. & Barabasi, A., 1999, ‘Diameter of the world-wide web’, Nature, 401, 6749, pp. 130-131.Andreosso, B. & Jacobson, D., 2005, Industrial economics and organisation: a European perspective, 2nd edn, McGraw-Hill, Berkshire, UK.Andrews, D., 2007, ‘Robust likelihood inference for public policy’, Canadian Journal of Statistics, 35, 3, pp. 341-350.Australian Government, 2011, Australia s banking industry, Australian Trade Commission, Canberra, Australia.Baumol, W., 2002, The free-market innovation machine: analysing the growth miracle of capitalism, Princeton University Press, Princeton, USA.Besanko, D., Dranove, D., Shanley, M. & Schaefer, S., 2013, Economics of strategy, 6th edn, John Wiley & Sons, Singapore.Buchanan, J., 1993, Properly as a guarantor of liberty, Edward Elgar Publishing, Aldershot, UK.Cabral, L., 2000, Introduction to industrial organization, 1st edn, MIT Press, Cambridge, USA.Carlton, D. & Perloff, J., 1994, Modern industrial organisation, 2nd edn, Harper Collins College Publishers, New York, USA.Copeland, B., 1996, ‘What is computation?’, Synthese, 108, 3, pp. 335-359.Davies, S. 1996, ‘Business concentration’, Social Science Encyclopaedia, eds. A. Kuper & J. Kuper, Routledge, London, pp. 60-61.Diaconis, P. & Efron, B., 1983, ‘Computer-intensive methods in statistics’, Scientific American, 248, 5, pp. 96-108.Djolov, G., 2013, ‘The Herfindahl-Hirschman Index as a decision guide to business concentration: a statistical exploration’, Journal of Economic and Social Measurement, 38, 3, pp. 201-227.Efron, B. & Tibshirani, R., 1991, ‘Statistical data analysis in the computer âge’, Science, 253, 5018, pp. 390-395.Efron, B., 1988, ‘Bootstrap confidence intervals: good or bad?’, Psychological Bulletin, 104, 2, pp. 293-296.Erti, H. & McCarrell, H., 2002, The state of telecommunications services, Statistics Canada, Ottawa, Canada.Evans, M., Hastings, N. & Peacock, B., 2000, Statistical distributions, 3rd edn, John Wiley & Sons, New York, USA.Forrester, J., 1980, ‘Information sources for modelling the national economy’, Journal of American Statistical Association, 75, 371, pp. 555-566.Friedman, M., 2002, Capitalism and freedom, 40th edn, University of Chicago Press, Chicago, USA.Giffen, R., 1904, Economic inquiries and studies, 2nd voi., George Bell & Sons, London, UK.Gini, C., 1965, On the characteristics of Italian statistics’, Journal of Royal Statistical Society, 128, 1, pp. 89-109.Gini, C., 1947, ‘Statistical relations and their inversions’, Review of International Statistical Institute, 15, 1/4, pp. 24-42.Hirano, K., 2006, ‘Rayleigh distribution’, Encyclopaedia of Statistical Sciences, eds. S. Kotz, C. Read, N. Balakrishnan & B. Vidakovic, John Wiley & Sons, New York, pp. 6986-6988.Kendall, M. & Stuart, A., 1977, The advanced theory of statistics: distribution theory, 4th edn, Charles Griffin, London, UK.Kirzner, L, 1997, How markets work: disequilibrium, entrepreneurship and discovery, Institute of Economic Affairs, London, UK.Kleinke, D., 1979, ‘ Systematic errors in approximations to the standard error of measurement and reliability’, Applied Psychological Measurement, 3, 2, pp. 161-164.Krishnamoorthy, K., 2006, Handbook of statistical distributions with applications, Chapman & Hall, Boka Raton, USA.Lachmann, L., 1992, ‘Socialism and the market: a theme of economic sociology viewed from a Weberian perspective’, South African Journal of Economics, 60, 1, pp. 24-43.Lai, D., 2012, ‘Is the Washington consensus dead?’, Cato Journal, 32, 3, pp. 493-512.Lehr, R., 1992, ‘Sixteen S-squared over D-squared: a relation for crude sample size estimates’, Statistics in Medicine, 11, 8, pp. 1099-1102.Leontitsis, A. & Pagge, J., 2007, ‘A simulation approach on Cronbach’s alpha statistical significance’, Mathematics and Computers in Simulation, 73, 5, 336-340.Mitov, K. & Zazanis, M. 2008, ‘Renewal processes’, International Encyclopaedia of Statistical Science, ed. M. Lovric, Springer-Verlag Berlin, Heidelberg, pp. 1217-1221.Morgenthaler, S., 2007, ‘A survey of robust statistics’, Statistical Methods and Applications, 15, 3, pp. 271-293.Newman, M., 2000, ‘The power of design’, Nature, 405, 6785, 412-413.Nutter, G., 1968, ‘Industrial concentration’, International Encyclopaedia of the Social Sciences, eds. D. Sills & R. Merton, Macmillan, New York, pp. 218-222.Oxford Dictionary of Statistic 2008, Rayleigh distribution, Oxford University Press, New York, USA.Press, W., Teukolsky, S., Vetterling, W. & Flannery, B., 2007, Numerical recipes: the art of scientific computing, 3rd edn, Cambridge University Press, New York, USA.Pretnar, B., 2003, ‘The economic impact of patents in a knowledge-based market economy’, International Review of Intellectual Property and Competition Law, 34, 8, pp. 887-906.Reekie, W., 1989, Industrial economics: a critical introduction to corporate enterprise in Europe and America, Edward Elgar Publishing, Aldershot, UK.Rybski, D., Buldyrev, S., Havlin, S., Liljeros, F. & Makse, H., 2009, ‘Scaling laws of human interaction activity’, Proceedings of the National Academy of Sciences, 106, 31, pp. 12640-12645.Samuels, S., 1974, ‘A characterisation of the Poisson process’, Journal of Applied Probability, 11,1, pp. 72-85.Schumpeter, J., 1975, Capitalism, socialism and democracy, 1st edn, Harper Colophon, New York, USA.Schumpeter, J., 1961, The theory of economic development: an inquiry into profit, capital, credit, interest, and the business cycle, Oxford University Press, New York, USA.Sharma, J., 2010, Fundamentals of business statistics, Pearson Education, New Delhi, India.Stigler, G., 1988, ‘The theory of economic regulation’, Chicago Studies in Political Economy, ed. G. Stigler, University of Chicago Press, Chicago, pp. 209-233.Tollison, R., 1982, ‘Rent seeking: a survey’, Kyklos, 35, 4, pp. 575-602.Tullock, G., 1993, Rent seeking, Edward Elgar Publishing, Aldershot, UK.Van Belle, G., 2008, Statistical rules of thumb, 2nd edn, John Wiley & Sons, Hoboken, USA.Weber, M., 1947, The theory of social and economic organisation, William Hodge & Company, London, UK.Wood, M., 2004, ‘Statistical inference using bootstrap confidence intervals’, Significance, 1,4, pp. 180-182.Zickar, M., 2006, ‘Computational modelling’, Psychology’ Research Handbook, eds. F. Leong & J. Austin, 2nd edn, Sage Publishing, Thousand Oaks, pp. 419-432.