Estimating the Size Distribution of Firms Using Government Summary Statistics
Using a maximum entropy technique, the authors estimate the market shares of each firm in an industry using the available government summary statistics such as the four-firm concentration ratio and the Herfindahl-Hirschmann Index. They show that their technique is very effective in estimating the distribution of market shares in twenty industries. The authors' results provide support for the recent practice of using the Herfindahl-Hirschmann Index rather than four-firm concentration ratio as the key explanatory variable in many market power studies, if only one measure is to be used. Copyright 1996 by Blackwell Publishing Ltd.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 44 (1996)
Issue (Month): 1 (March)
|Contact details of provider:|| Web page: http://www.blackwellpublishing.com/journal.asp?ref=0022-1821|
|Order Information:||Web: http://www.blackwellpublishing.com/subs.asp?ref=0022-1821|
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Zellner, A., 1988. "Optimal Information-Processing And Bayes' Theorem," Papers m8803, Southern California - Department of Economics.
- Jacquemin, Alexis P & Berry, Charles H, 1979. "Entropy Measure of Diversification and Corporate Growth," Journal of Industrial Economics, Wiley Blackwell, vol. 27(4), pages 359-69, June.
- Kwoka, John E, Jr, 1979. "The Effect of Market Share Distribution on Industry Performance," The Review of Economics and Statistics, MIT Press, vol. 61(1), pages 101-09, February.
When requesting a correction, please mention this item's handle: RePEc:bla:jindec:v:44:y:1996:i:1:p:69-80. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley-Blackwell Digital Licensing)or (Christopher F. Baum)
If references are entirely missing, you can add them using this form.