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The Optimal Measure of Concentration

 

作者: Duncan Bailey,   StanleyE. Boyle,  

 

期刊: Journal of the American Statistical Association  (Taylor Available online 1971)
卷期: Volume 66, issue 336  

页码: 702-706

 

ISSN:0162-1459

 

年代: 1971

 

DOI:10.1080/01621459.1971.10482332

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

Most objections to the use of simple discrete concentration measures note that such measures fail to take into account the number and individual sizes of firms in an industry. Proponents of the use of cumulative concentration ratios (Herfin-dahl, etc.) contend that if individual firm-size information were available, superior results would be obtained. In assessing the validity of these objections, the authors find that (1) no one of the standard concentration indexes appears superior to any others; and (2) the number and size distribution of individual firms does not seem to affect materially the results obtained.

 

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