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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