A Dynamic Model of Size Distribution of Firms Applied to U.S. Biotechnology and Trucking Industries

A Dynamic Model of Size Distribution of Firms Applied to U.S. Biotechnology and Trucking Industries The present paper attempts to contribute to the existing literature on industry dynamics by proposing a tractable structure for the analysis of the dynamic process governing the size distribution of firms. An analytical model is proposed which describes the density of the cross-sectional distribution of firm size within an industry. The model is based on the theory of diffusion processes, and the method illustrates how information on the time-evolution of size distribution of firms over an extended period of time can be used to make inferences about an underlying process. An empirical application to the evolution of size distribution of population of firms in (i) the U.S. biotechnology industry, and (ii) the U.S. interstate for-hire trucking industry illustrates the applicability of the proposed model in industry studies. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Small Business Economics Springer Journals

A Dynamic Model of Size Distribution of Firms Applied to U.S. Biotechnology and Trucking Industries

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Publisher
Kluwer Academic Publishers
Copyright
Copyright © 2003 by Kluwer Academic Publishers
Subject
Business and Management; Management; Microeconomics; Entrepreneurship; Industrial Organization
ISSN
0921-898X
eISSN
1573-0913
D.O.I.
10.1023/A:1024433203253
Publisher site
See Article on Publisher Site

Abstract

The present paper attempts to contribute to the existing literature on industry dynamics by proposing a tractable structure for the analysis of the dynamic process governing the size distribution of firms. An analytical model is proposed which describes the density of the cross-sectional distribution of firm size within an industry. The model is based on the theory of diffusion processes, and the method illustrates how information on the time-evolution of size distribution of firms over an extended period of time can be used to make inferences about an underlying process. An empirical application to the evolution of size distribution of population of firms in (i) the U.S. biotechnology industry, and (ii) the U.S. interstate for-hire trucking industry illustrates the applicability of the proposed model in industry studies.

Journal

Small Business EconomicsSpringer Journals

Published: Oct 25, 2004

References

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