Power law distribution of the frequency of demises of US firms
AbstractBoth theoretical and applied economics have a great deal to say about many aspects of the firm, but the literature on the extinctions, or demises, of firms is very sparse. We use a publicly available data base covering some 6 million firms in the US and show that the underlying statistical distribution which characterises the frequency of firm demises—the disappearances of firms as autonomous entities—is closely approximated by a power law. The exponent of the power law is, intriguingly, close to that reported in the literature on the extinction of biological species.
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Bibliographic InfoArticle provided by Elsevier in its journal Physica A: Statistical Mechanics and its Applications.
Volume (Year): 324 (2003)
Issue (Month): 1 ()
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- Wright, Ian, 2009.
"Implicit Microfoundations for Macroeconomics,"
Economics - The Open-Access, Open-Assessment E-Journal,
Kiel Institute for the World Economy, vol. 3(19), pages 1-27.
- Bridget Rosewell & Paul Ormerod, 2004. "How much can firms know?," Computing in Economics and Finance 2004 44, Society for Computational Economics.
- Lavička, H. & Lin, L. & Novotný, J., 2010. "Employment, Production and Consumption model: Patterns of phase transitions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(8), pages 1708-1720.
- Guilmi, Corrado Di & Gallegati, Mauro & Ormerod, Paul, 2004. "Scaling invariant distributions of firms’ exit in OECD countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 334(1), pages 267-273.
- Kočišová, J. & Horváth, D. & Brutovský, B., 2009. "The efficiency of individual optimization in the conditions of competitive growth," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(17), pages 3585-3592.
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