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Cited by 421

The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.

Explaining the distribution of firm growth rates

Open access
Bottazzi, Giulio, Secchi, Angelo·2006·The RAND Journal of Economics
DOI 10.1111/j.1756-2171.2006.tb00014.x
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Abstract

Empirical analyses on aggregated datasets have revealed a common exponential behavior in the shape of the probability density of corporate growth rates. We present clear‐cut evidence on this topic using disaggregated data. We explain the observed regularities proposing a model in which firms' ability to take up new business opportunities increases with the number of opportunities already exploited. A theoretical result is presented for the limiting case in which the number of firms and opportunities go to infinity. Moreover, using simulations, we show that even in a small industry the agreement with asymptotic results is almost complete.

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Metadata

Authors
Bottazzi, G., & Secchi, A.
Venue
The RAND Journal of Economics
Publisher
Wiley
Published
2006-06
Volume
37
Issue
2
Pages
235-256
ISSN
  • 0741-6261 (ISSN-L)
  • 1756-2171
DOI
10.1111/j.1756-2171.2006.tb00014.x
OpenAlex
W1983822602
Cited by
421
References
39
FWCI
44.60
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Explaining the distribution of firm growth rates. https://app.cochat.ai/papers/10.1111/j.1756-2171.2006.tb00014.x
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Bottazzi, G., & Secchi, A. (2006). Explaining the distribution of firm growth rates. The RAND Journal of Economics. https://doi.org/10.1111/j.1756-2171.2006.tb00014.x

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.