On firm size distribution: statistical models, mechanisms, and empirical evidence

Anna Maria Fiori ()
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Anna Maria Fiori: University of Milano-Bicocca

Statistical Methods & Applications, 2020, vol. 29, issue 3, No 2, 447-482

Abstract: Abstract In this work we explain the size distribution of business firms using a stochastic growth process that reproduces the main stylized facts documented in empirical studies. The steady state solution of this process is a three-parameter Dagum distribution, which possibly combines strong unimodality with a Paretian upper tail. Thanks to its flexibility, the proposed distribution is able to fit the whole range of firm size data, in contrast with traditional models that typically focus on large businesses only. An empirical application to Italian firms illustrates the practical merits of the Dagum distribution. Our findings go beyond goodness-of-fit per se, and shed light on possible connections between stochastic elements that influence firm growth and the meaning of parameters that appear in the steady state distribution of firm size. These results are ultimately relevant for studies into industrial organization and for policy interventions aimed at promoting sustainable growth and monitoring industrial concentration phenomena.

Keywords: Stochastic differential equation; Gibrat’s Law; Generalized beta distribution of the second kind; Dagum distribution; Firm growth (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s10260-019-00485-7

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