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7 - Semi-parametric estimation of the company size–growth relation

from Part Two - COMBINING DATA AND ANALYTIC TECHNIQUES

Published online by Cambridge University Press:  06 July 2010

Iain Begg
Affiliation:
South Bank University, London
Brian Henry
Affiliation:
London Business School
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Summary

Introduction

In the applied literature, a common finding of studies covering the last 15 years or so has been that firm growth and failure rates decline with firm size and age (Schmalensee, 1989; Hall, 1987; Evans, 1987a,b; Storey et al. 1987; Dunne and Hughes, 1994). This is in contrast to studies covering earlier periods for the United Kingdom which showed that firm growth was positively related to size (Singh and Whittington, 1968,1975; Samuels, 1965; Prais, 1976; Hart, 1965; Kumar, 1984; Samuels and Chesher, 1972). Both sets of studies contradict a celebrated hypothesis attributed to Gibrat which holds that growth is independent of firm size. It has been argued that the result for earlier periods may reflect higher rates of growth by merger amongst larger companies (Hannah and Kay, 1977; Hughes, 1993), whilst the result for more recent years may be attributable to selection bias.

When we estimate size–growth relationships with company panels, an unavoidable problem is sample attrition. Some companies may cease to exist during the period covered by the panel. Whereas slow-growing large firms may simply slip slowly downwards through the size distribution for a considerable length of time before ceasing to trade, a smaller company is likely to hit the boundary of extinction much sooner. Small firms which have slow or negative growth may be more likely to disappear from the sample in any given time interval than are large firms.

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Publisher: Cambridge University Press
Print publication year: 1998

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