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Firm Size Distribution under Horizontal and Vertical Innovation

Pedro Gil and Fernanda Figueiredo

DEGIT Conference Papers from DEGIT, Dynamics, Economic Growth, and International Trade

Abstract: This paper studies the firm size distribution arising from an endogenous growth model of quality ladders with expanding variety. The probability distribution function of a given cohort of firms is a Poisson distribution that converges asymptotically to a normal of log size. However, due to firm entry propelled by horizontal R&D, the total distribution – i.e., when the entire population of firms is considered – is a mixture of overlapping Poisson distributions which is systematically right skewed and exhibits a fatter upper tail than the normal distribution of log size. Our theoretical results qualitatively match the empirical evidence found both for the cohort and the total distribution, and which has been presented as a challenge for theory to explain. Moreover, by obtaining a total distribution with a gradually falling variance over a long time span, the model is able to address complementary empirical evidence that points to a total distribution subtly evolving over time.

Keywords: Firm size distribution; Skewness; Heavy tails; Endogenous growth; Horizontal and vertical R&D (search for similar items in EconPapers)
Pages: 31 pages JEL Classification: O41, O38, L11
Date: 2011-09
New Economics Papers: this item is included in nep-bec, nep-com, nep-cse, nep-ino, nep-sbm and nep-tid
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Journal Article: Firm size distribution under horizontal and vertical innovation (2013) Downloads
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