Industry Dynamics and the Distiribution of Firm Sizes: A Non-Parametric Apporoach.

Lotti, Francesca ; Santarelli, Enrico (2001) Industry Dynamics and the Distiribution of Firm Sizes: A Non-Parametric Apporoach. Bologna: Dipartimento di Scienze economiche DSE, p. 21. DOI 10.6092/unibo/amsacta/4895. In: Quaderni - Working Paper DSE (406). ISSN 2282-6483.
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Abstract

The aim of this paper is to analyze the evolution of the size distribution of young firms within some selected industries, trying to assess the empirical implications of different models of industry dynamics: the model of passive learning (Jovanovic 1982), the model of active learning (Ericson and Pakes, 1995), and the evolutionary model (Audretsch, 1995). We use a non-parametric technique, the Kernel density estimator, applied to a data set from the Italian National Institute for Social Security (INPS), consisting in 12 cohorts of new manufacturing firms followed for 6 years. Since the patterns of convergence to the limit distribution are different between industries, we conclude that the model of passive learning is consistent with some of them, the active exploration model with others, the evolutionary model with all of them.

Abstract
Document type
Monograph (Working Paper)
Creators
CreatorsAffiliationORCID
Lotti, Francesca
Santarelli, Enrico
Keywords
Cohorts; Gibrat’s Law; Kernel; Industry Dynamics; Non-parametric; Shakeouts
Subjects
ISSN
2282-6483
DOI
Deposit date
17 Mar 2016 11:21
Last modified
17 Mar 2016 11:21
URI

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