Industry dynamics and the distribution of firm sizes: a non-parametric approach

Lotti, Francesca ; Santarelli, Enrica (2001) Industry dynamics and the distribution of firm sizes: a non-parametric approach. DOI 10.6092/unibo/amsacta/672.
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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, Enrica
Keywords
Cohorts Gibrat’s Law Kernel Industry Dynamics Non-parametric Shakeouts
Subjects
DOI
Deposit date
17 Jun 2004
Last modified
17 Feb 2016 14:00
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