Industry Dynamics and the Distribution of Firm Sizes: A Non-Parametric Approach
AbstractThe 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.
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Bibliographic InfoPaper provided by Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy in its series LEM Papers Series with number 2001/14.
Date of creation: 25 Dec 2001
Date of revision:
Cohorts; Gibrats Law; Kernel; Industry Dynamics; Non-parametric; Shakeouts.;
Other versions of this item:
- Francesca Lotti & Enrico Santarelli, 2004. "Industry Dynamics and the Distribution of Firm Sizes: A Nonparametric Approach," Southern Economic Journal, Southern Economic Association, vol. 70(3), pages 443-466, January.
- F. Lotti & E. Santarelli, 2001. "Industry Dynamics and the Distiribution of Firm Sizes: A Non-Parametric Apporoach," Working Papers 406, Dipartimento Scienze Economiche, Universita' di Bologna.
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