Article (Scientific journals)
A stochastic analysis of firm dynamics: Their impact on the firm size distribution
Reginster, Alexandre
2021In Physica A. Statistical Mechanics and its Applications, 570
Peer Reviewed verified by ORBi
 

Files


Full Text
1-s2.0-S0378437121000893-main.pdf
Publisher postprint (625.89 kB)
Request a copy

All documents in ORBi are protected by a user license.

Send to



Details



Keywords :
Firm dynamics; Firm size distribution; Gibrat's law; Pareto; Steady-state; Transition probabilities; Distributed database systems; Dynamics; Pareto principle; Size distribution; Stochastic systems; Belgium; Firm size; Firm size distributions; Growth dynamics; Pareto distributions; Steady-state distributions; Stochastic analysis; Stochastic models
Abstract :
[en] The Pareto distribution is known for its wide range of applications, including the distribution of firm sizes. Exhaustive databases on firm sizes showed deviations from the Pareto firm size distribution for the smallest and largest firm sizes. Therefore, stochastic models of firm dynamics reproducing a Pareto firm size distribution could be further generalized in order to also reproduce these deviations. Based on Córdoba (2008), we build a model of firm dynamics which can generate a wide variety of steady-state distributions and we make clear the relationship between the growth dynamics of the firms and the resulting shape of the firm size distribution. To the light of our model, we analyse the links between the observed firm dynamics and the shape of firm size distribution in Belgium between 2006 and 2013. © 2021 Elsevier B.V.
Disciplines :
Special economic topics (health, labor, transportation...)
Author, co-author :
Reginster, Alexandre ;  Université de Liège - ULiège
Language :
English
Title :
A stochastic analysis of firm dynamics: Their impact on the firm size distribution
Publication date :
2021
Journal title :
Physica A. Statistical Mechanics and its Applications
ISSN :
0378-4371
eISSN :
1873-2119
Publisher :
Elsevier, Netherlands
Volume :
570
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 04 August 2021

Statistics


Number of views
55 (4 by ULiège)
Number of downloads
2 (2 by ULiège)

Scopus citations®
 
0
Scopus citations®
without self-citations
0
OpenCitations
 
0

Bibliography


Similar publications



Contact ORBi