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Firm size and economic concentration: An analysis from a lognormal expansion

This paper studies the distribution of the firm size for the Colombian economy showing evidence against the Gibrat’s law, which assumes a stable lognormal distribution. On the contrary, we propose a lognormal expansion that captures deviations from the lognormal distribution with additional terms th...

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Detalles Bibliográficos
Autores principales: Cortés, Lina M., Lozada, Juan M., Perote, Javier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8270476/
https://www.ncbi.nlm.nih.gov/pubmed/34242353
http://dx.doi.org/10.1371/journal.pone.0254487
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author Cortés, Lina M.
Lozada, Juan M.
Perote, Javier
author_facet Cortés, Lina M.
Lozada, Juan M.
Perote, Javier
author_sort Cortés, Lina M.
collection PubMed
description This paper studies the distribution of the firm size for the Colombian economy showing evidence against the Gibrat’s law, which assumes a stable lognormal distribution. On the contrary, we propose a lognormal expansion that captures deviations from the lognormal distribution with additional terms that allow a better fit at the upper distribution tail, which is overestimated according to the lognormal distribution. As a consequence, concentration indexes should be addressed consistently with the lognormal expansion. Through a dynamic panel data approach, we also show that firm growth is persistent and highly dependent on firm characteristics, including size, age, and leverage −these results neglect Gibrat’s law for the Colombian case.
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spelling pubmed-82704762021-07-21 Firm size and economic concentration: An analysis from a lognormal expansion Cortés, Lina M. Lozada, Juan M. Perote, Javier PLoS One Research Article This paper studies the distribution of the firm size for the Colombian economy showing evidence against the Gibrat’s law, which assumes a stable lognormal distribution. On the contrary, we propose a lognormal expansion that captures deviations from the lognormal distribution with additional terms that allow a better fit at the upper distribution tail, which is overestimated according to the lognormal distribution. As a consequence, concentration indexes should be addressed consistently with the lognormal expansion. Through a dynamic panel data approach, we also show that firm growth is persistent and highly dependent on firm characteristics, including size, age, and leverage −these results neglect Gibrat’s law for the Colombian case. Public Library of Science 2021-07-09 /pmc/articles/PMC8270476/ /pubmed/34242353 http://dx.doi.org/10.1371/journal.pone.0254487 Text en © 2021 Cortés et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Cortés, Lina M.
Lozada, Juan M.
Perote, Javier
Firm size and economic concentration: An analysis from a lognormal expansion
title Firm size and economic concentration: An analysis from a lognormal expansion
title_full Firm size and economic concentration: An analysis from a lognormal expansion
title_fullStr Firm size and economic concentration: An analysis from a lognormal expansion
title_full_unstemmed Firm size and economic concentration: An analysis from a lognormal expansion
title_short Firm size and economic concentration: An analysis from a lognormal expansion
title_sort firm size and economic concentration: an analysis from a lognormal expansion
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8270476/
https://www.ncbi.nlm.nih.gov/pubmed/34242353
http://dx.doi.org/10.1371/journal.pone.0254487
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