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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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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. |
format | Online Article Text |
id | pubmed-8270476 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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