Firm size and economic concentration: An analysis from lognormal expansion

This paper proposes a semi-nonparametric (SNP) generalization of the lognormal distribution for studying firm size and providing accurate measures for economic concentration and inequality in terms of the Gini index adjusted to flexible functional forms. The empirical application for a sample of 1,7...

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Autores:
Cortés, Lina
Lozada, Juan
Perote, Javier
Tipo de recurso:
Fecha de publicación:
2020
Institución:
Universidad EAFIT
Repositorio:
Repositorio EAFIT
Idioma:
spa
OAI Identifier:
oai:repository.eafit.edu.co:10784/16324
Acceso en línea:
http://hdl.handle.net/10784/16324
Palabra clave:
Firm growth
Firms size
Gini index
Semi-nonparametric approach.
Rights
License
Acceso abierto
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spelling Medellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees2020-06-09T14:23:19Z2020-06-082020-06-09T14:23:19Zhttp://hdl.handle.net/10784/16324C14L11L25This paper proposes a semi-nonparametric (SNP) generalization of the lognormal distribution for studying firm size and providing accurate measures for economic concentration and inequality in terms of the Gini index adjusted to flexible functional forms. The empirical application for a sample of 1,772 Colombian companies from 2002 to 2015 shows that the log-SNP provides a better fit to firm size distribution, especially for the extreme quantiles, for which lognormal distribution overestimates economic concentration. In addition, dynamic panel model estimates indicate that firm characteristics, including size, age, and leverage, are determining factors in explaining firm growth, thus rejecting Gibrat’s law.spaUniversidad EAFITEscuela de Economía y FinanzasFirm size and economic concentration: An analysis from lognormal expansionworkingPaperinfo:eu-repo/semantics/workingPaperDocumento de trabajo de investigacióndrafthttp://purl.org/coar/version/c_b1a7d7d4d402bccehttp://purl.org/coar/resource_type/c_8042Acceso abiertohttp://purl.org/coar/access_right/c_abf2Firm growthFirms sizeGini indexSemi-nonparametric approach.lcortesd@eafit.edu.cojmlozadah@eafit.edu.coCortés, LinaLozada, JuanPerote, JavierLICENSElicense.txtlicense.txttext/plain; charset=utf-82556https://repository.eafit.edu.co/bitstreams/1f89f6bc-eead-497a-8cb5-86d2e912ad33/download76025f86b095439b7ac65b367055d40cMD51ORIGINALWP-2020-16- Lina Cortes.pdfWP-2020-16- Lina Cortes.pdfapplication/pdf1342581https://repository.eafit.edu.co/bitstreams/3e3b5ea6-d815-4505-8b77-e2654c7efa8e/download0758491208e4380b719188f2270b9756MD5210784/16324oai:repository.eafit.edu.co:10784/163242024-03-05 14:06:04.447open.accesshttps://repository.eafit.edu.coRepositorio Institucional Universidad EAFITrepositorio@eafit.edu.co
dc.title.eng.fl_str_mv Firm size and economic concentration: An analysis from lognormal expansion
title Firm size and economic concentration: An analysis from lognormal expansion
spellingShingle Firm size and economic concentration: An analysis from lognormal expansion
Firm growth
Firms size
Gini index
Semi-nonparametric approach.
title_short Firm size and economic concentration: An analysis from lognormal expansion
title_full Firm size and economic concentration: An analysis from lognormal expansion
title_fullStr Firm size and economic concentration: An analysis from lognormal expansion
title_full_unstemmed Firm size and economic concentration: An analysis from lognormal expansion
title_sort Firm size and economic concentration: An analysis from lognormal expansion
dc.creator.fl_str_mv Cortés, Lina
Lozada, Juan
Perote, Javier
dc.contributor.eafitauthor.none.fl_str_mv lcortesd@eafit.edu.co
jmlozadah@eafit.edu.co
dc.contributor.author.none.fl_str_mv Cortés, Lina
Lozada, Juan
Perote, Javier
dc.subject.keyword.spa.fl_str_mv Firm growth
Firms size
Gini index
Semi-nonparametric approach.
topic Firm growth
Firms size
Gini index
Semi-nonparametric approach.
description This paper proposes a semi-nonparametric (SNP) generalization of the lognormal distribution for studying firm size and providing accurate measures for economic concentration and inequality in terms of the Gini index adjusted to flexible functional forms. The empirical application for a sample of 1,772 Colombian companies from 2002 to 2015 shows that the log-SNP provides a better fit to firm size distribution, especially for the extreme quantiles, for which lognormal distribution overestimates economic concentration. In addition, dynamic panel model estimates indicate that firm characteristics, including size, age, and leverage, are determining factors in explaining firm growth, thus rejecting Gibrat’s law.
publishDate 2020
dc.date.available.none.fl_str_mv 2020-06-09T14:23:19Z
dc.date.issued.none.fl_str_mv 2020-06-08
dc.date.accessioned.none.fl_str_mv 2020-06-09T14:23:19Z
dc.type.eng.fl_str_mv workingPaper
info:eu-repo/semantics/workingPaper
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_b1a7d7d4d402bcce
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_8042
dc.type.local.spa.fl_str_mv Documento de trabajo de investigación
dc.type.hasVersion.eng.fl_str_mv draft
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10784/16324
dc.identifier.jel.none.fl_str_mv C14
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url http://hdl.handle.net/10784/16324
identifier_str_mv C14
L11
L25
dc.language.iso.eng.fl_str_mv spa
language spa
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dc.rights.local.spa.fl_str_mv Acceso abierto
rights_invalid_str_mv Acceso abierto
http://purl.org/coar/access_right/c_abf2
dc.coverage.spatial.eng.fl_str_mv Medellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees
dc.publisher.spa.fl_str_mv Universidad EAFIT
dc.publisher.department.spa.fl_str_mv Escuela de Economía y Finanzas
institution Universidad EAFIT
bitstream.url.fl_str_mv https://repository.eafit.edu.co/bitstreams/1f89f6bc-eead-497a-8cb5-86d2e912ad33/download
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