Firm size and economic concentration: An analysis from lognormal expansion

dc.contributor.authorCortés, Lina
dc.contributor.authorLozada, Juan
dc.contributor.authorPerote, Javier
dc.contributor.eafitauthorlcortesd@eafit.edu.co
dc.contributor.eafitauthorjmlozadah@eafit.edu.co
dc.coverage.spatialMedellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degreeseng
dc.date.accessioned2020-06-09T14:23:19Z
dc.date.available2020-06-09T14:23:19Z
dc.date.issued2020-06-08
dc.description.abstractThis 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.eng
dc.identifier.jelC14
dc.identifier.jelL11
dc.identifier.jelL25
dc.identifier.urihttp://hdl.handle.net/10784/16324
dc.language.isospaeng
dc.publisherUniversidad EAFITspa
dc.publisher.departmentEscuela de Economía y Finanzasspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccesseng
dc.rights.localAcceso abiertospa
dc.subject.keywordFirm growthspa
dc.subject.keywordFirms sizespa
dc.subject.keywordGini indexspa
dc.subject.keywordSemi-nonparametric approach.spa
dc.titleFirm size and economic concentration: An analysis from lognormal expansioneng
dc.typeworkingPapereng
dc.typeinfo:eu-repo/semantics/workingPapereng
dc.type.hasVersiondrafteng
dc.type.localDocumento de trabajo de investigaciónspa

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