Measuring firm size distribution with semi-nonparametric densities

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dc.contributor.authorLina M. Cortés
dc.contributor.authorMora-Valencia, A.
dc.contributor.authorPerote, Javier
dc.contributor.departmentUniversidad EAFIT. Departamento de Economía y Finanzasspa
dc.contributor.researchgroupFinanzas y Banca (Gifyb)spa
dc.creatorLina M. Cortés
dc.creatorMora-Valencia, A.
dc.creatorPerote, Javier
dc.date.accessioned2021-05-05T21:47:51Z
dc.date.available2021-05-05T21:47:51Z
dc.date.issued2017-01-16
dc.description.abstractIn this article, we propose a new methodology based on a (log) semi-nonparametric (log- SNP) distribution that nests the lognormal and enables better fits in the upper tail of the distribution through the introduction of new parameters. We test the perforeng
dc.identifierhttps://eafit.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=6411
dc.identifier.urihttp://hdl.handle.net/10784/29738
dc.language.isoengeng
dc.relationhttp://hdl.handle.net/10784/11181
dc.titleMeasuring firm size distribution with semi-nonparametric densitieseng
dc.typeinfo:eu-repo/semantics/workingPapereng
dc.typeworkingPapereng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.typepublishedVersioneng
dc.type.localDocumento de trabajo de investigaciónspa

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