Measuring firm size distribution with semi-nonparametric densities

dc.contributor.authorCortés, Lina
dc.contributor.authorMora-Valencia, Andrés
dc.contributor.authorPerote, Javier
dc.contributor.eafitauthorlcortesd@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.accessioned2017-01-31T15:55:01Z
dc.date.available2017-01-31T15:55:01Z
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 performance of the lognormal and log-SNP distributions capturing firm size, measured through a sample of US firms in 2004-2015. Taking different levels of aggregation by type of economic activity, our study shows that the log-SNP provides a better fit of the firm size distribution. We also formally introduce the multivariate log-SNP distribution, which encompasses the multivariate lognormal, to analyze the estimation of the joint distribution of the value of the firm’s assets and sales. The results suggest that sales are a better firm size measure, as indicated by other studies in the literature.eng
dc.identifier.jelC14
dc.identifier.jelC53
dc.identifier.jelL11
dc.identifier.urihttp://hdl.handle.net/10784/11181
dc.language.isoengeng
dc.publisherUniversidad EAFITspa
dc.publisher.departmentEscuela de Economía y Finanzasspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccesseng
dc.rights.localAcceso abiertospa
dc.subject.keywordFirms size distributionspa
dc.subject.keywordHeavy tail distributionsspa
dc.subject.keywordSemi-nonparametric modelingspa
dc.subject.keywordBivariate distributions.spa
dc.titleMeasuring firm size distribution with semi-nonparametric densitieseng
dc.typeworkingPapereng
dc.typeinfo:eu-repo/semantics/workingPapereng
dc.type.hasVersiondrafteng
dc.type.localDocumento de trabajo de investigaciónspa

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