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dc.creatorCamúñez Ruiz, José Antonioes
dc.creatorBasulto Santos, Jesúses
dc.creatorOrtega Irizo, Francisco Javieres
dc.date.accessioned2019-02-21T08:43:30Z
dc.date.available2019-02-21T08:43:30Z
dc.date.issued2009
dc.identifier.citationCamúnez Ruiz, J.A., Basulto Santos, J. y Ortega Irizo, F.J. (2009). Comparing bayesian and corrected least-squares estimators in frontier production models. BEIO, Boletín de Estadística e Investigación Operativa, 25 (2), 1-11.
dc.identifier.issn1889-3805es
dc.identifier.urihttps://hdl.handle.net/11441/83317
dc.description.abstractIn the econometric approach to deterministic frontier production mod- els, the use of maximum likelihood estimation has major problems, because the model violates the usual regularity conditions that allow to establish the desirable asymptotic properties of the estimators. To avoid this diculty, we may use other approachs. One of the methods most widely used is the corrected least-squares estimator. Alternatively, we can perform the Bayesian estimation using Gibbs sampling. In this paper, we make a comparative study of both approachs using simulation methods. We will conclude that the bayesian estimator has better properties in terms of bias and mean squared error, especially for the intercept term; this fact can result very important to estimate the individual eciencies, which is one of the main objectives of these models.es
dc.formatapplication/pdfes
dc.language.isospaes
dc.publisherSociedad Española de Estadística e Investigación Operativaes
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectProduction modelses
dc.subjectBayesian Inferencees
dc.subjectGibbs samplinges
dc.subjectCor- rected least-squares estimator.es
dc.titleComparing bayesian and corrected least-squares estimators in frontier production modelses
dc.typeinfo:eu-repo/semantics/articlees
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessrightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Economía Aplicada Ies
idus.format.extent11es
dc.journaltitleBEIO, Boletín de Estadística e Investigación Operativaes
dc.publication.volumen25es
dc.publication.issue2es
dc.publication.initialPage1es
dc.publication.endPage11es

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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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