Local exponential frontier estimation

cg.authorship.typesCGIAR single centreen
cg.contributor.crpPolicies, Institutions, and Markets
cg.creator.identifierCarlos Martins-Filho: 0000-0003-2678-2525
cg.identifier.doihttps://doi.org/10.12660/bre.v33n22013.26508en
cg.identifier.projectIFPRI - Markets, Trade, and Institutions Division
cg.identifier.publicationRankNot ranked
cg.issn1980-2447en
cg.issue2en
cg.journalAmerican Economic Journal: Applied Economicsen
cg.reviewStatusPeer Reviewen
cg.volume33en
dc.contributor.authorMartins-Filho, Carlosen
dc.contributor.authorZiegelmann, Flávio Augustoen
dc.contributor.authorda Silva Torrent, Hudsonen
dc.date.accessioned2024-08-01T02:49:54Zen
dc.date.available2024-08-01T02:49:54Zen
dc.identifier.urihttps://hdl.handle.net/10568/149764
dc.titleLocal exponential frontier estimationen
dcterms.abstractIn this paper we propose a local exponential estimator for a multiplicative nonparametric frontiermodel rst introduced by Martins-Filho & Yao (2007). We improve their estimation procedure by adoptinga variant of the local exponential smoothing introduced in Ziegelmann (2002). Our estimator is shown to beconsistent and asymptotically normal under mild regularity conditions. In addition, due to local exponentialsmoothing, potential negativity of conditional variance functions that may hinder the use of Martins-Filhoand Yao's estimator is avoided. A Monte Carlo study is performed to shed light on the nite sample proper-ties of the estimator and to contrast its performance with that of the estimator proposed in Martins-Filho &Yao (2007). We also conduct an empirical exercise in which a production function and associated ecienciesfor branches of nancial institutions in the United States are estimated.en
dcterms.accessRightsLimited Access
dcterms.bibliographicCitationMartins-Filho, Carlos; Ziegelmann, Flávio Augusto; and da Silva Torrent, Hudson. 2014. Local exponential frontier estimation. Brazilian Review of Econometrics 33(2): 171-216. https://doi.org/10.12660/bre.v33n22013.26508en
dcterms.extentpp. 171-216en
dcterms.issued2014
dcterms.languageen
dcterms.publisherFundacao Getulio Vargasen
dcterms.replaceshttps://ebrary.ifpri.org/digital/collection/p15738coll5/id/4758en
dcterms.subjectregression analysisen
dcterms.subjectparametric programmingen
dcterms.typeJournal Article

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