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On estimating efficiency effects in a stochastic frontier model

dc.contributor.authorPaul, Satya
dc.contributor.authorShankar, Sriram
dc.date.accessioned2019-07-26T00:18:29Z
dc.date.issued2018
dc.date.updated2019-03-31T07:22:26Z
dc.description.abstractThis paper proposes a technical efficiency effects model within the framework of stochastic production frontier. The efficiency effects are specified by a standard normal cumulative distribution function of exogenous variables which ensures the efficiency scores to lie in a unit interval. This specification eschews one-sided error term present in almost all the existing inefficiency effects models. The efficiency scores are obtained directly once the parameters of the model are estimated. An empirical exercise based on the widely used Philippines rice farming data illustrates the simplicity and usefulness of the proposed model.en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn0377-2217en_AU
dc.identifier.urihttp://hdl.handle.net/1885/164727
dc.language.isoen_AUen_AU
dc.publisherElsevieren_AU
dc.rights© 2018 Elsevier B.Ven_AU
dc.sourceEuropean Journal of Operational Researchen_AU
dc.titleOn estimating efficiency effects in a stochastic frontier modelen_AU
dc.typeJournal articleen_AU
local.bibliographicCitation.issue2en_AU
local.bibliographicCitation.lastpage774en_AU
local.bibliographicCitation.startpage769en_AU
local.contributor.affiliationPaul, Satya, Amrita Universityen_AU
local.contributor.affiliationShankar, Sriram, College of Arts and Social Sciences, ANUen_AU
local.contributor.authoruidShankar, Sriram, u1011384en_AU
local.description.embargo2037-12-31
local.description.notesImported from ARIESen_AU
local.identifier.absfor140304 - Panel Data Analysisen_AU
local.identifier.absfor140209 - Industry Economics and Industrial Organisationen_AU
local.identifier.ariespublicationu4485658xPUB1459en_AU
local.identifier.citationvolume271en_AU
local.identifier.doi10.1016/j.ejor.2018.05.052en_AU
local.identifier.scopusID2-s2.0-85048994891
local.identifier.thomsonID000440960300029
local.publisher.urlhttps://www.elsevier.com/en-auen_AU
local.type.statusPublished Versionen_AU

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