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dc.contributor.advisorNormand, Charles
dc.contributor.authorLordan, Grace
dc.date.accessioned2019-05-01T12:48:41Z
dc.date.available2019-05-01T12:48:41Z
dc.date.issued2008
dc.identifier.citationGrace Lordan, 'Measuring the efficiency of multi-level healthcare facilities with stochastic demand : a labour requirements frontier approach', [thesis], Trinity College (Dublin, Ireland). Department of Economics, 2008, pp 371
dc.identifier.otherTHESIS 8601
dc.description.abstractThis thesis is concerned with estimating efficiency using stochastic frontier analysis (SFA). It is argued that a classical SPA approach is the most appropriate technique for estimating efficiency scores for healthcare firms. The firms considered in this work are out-of-hours (OOH) co-ops that supply OOH primary care throughout the island of Ireland. These co-ops operate as a two-level structure, with a number of treatment centres operating within each co-op. Therefore, it is necessary to incorporate a multi-level framework into the analysis, as well as specifying a SFA approach that makes sense to the OOH co-op’s own characteristics and structure. While this may seem obvious, it is argued that this is often not practised in healthcare applications.
dc.format1 volume
dc.language.isoen
dc.publisherTrinity College (Dublin, Ireland). Department of Economics
dc.relation.isversionofhttp://stella.catalogue.tcd.ie/iii/encore/record/C__Rb13547196
dc.subjectEconomics, Ph.D.
dc.subjectPh.D. Trinity College Dublin
dc.titleMeasuring the efficiency of multi-level healthcare facilities with stochastic demand : a labour requirements frontier approach
dc.typethesis
dc.type.supercollectionthesis_dissertations
dc.type.supercollectionrefereed_publications
dc.type.qualificationlevelDoctoral
dc.type.qualificationnameDoctor of Philosophy (Ph.D.)
dc.rights.ecaccessrightsopenAccess
dc.format.extentpaginationpp 371
dc.description.noteTARA (Trinity's Access to Research Archive) has a robust takedown policy. Please contact us if you have any concerns: rssadmin@tcd.ie
dc.identifier.urihttp://hdl.handle.net/2262/86448


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