ESTIMATION OF JOINT COSTS ALLOCATION COEFFICIENTS USING THE MAXIMUM ENTROPY: A CASE OF MEDITERRANEAN FARMS

dc.contributor.authorFragoso, Rui Manuel de Sousa
dc.contributor.authorCarvalho, Maria Leonor da Silva
dc.date.accessioned2014-01-08T15:59:29Z
dc.date.available2014-01-08T15:59:29Z
dc.date.issued2012-07
dc.description.abstractThis paper aims to estimate the farm joint costs allocation coefficients from whole farm input costs. An entropy approach was developed under a Tobit formulation and it was applied to a sample of farms from the 2004 Farm Accounting Data Network base for the Alentejo region, Southern Portugal. Five alternative model specifications respecting error bounds, the central value of the uniform prior support and the generalized cross entropy were tested. Model results were assessed in terms of their precision and estimation power and were compared with real data. The entropy estimation showed a high degree of precision and its practical validity was guaranteed to allocate joint costs, even in the specific context of Mediterranean farms.por
dc.identifier.authoremailrfragoso@uevora.pt
dc.identifier.authoremailleonor@uevora.pt
dc.identifier.citationFragoso, Rui Manuel de Sousa; Maria Leonor da Silva Carvalho (2012). “Estimation of joint costs allocation coefficients using the maximum entropy: a case of mediterranean farms”, Journal on Quantitative Economics, Vol. 10 No.2, July 2012, 91-111.por
dc.identifier.pagina91-111
dc.identifier.revistaJournal on Quantitative Economics
dc.identifier.scientificarea638por
dc.identifier.sharewithCEFAGE; ICAAM; Departamento de Gestãopor
dc.identifier.urihttp://hdl.handle.net/10174/9406
dc.identifier.volumeVol 10, nº 2
dc.language.isoengpor
dc.peerreviewedyespor
dc.rightsrestrictedAccesspor
dc.subjectGeneralized maximum entropypor
dc.subjectallocation costspor
dc.subjectjoin costspor
dc.subjectAlentejo regionpor
dc.subjectFADN data basepor
dc.titleESTIMATION OF JOINT COSTS ALLOCATION COEFFICIENTS USING THE MAXIMUM ENTROPY: A CASE OF MEDITERRANEAN FARMSpor
dc.typearticlepor

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