Estimating end-use demand: A Bayesian approach

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dc.contributor.author Bauwens, Luc
dc.contributor.author Fiebig, Denzil G.
dc.contributor.author Steel, Mark F.J.
dc.contributor.editor Universidad Carlos III de Madrid. Departamento de Economía
dc.date.accessioned 2008-08-25T08:26:04Z
dc.date.available 2008-08-25T08:26:04Z
dc.date.issued 1992-07
dc.identifier.issn 2340-5031
dc.identifier.uri http://hdl.handle.net/10016/2839
dc.description.abstract Eliminating negative end-use or appliance consumption estimates and incorporating direct metering information into the process of generating these estimates; these are two important aspects, of conditional demand analysis (CDA) that will be the focus of this raper. In both cases a Bayesian approach seems a natural way of proceeding. What needs to be investigated is whether it is also a viable and effective approach. In addition, such a framework naturally lends itself to prediction. Our application involves the estimation of electrical appliance consumptions for a sample of Australian households. This application is designed to illustrate the viability of a full Bayesian analysis of the problem.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.relation.ispartofseries Working Papers
dc.relation.ispartofseries 1992-30
dc.rights Atribución-NoComercial-SinDerivadas 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.other End-use demand
dc.subject.other Direct metering
dc.subject.other Non-negative estimates
dc.subject.other Bayesian conditional demand analysis
dc.title Estimating end-use demand: A Bayesian approach
dc.type workingPaper
dc.subject.eciencia Economía
dc.rights.accessRights openAccess
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