Estimating End-use Demand - a Bayesian-approach

Bauwens, Luc;Fiebig, DG.;Steel, MFJ.
(1994) Journal of Business and Economic Statistics — Vol. 12, n° 2, p. 221-231 (1994)

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  • Bauwens, Lucorcid-logoUCLouvain
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  • Fiebig, DG.
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  • Steel, MFJ.
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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 that will be the focus of this article. 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.
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Bauwens, L., Fiebig, DG., & Steel, MFJ. (1994). Estimating End-use Demand - a Bayesian-approach. Journal of Business and Economic Statistics, 12(2), 221-231. https://hdl.handle.net/2078.5/146484 (Original work published 1994)