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Estimating End-Use Demand: A Bayesian Approach

Journal of Business and Economic StatisticsPublished 1 April 1994
Luc Bauwens, Denzil G. Fiebig, Mark F. J. Steel
Citations7
SJR quartileQ1
SJR score4.17
SNIP2.29

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.

Keywords

Economics, Econometrics and FinanceEnergy