Estimating end-use demand: A Bayesian approach

Luc Bauwens, Denzil Fiebig and Mark Steel

UC3M Working papers. Economics from Universidad Carlos III de Madrid. Departamento de Economía

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: End-use; demand; Direct; metering; Non-negative; estimates; Bayesian; conditional; demand; analysis (search for similar items in EconPapers)
Date: 1992-07
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Related works:
Journal Article: Estimating End-Use Demand: A Bayesian Approach (1994)
Working Paper: Estimating End-use Demand: a Bayesian Approach (1994)
Working Paper: Estimating End-Use Demand: A Bayesian Approach (1992)
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Persistent link: https://EconPapers.repec.org/RePEc:cte:werepe:2839

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