Estimating End-Use Demand: A Bayesian Approach

Luc Bauwens, Denzil Fiebig and Mark Steel

Journal of Business & Economic Statistics, 1994, vol. 12, issue 2, 221-31

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 paper. 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. The authors' 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.

Date: 1994
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Related works:
Working Paper: Estimating End-use Demand: a Bayesian Approach (1994)
Working Paper: Estimating End-Use Demand: A Bayesian Approach (1992)
Working Paper: Estimating end-use demand: A Bayesian approach (1992)
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