Estimating End-Use Demand: A Bayesian Approach
AbstractEliminating 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.
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Bibliographic InfoArticle provided by American Statistical Association in its journal Journal of Business and Economic Statistics.
Volume (Year): 12 (1994)
Issue (Month): 2 (April)
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Web page: http://www.amstat.org/publications/jbes/index.cfm?fuseaction=main
Other versions of this item:
- BAUWENS, Luc & FIEBIG, Denzil & STEEL, Mark, 1992. "Estimating End-Use Demand : A Bayesian Approach," CORE Discussion Papers 1992052, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Bauwens, Luc & Fiebig, Denzil G. & Steel, Mark F.J., . "Estimating end-use demand: A Bayesian approach," Open Access publications from Universidad Carlos III de Madrid info:hdl:10016/2839, Universidad Carlos III de Madrid.
- Bauwens, L. & Fiebig, D. G. & Steel, M. F. J., . "Estimating End-use Demand: a Bayesian Approach," CORE Discussion Papers RP -1090, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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- Zhang, Fan, 2011. "Distributional impact analysis of the energy price reform in Turkey," Policy Research Working Paper Series 5831, The World Bank.
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