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 InfoPaper provided by Université catholique de Louvain, Center for Operations Research and Econometrics (CORE) in its series CORE Discussion Papers RP with number -1090.
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Note: In : Journal of Business and Economic Statistics, 12, (2) 221-231, 1994
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- Bodil M. Larsen & Runa Nesbakken, 2003. "How to quantify household electricity end-use consumption," Discussion Papers 346, Research Department of Statistics Norway.
- Muhammad Akmal & David I. Stern, 2001. "The structure of Australian residential energy demand," Working Papers in Ecological Economics 0101, Australian National University, Centre for Resource and Environmental Studies, Ecological Economics Program.
- Muhammad Akmal & David I. Stern, 2001. "Residential energy demand in Australia: an application of dynamic OLS," Working Papers in Ecological Economics 0104, Australian National University, Centre for Resource and Environmental Studies, Ecological Economics Program.
- Brencic, Vera & Young, Denise, 2009.
"Time-Saving Innovations, Time Allocation, and Energy Use: Evidence from Canadian Households,"
2009-2, University of Alberta, Department of Economics.
- Brencic, Vera & Young, Denise, 2009. "Time-saving innovations, time allocation, and energy use: Evidence from Canadian households," Ecological Economics, Elsevier, vol. 68(11), pages 2859-2867, September.
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