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Journal of Business & Economic Statistics Volume 12, 1994 - Issue 2
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Original Articles

Estimating End-use Demand: A Bayesian Approach

Luc Bauwens CORE, Catholic University of Louvain, 1348 Louvain-la-Neuve, Belgium
,
Denzil G. Fiebig Department of Econometrics, University of Sydney, Sydney, New South Wales 2006, Australia
&
Mark F. J. Steel Department of Econometrics, Tilburg University, 5000 LE Tilburg, The Netherlands; Department of Economics, Universidad Carlos III de Madrid Getafe, Madrid, 28903, Spain
Pages 221-231 | Published online: 02 Jul 2012

REFERENCES

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  • Bauwens , L. and Richard , J.-F. 1982 . “A Poly-t Random Variable Generator, With Application to Monte Carlo Integration,” , Catholic University of Louvain, CORE . Discussion Paper 8214
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  • Fiebig , D. G. , Bartels , R. and Aigner , D. J. 1991 . “A Random Coefficient Approach to the Estimation of Residential End-Use Load Profiles,” . Journal of Econometrics , 50 : 297 – 328 .
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  • Hsiao , C. , Mountain , D. C. and Ho , K. F. 1990 . “A Bayesian Integration of End-use Metering and Conditional Demand Analysis,” unpublished paper presented at the 6th World Congress of the Econometric Society, Barcelona, August 22–29
  • Koenker , R. 1981 . “A Note on Studentizing a Test for Heteroscedasticity,” . Journal of Econometrics , 17 : 107 – 112 .
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  • Sebold , F. D. and Parris , K. M. 1989 . “Residential End-use Energy Consumption: A Survey of Conditional Demand Estimates,” , Palo Alto , CA : Electric Power Research Institute . Report CU-6487
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