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A pseudo-panel data model of household electricity demand

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Author Info

  • Bernard, Jean-Thomas
  • Bolduc, Denis
  • Yameogo, Nadège-Désirée

Abstract

We study the dynamic behaviour of household electricity consumption on the basis of four large independent surveys conducted in the province of Québec from 1989 to 2002. The latter region displays some rather unique features such as the very extensive use of electricity for space heating in a cold climate and the wide range of energy sources used to meet space heating requirements. We adopt Deaton (1985) approach to create 25 cohorts of households that form a pseudo-panel. The cohorts have on average 131 households. The model error terms allow for group heteroskedasticity and serial correlation. Short-run and long-run own and cross-price elasticities are statistically significant. Electricity and natural gas are estimated to be substitutes while electricity and fuel oil are complements, as it may occur in the Quebec context. The estimate of the income elasticity is not significant. Comparisons with related studies are provided.

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Bibliographic Info

Article provided by Elsevier in its journal Resource and Energy Economics.

Volume (Year): 33 (2011)
Issue (Month): 1 (January)
Pages: 315-325

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Handle: RePEc:eee:resene:v:33:y:2011:i:1:p:315-325

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Web page: http://www.elsevier.com/locate/inca/505569

Related research

Keywords: Household electricity consumption Pseudo-panel data;

References

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  1. Kamerschen, David R. & Porter, David V., 2004. "The demand for residential, industrial and total electricity, 1973-1998," Energy Economics, Elsevier, vol. 26(1), pages 87-100, January.
  2. Deaton, Angus, 1985. "Panel data from time series of cross-sections," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 109-126.
  3. Garcia-Cerrutti, L. Miguel, 2000. "Estimating elasticities of residential energy demand from panel county data using dynamic random variables models with heteroskedastic and correlated error terms," Resource and Energy Economics, Elsevier, vol. 22(4), pages 355-366, October.
  4. Verbeek, Marno & Nijman, Theo, 1992. "Can Cohort Data Be Treated as Genuine Panel Data?," Empirical Economics, Springer, vol. 17(1), pages 9-23.
  5. Dargay, Joyce M., 2002. "Determinants of car ownership in rural and urban areas: a pseudo-panel analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 38(5), pages 351-366, September.
  6. Verbeek, Marno & Vella, Francis, 2005. "Estimating dynamic models from repeated cross-sections," Journal of Econometrics, Elsevier, vol. 127(1), pages 83-102, July.
  7. Bernard, J.T. & Bolduc, D. & Belanger, D., 1993. "Quebec Residential Electricity Demand: A Microeconometric Approach," Papers 9334, Laval - Recherche en Energie.
  8. Silk, Julian I. & Joutz, Frederick L., 1997. "Short and long-run elasticities in US residential electricity demand: a co-integration approach," Energy Economics, Elsevier, vol. 19(4), pages 493-513, October.
  9. Poyer, David A. & Williams, Martin, 1993. "Residential energy demand: additional empirical evidence by minority household type," Energy Economics, Elsevier, vol. 15(2), pages 93-100, April.
  10. Moffitt, Robert, 1993. "Identification and estimation of dynamic models with a time series of repeated cross-sections," Journal of Econometrics, Elsevier, vol. 59(1-2), pages 99-123, September.
  11. Maddala, G S, et al, 1997. "Estimation of Short-Run and Long-Run Elasticities of Energy Demand from Panel Data Using Shrinkage Estimators," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(1), pages 90-100, January.
  12. Browning, Martin & Deaton, Angus & Irish, Margaret, 1985. "A Profitable Approach to Labor Supply and Commodity Demands over the Life-Cycle," Econometrica, Econometric Society, vol. 53(3), pages 503-43, May.
  13. Dahl, Carol A., 1993. "A survey of energy demand elasticities in support of the development of the NEMS," MPRA Paper 13962, University Library of Munich, Germany.
  14. Poyer, David A. & Henderson, Lenneal & Teotia, Arvind P. S., 1997. "Residential energy consumption across different population groups: comparative analysis for Latino and non-Latino households in USA," Energy Economics, Elsevier, vol. 19(4), pages 445-463, October.
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Citations

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Cited by:
  1. Torriti, Jacopo, 2013. "The significance of occupancy steadiness in residential consumer response to Time-of-Use pricing: Evidence from a stochastic adjustment model," Utilities Policy, Elsevier, vol. 27(C), pages 49-56.
  2. Guo-Feng Fan & Shan Qing & Hua Wang & Wei-Chiang Hong & Hong-Juan Li, 2013. "Support Vector Regression Model Based on Empirical Mode Decomposition and Auto Regression for Electric Load Forecasting," Energies, MDPI, Open Access Journal, vol. 6(4), pages 1887-1901, April.
  3. Anna Alberini & Gans Will & Daniel Lopez-Velez, 2010. "Residential Consumption of Gas and Electricity in the U.S.: The Role of Prices and Income," CEPE Working paper series 10-77, CEPE Center for Energy Policy and Economics, ETH Zurich.

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