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Estimating elasticities of residential energy demand from panel county data using dynamic random variables models with heteroskedastic and correlated error terms

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  • Garcia-Cerrutti, L. Miguel

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

Volume (Year): 22 (2000)
Issue (Month): 4 (October)
Pages: 355-366

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Handle: RePEc:eee:resene:v:22:y:2000:i:4:p:355-366

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

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  1. 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.
  2. Herbert, John H. & Barber, Linda J., 1988. "Regional residential natural gas demand : Some comments," Resources and Energy, Elsevier, vol. 10(4), pages 387-391, December.
  3. 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.
  4. Lin, Winston T. & Chen, Yueh H. & Chatov, Robert, 1987. "The demand for natural gas, electricity and heating oil in the United States," Resources and Energy, Elsevier, vol. 9(3), pages 233-258, October.
  5. Flaig, Gebhard, 1990. "Household production and the short- and long-run demand for electricity," Munich Reprints in Economics 20345, University of Munich, Department of Economics.
  6. 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.
  7. 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.
  8. Hsing, Yu, 1994. "Estimation of residential demand for electricity with the cross-sectionally correlated and time-wise autoregressive model," Resource and Energy Economics, Elsevier, vol. 16(3), pages 255-263, August.
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Cited by:
  1. Woods, James, 2008. "What people do when they say they are conserving electricity," Energy Policy, Elsevier, vol. 36(6), pages 1945-1956, June.
  2. Soledad Arellano, 2002. "Diagnosing Market Power in Chile´s Electricity Industry," Documentos de Trabajo 214, Instituto de Economia. Pontificia Universidad Católica de Chile..
  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.
  4. Ghalwash, Tarek, 2007. "Energy taxes as a signaling device: An empirical analysis of consumer preferences," Energy Policy, Elsevier, vol. 35(1), pages 29-38, January.
  5. Xavier Labandeira & José M. Labeaga & Xiral López-Otero, 2010. "Estimation of Elasticity Price of Electricity with Incomplete Information," Working Papers 01-2010, Economics for Energy.
  6. Yu, Yihua & Zheng, Xinye & Han, Yi, 2014. "On the demand for natural gas in urban China," Energy Policy, Elsevier, vol. 70(C), pages 57-63.
  7. Yu Sheng & Xunpeng Shi, . "Economic Development, Energy Market Integration and Energy Demand: Implication for East Asia," Chapters, Economic Research Institute for ASEAN and East Asia (ERIA).
  8. Berkhout, Peter H. G. & Ferrer-i-Carbonell, Ada & Muskens, Jos C., 2004. "The ex post impact of an energy tax on household energy demand," Energy Economics, Elsevier, vol. 26(3), pages 297-317, May.
  9. Evans, Paul & Kim, Ji Uk, 2005. "Estimating convergence for Asian economies using dynamic random variable models," Economics Letters, Elsevier, vol. 86(2), pages 159-166, February.
  10. Bernard, Jean-Thomas & Bolduc, Denis & Yameogo, Nadège-Désirée, 2011. "A pseudo-panel data model of household electricity demand," Resource and Energy Economics, Elsevier, vol. 33(1), pages 315-325, January.
  11. Mansur, Erin T. & Mendelsohn, Robert & Morrison, Wendy, 2008. "Climate change adaptation: A study of fuel choice and consumption in the US energy sector," Journal of Environmental Economics and Management, Elsevier, vol. 55(2), pages 175-193, March.
  12. 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.
  13. Agnolucci, Paolo, 2009. "The energy demand in the British and German industrial sectors: Heterogeneity and common factors," Energy Economics, Elsevier, vol. 31(1), pages 175-187, January.
  14. Ghalwash, Tarek, 2004. "Energy Taxes as a Signaling Device: An Empirical Analysis of Consumer Preferences," UmeÃ¥ Economic Studies 646, Umeå University, Department of Economics.
  15. Felipe Lavín & Larry Dale & Michael Hanemann & Mithra Moezzi, 2011. "The impact of price on residential demand for electricity and natural gas," Climatic Change, Springer, vol. 109(1), pages 171-189, December.
  16. Sun, Chuanwang & Lin, Boqiang, 2013. "Reforming residential electricity tariff in China: Block tariffs pricing approach," Energy Policy, Elsevier, vol. 60(C), pages 741-752.
  17. Feuerriegel, Stefan & Neumann, Dirk, 2014. "Measuring the financial impact of demand response for electricity retailers," Energy Policy, Elsevier, vol. 65(C), pages 359-368.
  18. Espey, James A. & Espey, Molly, 2004. "Turning on the Lights: A Meta-Analysis of Residential Electricity Demand Elasticities," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 36(01), April.
  19. Dagher, Leila, 2012. "Natural gas demand at the utility level: An application of dynamic elasticities," Energy Economics, Elsevier, vol. 34(4), pages 961-969.
  20. Dicembrino, Claudio & Trovato, Giovanni, 2013. "Structural Breaks, Price and Income Elasticity, and Forecast of the Monthly Italian Electricity Demand," MPRA Paper 47653, University Library of Munich, Germany.
  21. Blazquez Leticia & Nina Boogen & Massimo Filippini, 2012. "Residential electricity demand for Spain: new empirical evidence using aggregated data," CEPE Working paper series 12-82, CEPE Center for Energy Policy and Economics, ETH Zurich.

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