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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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  • 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.
    • Handle: RePEc:eee:resene:v:22:y:2000:i:4:p:355-366
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    1. 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.
    2. 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.
    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. 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.
    5. Flaig, Gebhard, 1990. "Household production and the short- and long-run demand for electricity," Energy Economics, Elsevier, vol. 12(2), pages 116-121, April.
    6. 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.
    7. 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.
    8. E. Raphael Branch, 1993. "Short Run Income Elasticity of Demand for Residential Electricity Using Consumer Expenditure Survey Data," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 111-122.
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