Natural gas demand at the utility level: An application of dynamic elasticities
Previous studies provide strong evidence that energy demand elasticities vary across regions and states, arguing in favor of conducting energy demand studies at the smallest unit of observation for which good quality data are readily available, that is the utility level. We use monthly data from the residential sector of Xcel Energy's service territory in Colorado for the period January 1994 to September 2006. Based on a very general Autoregressive Distributed Lag model this paper uses a new approach to simulate the dynamic behavior of natural gas demand and obtain dynamic elasticities. Knowing consumers' response on a unit time basis enables one to answer a number of questions, such as, the length of time needed to reach demand stability. Responses to price and income were found to be much lower–even in the long run–than has been commonly suggested in the literature. Interestingly, we find that the long run equilibrium is reached relatively quickly, around 18months after a change in price or income has occurred, while the literature implies a much longer period for complete adjustments to take place.
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- Murray, Michael P, et al, 1978. "The Demand for Electricity in Virginia," The Review of Economics and Statistics, MIT Press, vol. 60(4), pages 585-600, November.
- Chern, Wen S. & Just, Richard E., 1980. "Regional analysis of electricity demand growth," Energy, Elsevier, vol. 5(1), pages 35-46.
- Bentzen, Jan & Engsted, Tom, 2001.
"A revival of the autoregressive distributed lag model in estimating energy demand relationships,"
Elsevier, vol. 26(1), pages 45-55.
- Bentzen, J. & Engsted, T., 1999. "A Revival of the Autoregressive Distributed Lag Model in Estimating Energy Demand Relationships," Papers 99-7, Aarhus School of Business - Department of Economics.
- A. Greening, Lorna & Greene, David L. & Difiglio, Carmen, 2000. "Energy efficiency and consumption -- the rebound effect -- a survey," Energy Policy, Elsevier, vol. 28(6-7), pages 389-401, June.
- Peter Kennedy, 2003. "A Guide to Econometrics, 5th Edition," MIT Press Books, The MIT Press, edition 5, volume 1, number 026261183x, June.
- 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.
- Ernst R. Berndt & G. Campbell Watkins, 1977. "Demand for Natural Gas: Residential and Commercial Markets in Ontario and British Columbia," Canadian Journal of Economics, Canadian Economics Association, vol. 10(1), pages 97-111, February.
- Xavier Labandeira & José M. Labeaga & Miguel Rodríguez, 2005.
"A Residential Energy Demand System for Spain,"
0501, Massachusetts Institute of Technology, Center for Energy and Environmental Policy Research.
- 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.
- Andrews, Donald W K, 1993.
"Tests for Parameter Instability and Structural Change with Unknown Change Point,"
Econometric Society, vol. 61(4), pages 821-56, July.
- Donald W.K. Andrews, 1990. "Tests for Parameter Instability and Structural Change with Unknown Change Point," Cowles Foundation Discussion Papers 943, Cowles Foundation for Research in Economics, Yale University.
- 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.
- Koli Fatai & Les Oxley & Frank G. Scrimgeour, 2003. "Modeling and Forecasting the Demand for Electricity in New Zealand: A Comparison of Alternative Approaches," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 75-102.
- Uri, Noel D., 1983. "The regional demand for energy by the residential sector in the United States," Applied Energy, Elsevier, vol. 13(1), pages 23-44, January.
- Gehuang D. Nan & Donald A. Murry, 1992. "Energy Demand with the Flexible Double-Logarithmic Functional Form," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 149-160.
- Smith, V. Kerry, 1980. "Estimating the price elasticity of US electricity demand," Energy Economics, Elsevier, vol. 2(2), pages 81-85, April.
- J. Daniel Khazzoom, 1980. "Economic Implications of Mandated Efficiency in Standards for Household Appliances," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 21-40.
- Halvorsen, Robert & Palmquist, Raymond, 1980. "The Interpretation of Dummy Variables in Semilogarithmic Equations," American Economic Review, American Economic Association, vol. 70(3), pages 474-75, June.
- Kramer, Walter & Ploberger, Werner & Alt, Raimund, 1988. "Testing for Structural Change in Dynamic Models," Econometrica, Econometric Society, vol. 56(6), pages 1355-69, November.
- Dolado, Juan J & Jenkinson, Tim & Sosvilla-Rivero, Simon, 1990. " Cointegration and Unit Roots," Journal of Economic Surveys, Wiley Blackwell, vol. 4(3), pages 249-73.
- Rushdi, Ali Ahmed, 1986. "Interfuel substitution in the residential sector of South Australia," Energy Economics, Elsevier, vol. 8(3), pages 177-185, July.
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