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The structure of Australian residential energy demand

Author

Listed:
  • Muhammad Akmal

    (Department of Economics, Australian National University)

  • David I. Stern

    (Centre for Resource and Environmental Studies, Australian National University)

Abstract

This paper presents the first national-level econometric estimates of the residential energy demand system for Australia. We estimate an Almost Ideal (AI) demand system for electricity, gas, and other miscellaneous fuels (mainly oil and wood) using quarterly data for both the country as a whole and for a panel of the five most populous States. The national data set covers the period from 1969 Q3 to 1998 Q2, while the state level data is only available from 1984 Q3 onwards. According to the national-level data, the pairs of electricity and miscellaneous fuels and gas and miscellaneous fuels are significant substitutes, whereas electricity and gas - the two main fuels - may be complements. The panel model, in contrast, finds significant substitution possibilities between gas and miscellaneous fuels only. The cross-price elasticities between electricity and gas are positive but not significant. The gas own-price elasticity is zero in the national model and unit elastic in the panel model. A national model estimated over the same shorter time period still shows complementarity between electricity and natural gas but most results are insignificant. Both large time-series and cross-sectional dimensions are valuable in estimating elasticities. Compared to North American estimates, our results show greater own price and income elasticities for natural gas and the miscellaneous category. They also show more substitutability between natural gas and the miscellaneous category.

Suggested Citation

  • Muhammad Akmal & David I. Stern, 2001. "The structure of Australian residential energy demand," Working Papers in Ecological Economics 0101, Australian National University, Centre for Resource and Environmental Studies, Ecological Economics Program.
  • Handle: RePEc:anu:wpieep:0101
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    1. Osterwald-Lenum, Michael, 1992. "A Note with Quantiles of the Asymptotic Distribution of the Maximum Likelihood Cointegration Rank Test Statistics," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 461-472, August.
    2. Bauwens, Luc & Fiebig, Denzil G & Steel, Mark F J, 1994. "Estimating End-Use Demand: A Bayesian Approach," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(2), pages 221-231, April.
    3. Robert Bartels & Denzil G. Fiebig, 2000. "Residential End-Use Electricity Demand: Results from a Designed Experiment," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 51-81.
    4. Goldschmidt, Peter, 1988. "Domestic appliance energy usage in Western Australia," Energy Economics, Elsevier, vol. 10(2), pages 155-162, April.
    5. Donnelly, W. A. & Diesendorf, M., 1985. "Variable elasticity models for electricity demand," Energy Economics, Elsevier, vol. 7(3), pages 159-162, July.
    6. W. A. Donnelly, 1984. "Residential Electricity Demand Modeling in the Australian Capital Territory: Preliminary Results," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 119-132.
    7. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    8. Robert Bartels & Denzil G. Fiebig, 1990. "Integrating Direct Metering and Conditional Demand Analysis for Estimating End-Use Loads," The Energy Journal, , vol. 11(4), pages 79-98, October.
    9. Chalfant, James A, 1987. "A Globally Flexible, Almost Ideal Demand System," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(2), pages 233-242, April.
    10. Fiebig, Denzil G. & Bartels, Robert & Aigner, Dennis J., 1991. "A random coefficient approach to the estimation of residential end-use load profiles," Journal of Econometrics, Elsevier, vol. 50(3), pages 297-327, December.
    11. repec:bla:obuest:v:61:y:1999:i:0:p:607-29 is not listed on IDEAS
    12. repec:bla:obuest:v:61:y:1999:i:0:p:653-70 is not listed on IDEAS
    13. repec:bla:ecorec:v:51:y:1975:i:133:p:1-18 is not listed on IDEAS
    14. Rushdi, Ali Ahmed, 1986. "Interfuel substitution in the residential sector of South Australia," Energy Economics, Elsevier, vol. 8(3), pages 177-185, July.
    15. Dhrymes, Phoebus J, 1973. "Small Sample and Asymptotic Relations Between Maximum Likelihood and Three Stage Least Squares Estimators," Econometrica, Econometric Society, vol. 41(2), pages 357-364, March.
    16. repec:bla:obuest:v:61:y:1999:i:0:p:631-52 is not listed on IDEAS
    17. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    18. David L. Ryan & Yu Wang & Andre Plourde, 1996. "Asymmetric Price Responses of Residential Energy Demand in Ontario," Canadian Journal of Economics, Canadian Economics Association, vol. 29(s1), pages 317-323, April.
    19. Dumagan, Jesus C. & Mount, Timothy D., 1993. "Welfare effects of improving end-use efficiency: Theory and application to residential electricity demand," Resource and Energy Economics, Elsevier, vol. 15(2), pages 175-201, June.
    20. repec:bla:ecorec:v:72:y:1996:i:219:p:319-31 is not listed on IDEAS
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    3. Jonathan Haughton & David Tuerck, 2006. "The Incidence of State Taxes on Oil and Gas," Public Finance Review, , vol. 34(5), pages 527-550, September.

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