This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

The structure of Australian residential energy demand

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Muhammad Akmal (Department of Economics, Australian National University)
David I. Stern (Centre for Resource and Environmental Studies, Australian National University)

Additional information is available for the following registered author(s):

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.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://een.anu.edu.au/download_files/eep0101.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by Australian National University, Centre for Resource and Environmental Studies, Ecological Economics Program in its series Working Papers in Ecological Economics with number 0101.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length:
Date of creation: Mar 2001
Date of revision:
Handle: RePEc:anu:wpieep:0101

Contact details of provider:
Web page: http://incres.anu.edu.au/EEP/wp.html

For technical questions regarding this item, or to correct its listing, contact: (Jack Pezzey).

Related research
Keywords:

This paper has been announced in the following NEP Reports:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. 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 357-64, March. [Downloadable!] (restricted)
  2. Pedroni, Peter, 1999. " Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 653-70, Special I. [Downloadable!] (restricted)
  3. Chalfant, James A, 1987. "A Globally Flexible, Almost Ideal Demand System," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(2), pages 233-42, April.
  4. Bartels, Robert & Fiebig, Denzil G & Nahm, Daehoon, 1996. "Regional End-Use Gas Demand in Australia," The Economic Record, The Economic Society of Australia, vol. 72(219), pages 319-31, December.
  5. Donnelly, W. A. & Diesendorf, M., 1985. "Variable elasticity models for electricity demand," Energy Economics, Elsevier, vol. 7(3), pages 159-162, July. [Downloadable!] (restricted)
  6. 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. 21(2), pages 51-82.
  7. 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 461-72, August.
  8. Robert Bartels & Denzil G. Fiebig, 1990. "Integrating Direct Metering and Conditional Demand Analysis for Estimating End-Use Loads," The Energy Journal, International Association for Energy Economics, vol. 11(4), pages 79-98.
    Other versions:
  9. 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. [Downloadable!] (restricted)
  10. Maddala, G S & Wu, Shaowen, 1999. " A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 631-52, Special I. [Downloadable!] (restricted)
  11. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-26, June. [Downloadable!] (restricted)
  12. 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 221-31, April.
    Other versions:
  13. 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 317-23, April.
  14. Banerjee, Anindya, 1999. " Panel Data Unit Roots and Cointegration: An Overview," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 607-29, Special I. [Downloadable!] (restricted)
  15. Goldschmidt, Peter, 1988. "Domestic appliance energy usage in Western Australia," Energy Economics, Elsevier, vol. 10(2), pages 155-162, April. [Downloadable!] (restricted)
  16. 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. [Downloadable!] (restricted)
  17. W. A. Donnelly, 1984. "Residential Electricity Demand Modeling in the Australian Capital Territory: Preliminary Results," The Energy Journal, International Association for Energy Economics, vol. 5(2), pages 119-132.
  18. Pasaran, M.H. & Im, K.S. & Shin, Y., 1995. "Testing for Unit Roots in Heterogeneous Panels," Cambridge Working Papers in Economics 9526, Faculty of Economics, University of Cambridge.
    Other versions:
  19. Hawkins, R G, 1975. "The Demand for Electricity: A Cross-section Study of New South Wales and the Australian Capital Territory," The Economic Record, The Economic Society of Australia, vol. 51(133), pages 1-18, March.
Full references

Statistics
Access and download statistics

Did you know? Springer Verlag was the first commercial publisher to be listed on RePEc.

This page was last updated on 2009-11-20.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.