Short- and long-run time-of-use price elasticities in Swiss residential electricity demand
AbstractThis paper presents an empirical analysis on the residential demand for electricity by time-of-day. This analysis has been performed using aggregate data at the city level for 22 Swiss cities for the period 2000â2006. For this purpose, we estimated two log-log demand equations for peak and off-peak electricity consumption using static and dynamic partial adjustment approaches. These demand functions were estimated using several econometric approaches for panel data, for example LSDV and RE for static models, and LSDV and corrected LSDV estimators for dynamic models. The attempt of this empirical analysis has been to highlight some of the characteristics of the Swiss residential electricity demand. The estimated short-run own price elasticities are lower than 1, whereas in the long-run these values are higher than 1. The estimated short-run and long-run cross-price elasticities are positive. This result shows that peak and off-peak electricity are substitutes. In this context, time differentiated prices should provide an economic incentive to customers so that they can modify consumption patterns by reducing peak demand and shifting electricity consumption from peak to off-peak periods.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. 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.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Elsevier in its journal Energy Policy.
Volume (Year): 39 (2011)
Issue (Month): 10 (October)
Contact details of provider:
Web page: http://www.elsevier.com/locate/enpol
Residential electricity demand by time-of-use Panel data Partial adjustment model;
Other versions of this item:
- Massimo Filippini, 2010. "Short and long-run time-of-use price elasticities in Swiss residential electricity demand," CEPE Working paper series 10-76, CEPE Center for Energy Policy and Economics, ETH Zurich.
- D - Microeconomics
- D2 - Microeconomics - - Production and Organizations
- Q - Agricultural and Natural Resource Economics; Environmental and Ecological Economics
- Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
- Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics
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.:
- Caves, Douglas W. & Christensen, L. R. & Herriges, Joseph A., 1984. "The Consistency of the Residential Customer Response in Time-Of-Use Electricity Pricing Experiments," Staff General Research Papers 10798, Iowa State University, Department of Economics.
- Richard Blundell & Steve Bond, 1995.
"Initial conditions and moment restrictions in dynamic panel data models,"
IFS Working Papers
W95/17, Institute for Fiscal Studies.
- Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
- Blundell, R. & Bond, S., 1995. "Initial Conditions and Moment Restrictions in Dynamic Panel Data Models," Economics Papers 104, Economics Group, Nuffield College, University of Oxford.
- R Blundell & Steven Bond, . "Initial conditions and moment restrictions in dynamic panel data model," Economics Papers W14&104., Economics Group, Nuffield College, University of Oxford.
- Arellano, Manuel & Bond, Stephen, 1991.
"Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations,"
Review of Economic Studies,
Wiley Blackwell, vol. 58(2), pages 277-97, April.
- Tom Doan, . "RATS program to replicate Arellano-Bond 1991 dynamic panel," Statistical Software Components RTZ00169, Boston College Department of Economics.
- Mostafa Baladi, S. & Herriges, Joseph A. & Sweeney, Thomas J., 1998.
"Residential response to voluntary time-of-use electricity rates,"
Resource and Energy Economics,
Elsevier, vol. 20(3), pages 225-244, September.
- Herriges, Joseph A. & Baladi, S. & Sweeney, T., 1998. "Residential Response to Voluntary Time-Of-Use Electricity Rates," Staff General Research Papers 1233, Iowa State University, Department of Economics.
- Massimo Filippini, 1999. "Swiss residential demand for electricity," Applied Economics Letters, Taylor and Francis Journals, vol. 6(8), pages 533-538.
- Mountain, Dean C & Lawson, Evelyn L, 1992. "A Disaggregated Nonhomothetic Modeling of Responsiveness to Residential Time-of-Use Electricity Rates," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 33(1), pages 181-207, February.
- Faruqui, Ahmad & George, Stephen S., 2002. "The Value of Dynamic Pricing in Mass Markets," The Electricity Journal, Elsevier, vol. 15(6), pages 45-55, July.
- Filippini, Massimo, 1995. "Swiss residential demand for electricity by time-of-use," Resource and Energy Economics, Elsevier, vol. 17(3), pages 281-290, November.
- Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-26, November.
- Anderson, T. W. & Hsiao, Cheng, 1982. "Formulation and estimation of dynamic models using panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 47-82, January.
- David Roodman, 2007.
"A Note on the Theme of Too Many Instruments,"
125, Center for Global Development.
- Lijesen, Mark G., 2007. "The real-time price elasticity of electricity," Energy Economics, Elsevier, vol. 29(2), pages 249-258, March.
- Massimo Filippini, 1995. "Swiss Residential Demand for Electricity by Time-of-Use: An Application of the Almost Ideal Demand System," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 27-40.
- Baltagi, Badi H. & Bresson, Georges & Pirotte, Alain, 2002. "Comparison of forecast performance for homogeneous, heterogeneous and shrinkage estimators: Some empirical evidence from US electricity and natural-gas consumption," Economics Letters, Elsevier, vol. 76(3), pages 375-382, August.
- Baltagi, Badi H & Griffin, James M, 1984. "Short and Long Run Effects in Pooled Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 25(3), pages 631-45, October.
- Halvorsen, Robert, 1975. "Residential Demand for Electric Energy," The Review of Economics and Statistics, MIT Press, vol. 57(1), pages 12-18, February.
- Kiviet, Jan F., 1995.
"On bias, inconsistency, and efficiency of various estimators in dynamic panel data models,"
Journal of Econometrics,
Elsevier, vol. 68(1), pages 53-78, July.
- Tom Doan, . "LSDVC: RATS procedure to estimate a dynamic FE model with correction for bias," Statistical Software Components RTS00111, Boston College Department of Economics.
- Caves, Douglas W. & Christensen, Laurits R., 1980. "Econometric analysis of residential time-of-use electricity pricing experiments," Journal of Econometrics, Elsevier, vol. 14(3), pages 287-306, December.
- A. Colin Cameron & Pravin K. Trivedi, 2010. "Microeconometrics Using Stata, Revised Edition," Stata Press books, StataCorp LP, number musr, December.
- Caves, Douglas W. & Christensen, Laurits R. & Herriges, Joseph A., 1984. "Consistency of residential customer response in time-of-use electricity pricing experiments," Journal of Econometrics, Elsevier, vol. 26(1-2), pages 179-203.
- Henley, Andrew & Peirson, John, 1994. "Time-of-use electricity pricing : Evidence from a British experiment," Economics Letters, Elsevier, vol. 45(3), pages 421-426.
- Judson, Ruth A. & Owen, Ann L., 1999. "Estimating dynamic panel data models: a guide for macroeconomists," Economics Letters, Elsevier, vol. 65(1), pages 9-15, October.
- Hill, Daniel H, et al, 1983. "Incentive Payments in Time-of-Day Electricity Pricing Experiments: The Arizona Experience," The Review of Economics and Statistics, MIT Press, vol. 65(1), pages 59-65, February.
- Di Cosmo, Valeria & Lyons, Sean & Nolan, Anne, 2012. "Estimating the impact of time-of-use pricing on Irish electricity demand," MPRA Paper 39971, University Library of Munich, Germany.
- Massimo Filippini & Anna Alberini, 2010.
"Response of Residential Electricity Demand to Price: The Effect of Measurement Error,"
CEPE Working paper series
10-75, CEPE Center for Energy Policy and Economics, ETH Zurich.
- Alberini, Anna & Filippini, Massimo, 2011. "Response of residential electricity demand to price: The effect of measurement error," Energy Economics, Elsevier, vol. 33(5), pages 889-895, September.
- 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.
- Heshmati, Almas, 2012. "Survey of Models on Demand, Customer Base-Line and Demand Response and Their Relationships in the Power Market," IZA Discussion Papers 6637, Institute for the Study of Labor (IZA).
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wendy Shamier).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.