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Short and long-run time-of-use price elasticities in Swiss residential electricity demand

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  • Massimo Filippini

    () (Centre for Energy Policy and Economics (CEPE), Department of Management, Technology and Economics, ETH Zurich and Department of Economics, Università della Svizzera Italiana, Switzerland)

Abstract

This 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 2000 to 2006. For this purpose, we estimated two log-log demand equations for peak and off-peak electricity consumption using a static and a dynamic partial adjustment approach. These demand functions were estimated using several econometric approaches for panel data, for example LSDV, RE for static models and corrected LSDV, and GMM 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, as expected, are higher than 1. The estimated short run as well as 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.

Suggested Citation

  • 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.
  • Handle: RePEc:cee:wpcepe:10-76
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    References listed on IDEAS

    as
    1. 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.
    2. Aubin, Christophe, et al, 1995. "Real-Time Pricing of Electricity for Residential Customers: Econometric Analysis of an Experiment," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 10(S), pages 171-191, Suppl. De.
    3. Massimo Filippini, 1999. "Swiss residential demand for electricity," Applied Economics Letters, Taylor & Francis Journals, vol. 6(8), pages 533-538.
    4. 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.
    5. 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.
    6. 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.
    7. 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 631-645, October.
    8. 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 Archive 10798, Iowa State University, Department of Economics.
    9. Henley, Andrew & Peirson, John, 1994. "Time-of-use electricity pricing : Evidence from a British experiment," Economics Letters, Elsevier, vol. 45(3), pages 421-426.
    10. 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.
    11. 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.
    12. Halvorsen, Robert, 1975. "Residential Demand for Electric Energy," The Review of Economics and Statistics, MIT Press, vol. 57(1), pages 12-18, February.
    13. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    14. 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.
    15. Filippini, Massimo, 1995. "Swiss residential demand for electricity by time-of-use," Resource and Energy Economics, Elsevier, vol. 17(3), pages 281-290, November.
    16. Faruqui, Ahmad & Malko, J.Robert, 1983. "The residential demand for electricity by time-of-use: A survey of twelve experiments with peak load pricing," Energy, Elsevier, vol. 8(10), pages 781-795.
    17. Flaig, Gebhard, 1990. "Household production and the short- and long-run demand for electricity," Energy Economics, Elsevier, vol. 12(2), pages 116-121, April.
    18. David Roodman, 2009. "A Note on the Theme of Too Many Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 135-158, February.
    19. 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.
    20. Lijesen, Mark G., 2007. "The real-time price elasticity of electricity," Energy Economics, Elsevier, vol. 29(2), pages 249-258, March.
    21. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
    22. 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.
    23. A. Colin Cameron & Pravin K. Trivedi, 2010. "Microeconometrics Using Stata, Revised Edition," Stata Press books, StataCorp LP, number musr, April.
    24. 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.
    25. 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.
    26. 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.
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    More about this item

    Keywords

    residential electricity demand by time-of-use; time-of-use rates; panel data; partial adjustment model;

    JEL classification:

    • 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

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