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Swiss Residential Demand for Electricity by Time-of-Use: An Application of the Almost Ideal Demand System


  • Massimo Filippini


This study examines the residential demand for electricity by time-of-use in Switzerland. For this purpose, an almost ideal demand system (AIDS) model for peak and off-peak electricity consumption is estimated using panel data coveting the years 1987 to 1990 and 21 cities. The empirical analysis characterizes the Swiss residential electricity market as rather price responsive. The own partial price elasticities are estimated to range between -1.29 and -1.50 during the peak period and between -2.36 and -2.42 during the off-peak period. These elasticities show a high responsiveness of electricity consumption to changes in peak and off-peak prices. Moreover, the positive values of the partial cross price elasticities and substitution elasticities show that peak and offpeak electricity are substitutes.

Suggested Citation

  • 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.
  • Handle: RePEc:aen:journl:1995v16-01-a02

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    References listed on IDEAS

    1. Fama, Eugene F & French, Kenneth R, 1988. " Business Cycles and the Behavior of Metals Prices," Journal of Finance, American Finance Association, vol. 43(5), pages 1075-1093, December.
    2. Lester G. Telser, 1958. "Futures Trading and the Storage of Cotton and Wheat," Journal of Political Economy, University of Chicago Press, vol. 66, pages 233-233.
    3. French, Kenneth R, 1986. "Detecting Spot Price Forecasts in Futures Prices," The Journal of Business, University of Chicago Press, vol. 59(2), pages 39-54, April.
    4. Fama, Eugene F., 1984. "Forward and spot exchange rates," Journal of Monetary Economics, Elsevier, vol. 14(3), pages 319-338, November.
    5. Serletis, Apostolos, 1991. "Rational expectations, risk and efficiency in energy futures markets," Energy Economics, Elsevier, vol. 13(2), pages 111-115, April.
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    Cited by:

    1. Gyamfi, Samuel & Krumdieck, Susan & Urmee, Tania, 2013. "Residential peak electricity demand response—Highlights of some behavioural issues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 71-77.
    2. Cosmo, Valeria Di & O’Hora, Denis, 2017. "Nudging electricity consumption using TOU pricing and feedback: evidence from Irish households," Journal of Economic Psychology, Elsevier, vol. 61(C), pages 1-14.
    3. Massimo, Filippini, 2011. "Short- and long-run time-of-use price elasticities in Swiss residential electricity demand," Energy Policy, Elsevier, vol. 39(10), pages 5811-5817, October.
    4. Awudu Abdulai, 2002. "Household Demand for Food in Switzerland. A Quadratic Almost Ideal Demand System," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 138(I), pages 1-18, March.
    5. Shiljkut, Vladimir M. & Rajakovic, Nikola Lj., 2015. "Demand response capacity estimation in various supply areas," Energy, Elsevier, vol. 92(P3), pages 476-486.
    6. Liao, Huei-Chu & Chang, Tsai-Feng, 2002. "Space-heating and water-heating energy demands of the aged in the US," Energy Economics, Elsevier, vol. 24(3), pages 267-284, May.
    7. Filippini, Massimo, 1995. "Electricity demand by time of use An application of the household AIDS model," Energy Economics, Elsevier, vol. 17(3), pages 197-204, July.
    8. Zhou, Kaile & Yang, Shanlin, 2015. "Demand side management in China: The context of China’s power industry reform," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 954-965.

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    JEL classification:

    • F0 - International Economics - - General


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