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

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  • Massimo Filippini

Abstract

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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    Cited by:

    1. Valeria Di Cosmo & Elisa Trujillo-Baute, 2018. "From Forward to Spot Prices: Producers, Retailers and Loss Averse Consumers in Electricity Markets," Working Papers 2018.31, Fondazione Eni Enrico Mattei.
    2. Benjamin Volland & Ivan Tilov, 2018. "Price elasticities of electricity demand in Switzerland: Results from a household panel," IRENE Working Papers 18-03, IRENE Institute of Economic Research.
    3. Cappers, Peter A. & Todd-Blick, Annika, 2021. "Heterogeneity in own-price residential customer demand elasticities for electricity under time-of-use rates: Evidence from a randomized-control trial in the United States," Utilities Policy, Elsevier, vol. 73(C).
    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. 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.
    6. 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.
    7. 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.
    8. Ciarreta, Aitor & Espinosa, Maria Paz & Pizarro-Irizar, Cristina, 2023. "Pricing policies for efficient demand side management in liberalized electricity markets," Economic Modelling, Elsevier, vol. 121(C).
    9. 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.
    10. Yana Jin & Shiqiu Zhang, 2013. "Elasticity Estimates of Urban Resident Demand for Electricity: A Case Study in Beijing," Energy & Environment, , vol. 24(7-8), pages 1229-1248, December.
    11. Shiljkut, Vladimir M. & Rajakovic, Nikola Lj., 2015. "Demand response capacity estimation in various supply areas," Energy, Elsevier, vol. 92(P3), pages 476-486.
    12. 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.
    13. 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.
    14. A. Gürhan Kök & Kevin Shang & Şafak Yücel, 2018. "Impact of Electricity Pricing Policies on Renewable Energy Investments and Carbon Emissions," Management Science, INFORMS, vol. 64(1), pages 131-148, January.

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    JEL classification:

    • F0 - International Economics - - General

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