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Swiss Household Energy Demand Survey (SHEDS): Objectives, design, and implementation

Author

Listed:
  • Sylvain Weber
  • Paul Burger
  • Mehdi Farsi
  • Adan L. Martinez-Cruz
  • Michael Puntiroli
  • Iljana Schubert
  • Benjamin Volland

Abstract

The Swiss Household Energy Demand Survey (SHEDS) has been developed as part of the research agenda of the Competence Center for Research in Energy, Society, and Transition (SCCER CREST). It is designed to collect a comprehensive description of the Swiss households' energy-related behaviors, their longitudinal changes and the existing potentials for future energy demand reduction. The survey has been planned in five annual waves thus generating a rolling panel dataset of 5,000 respondents per wave. The first two waves of SHEDS were fielded in April 2016 and April-May 2017. This paper elaborates on SHEDS's general objectives, design, and implementation. It also reports a series of practical examples of how the datasets are being used in empirical analyses.

Suggested Citation

  • Sylvain Weber & Paul Burger & Mehdi Farsi & Adan L. Martinez-Cruz & Michael Puntiroli & Iljana Schubert & Benjamin Volland, 2017. "Swiss Household Energy Demand Survey (SHEDS): Objectives, design, and implementation," IRENE Working Papers 17-14, IRENE Institute of Economic Research.
  • Handle: RePEc:irn:wpaper:17-14
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Cécile Hediger, 2022. "Rebound effects in residential heating: How much does an extra degree matter?," IRENE Working Papers 22-05, IRENE Institute of Economic Research.
    2. Lang, Ghislaine & Farsi, Mehdi & Lanz, Bruno & Weber, Sylvain, 2021. "Energy efficiency and heating technology investments: Manipulating financial information in a discrete choice experiment," Resource and Energy Economics, Elsevier, vol. 64(C).
    3. Benjamin Volland & Mehdi Farsi & Sébastien Lasvaux & Pierryves Padey, 2020. "Too little too late: An empirical study of renovation of building elements," IRENE Working Papers 20-02, IRENE Institute of Economic Research.
    4. Landis, Florian & Rausch, Sebastian, 2019. "Policy Instrument Choice with Co-Benefits: The Case of Decarbonizing Transport," Conference papers 333103, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    5. Filippini, Massimo & Wekhof, Tobias, 2021. "The effect of culture on energy efficient vehicle ownership," Journal of Environmental Economics and Management, Elsevier, vol. 105(C).
    6. Tilov, Ivan & Farsi, Mehdi & Volland, Benjamin, 2019. "Interactions in Swiss households’ energy demand: A holistic approach," Energy Policy, Elsevier, vol. 128(C), pages 136-149.
    7. Yilmaz, S. & Rinaldi, A. & Patel, M.K., 2020. "DSM interactions: What is the impact of appliance energy efficiency measures on the demand response (peak load management)?," Energy Policy, Elsevier, vol. 139(C).
    8. Arielle Moro & Adrian Holzer, 2020. "A Framework to Predict Consumption Sustainability Levels of Individuals," Sustainability, MDPI, vol. 12(4), pages 1-27, February.
    9. Yilmaz, Selin & Xu, Xiaojing & Cabrera, Daniel & Chanez, Cédric & Cuony, Peter & Patel, Martin K., 2020. "Analysis of demand-side response preferences regarding electricity tariffs and direct load control: Key findings from a Swiss survey," Energy, Elsevier, vol. 212(C).
    10. Tilov, Ivan & Weber, Sylvain, 2023. "Heterogeneity in price elasticity of vehicle kilometers traveled: Evidence from micro-level panel data," Energy Economics, Elsevier, vol. 127(PA).
    11. Laurent Ott & Mehdi Farsi & Sylvain Weber, 2021. "Beyond political divides: analyzing public opinion on carbon taxation in Switzerland," Chapters, in: Axel Franzen & Sebastian Mader (ed.), Research Handbook on Environmental Sociology, chapter 17, pages 313-339, Edward Elgar Publishing.
    12. Velvart, Joëlle & Dato, Prudence & Kuhlmey, Florian, 2022. "Tailored interventions in a major life decision: A home relocation discrete choice experiment," Working papers 2022/03, Faculty of Business and Economics - University of Basel.
    13. Yilmaz, S. & Weber, S. & Patel, M.K., 2019. "Who is sensitive to DSM? Understanding the determinants of the shape of electricity load curves and demand shifting: Socio-demographic characteristics, appliance use and attitudes," Energy Policy, Elsevier, vol. 133(C).
    14. Hediger, Cécile, 2023. "The more kilometers, the merrier? The rebound effect and its welfare implications in private mobility," Energy Policy, Elsevier, vol. 180(C).
    15. Jeremy van Dijk & Mehdi Farsi & Sylvain Weber, 2020. "Travel mode choices in a greening market: the impact of electric vehicles and prior investments," IRENE Working Papers 20-04, IRENE Institute of Economic Research.
    16. Ott, Laurent & Weber, Sylvain, 2022. "How effective is carbon taxation on residential heating demand? A household-level analysis," Energy Policy, Elsevier, vol. 160(C).
    17. Benedikt Maciosek & Mehdi Farsi & Sylvain Weber & Martin Jakob, 2022. "Impact of complexity and experience on energy investment decisions for residential buildings," IRENE Working Papers 22-07, IRENE Institute of Economic Research.
    18. Patrick Ludwig & Christian Winzer, 2022. "Tariff Menus to Avoid Rebound Peaks: Results from a Discrete Choice Experiment with Swiss Customers," Energies, MDPI, vol. 15(17), pages 1-21, August.
    19. Lang, Ghislaine & Lanz, Bruno, 2021. "Energy efficiency, information, and the acceptability of rent increases: A survey experiment with tenants," Energy Economics, Elsevier, vol. 95(C).
    20. Benedikt Maciosek & Mehdi Farsi & Sylvain Weber & Martin Jakob, 2022. "Analysis of investment decisions based on homeowners' stated preferences: Policy measures, smart technologies and financing options," IRENE Working Papers 22-06, IRENE Institute of Economic Research.
    21. Puntiroli, Michael & Moussaoui, Lisa S. & Bezençon, Valéry, 2022. "Are consumers consistent in their sustainable behaviours? A longitudinal study on consistency and spillover," Journal of Business Research, Elsevier, vol. 144(C), pages 322-335.
    22. Tilov, Ivan & Farsi, Mehdi & Volland, Benjamin, 2020. "From frugal Jane to wasteful John: A quantile regression analysis of Swiss households’ electricity demand," Energy Policy, Elsevier, vol. 138(C).
    23. Alperen Bektas & Valentino Piana & René Schumann, 2021. "A meso-level empirical validation approach for agent-based computational economic models drawing on micro-data: a use case with a mobility mode-choice model," SN Business & Economics, Springer, vol. 1(6), pages 1-25, June.

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    More about this item

    Keywords

    energy; longitudinal survey; Switzerland.;
    All these keywords.

    JEL classification:

    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General

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