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Accounting for Elimination-by-Aspects Strategies and Demand Management in Electricity Contract Choice

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Abstract

We report on a discrete choice experiment aimed at eliciting Swedish households' willingness-to-accept a compensation for restrictions on household electricity and heating use during peak hours. When analyzing data from discrete choice experiments, we typically assume that people make rational utility maximizing decisions, i.e., that they consider all of the attribute information and compare all alternatives. However, mounting evidence shows that people use a wide range of simplifying strategies that are inconsistent with utility maximization. We use a flexible model capturing a two-stage decision process. In the fi rst stage, respondents are allowed to eliminate from their choice set alternatives that contain an unacceptable level, i.e., restrictions on the use of heating and electricity. In the second stage, respondents choose in a compensatory manner between the remaining alternatives. Our results show that about half of our respondents choose according to an elimination-by-aspects strategy, and that, on average, they are unwilling to accept any restrictions on heating in the evening or electricity use, irrespective of time-of-day. Furthermore, we nd that considering elimination-by-aspects behavior leads to a downward shift in elicited willingness-to-accept. We discuss implications for policy.

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  • Daniel, Aemiro Melkamu & Persson, Lars & Sandorf, Erlend Dancke, 2017. "Accounting for Elimination-by-Aspects Strategies and Demand Management in Electricity Contract Choice," CERE Working Papers 2017:7, CERE - the Center for Environmental and Resource Economics.
  • Handle: RePEc:hhs:slucer:2017_007
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    Cited by:

    1. Jinrui Pan & Jason Shachat & Sijia Wei, 2022. "Cognitive Stress and Learning Economic Order Quantity Inventory Management: An Experimental Investigation," Decision Analysis, INFORMS, vol. 19(3), pages 229-254, September.
    2. Broberg, Thomas & Daniel, Aemiro Melkamu & Persson, Lars, 2021. "Household preferences for load restrictions: Is there an effect of pro-environmental framing?," Energy Economics, Elsevier, vol. 97(C).
    3. Jourdain, Damien & Lairez, Juliette & Striffler, Bruno & Lundhede, Thomas, 2022. "A choice experiment approach to evaluate maize farmers’ decision-making processes in Lao PDR," Journal of choice modelling, Elsevier, vol. 44(C).
    4. Hangjian Wu & Emmanouil Mentzakis & Marije Schaafsma, 2022. "Exploring Different Assumptions about Outcome-Related Risk Perceptions in Discrete Choice Experiments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 81(3), pages 531-572, March.
    5. Swantje Sundt & Katrin Rehdanz & Jürgen Meyerhoff, 2020. "Consumers’ Willingness to Accept Time-of-Use Tariffs for Shifting Electricity Demand," Energies, MDPI, vol. 13(8), pages 1-17, April.
    6. Damien Jourdain & Juliette Lairez & Bruno Striffler & François Affholder, 2020. "Farmers’ preference for cropping systems and the development of sustainable intensification: a choice experiment approach," Review of Agricultural, Food and Environmental Studies, Springer, vol. 101(4), pages 417-437, December.
    7. Damien Jourdain1,2,3 & Juliette Lairez4,5 & Bruno Striffler & François Affholder, 2020. "Farmers’ preference for cropping systems and the development of sustainable intensification: a choice experiment approach," Review of Agricultural, Food and Environmental Studies, INRA Department of Economics, vol. 101(4), pages 417-437.
    8. Gołębiowska, Bernadeta & Bartczak, Anna & Budziński, Wiktor, 2021. "Impact of social comparison on preferences for Demand Side Management in Poland," Energy Policy, Elsevier, vol. 149(C).
    9. Mark Tocock & Dugald Tinch & Darla Hatton MacDonald & John M. Rose, 2023. "Managing the energy trilemma of reliability, affordability and renewables: Assessing consumer demands with discrete choice experiments," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(2), pages 155-175, April.
    10. Contu, Davide & Strazzera, Elisabetta, 2022. "Testing for saliency-led choice behavior in discrete choice modeling: An application in the context of preferences towards nuclear energy in Italy," Journal of choice modelling, Elsevier, vol. 44(C).
    11. Börger, Tobias & Ngoc, Quach Thi Khanh & Kuhfuss, Laure & Hien, Tang Thi & Hanley, Nick & Campbell, Danny, 2021. "Preferences for coastal and marine conservation in Vietnam: Accounting for differences in individual choice set formation," Ecological Economics, Elsevier, vol. 180(C).
    12. Bernadeta Gołębiowska, 2020. "Preferences for demand side management—a review of choice experiment studies," Working Papers 2020-05, Faculty of Economic Sciences, University of Warsaw.

    More about this item

    Keywords

    Choice experiment; Electricity contract; Willingness-to-accept; Household electricity; Elimination-by-aspects; Two-stage decision;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand

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