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The Role of Information Feedback in Local Reserve Energy Auction Markets

Author

Listed:
  • Rosen, Christiane

    (E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN))

  • Madlener, Reinhard

    (E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN))

Abstract

In any market, the amount of feedback provided to its participants is one of the most important design choices. In the last couple of decades, several studies on feedback information in games and its role in learning have been conducted. Some of the most notable ones are the results in learning direction theory (Selten & Stoecker, 1986), impulse balance theory (Ockenfels & Selten, 2005), and the findings by Weber (2003). All these approaches have been validated experimentally in single-unit first price auctions (e.g. Dufwenberg & Gneezy, 2002). As the focus of previous studies has been on this specific type of auction, there is little research on information feedback in multi-unit or divisible good auctions. A natural extension to the current literature is to examine the effect of auction round feedback in the latter auction formats. We contribute to this field of research by conducting such a feedback information experiment with an energy market framing. Sellers are endowed with a portfolio of various quantities at different costs. The auctioneer is a single buyer who needs to procure a fixed quantity. We investigate two treatment variables: the strength of competition and, more importantly, the amount of information provided. With regard to previous findings from single-unit first price auctions, we can con firm the influence of feedback on learning and the change in bidder behavior for the divisible good auction case. However, the impact of the competitive situation was generally stronger than the feedback effect. Also, we observe significant differences for socio-demographic factors such as gender and educational background.

Suggested Citation

  • Rosen, Christiane & Madlener, Reinhard, 2013. "The Role of Information Feedback in Local Reserve Energy Auction Markets," FCN Working Papers 15/2013, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
  • Handle: RePEc:ris:fcnwpa:2013_015
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    Citations

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    Cited by:

    1. Andreas Voss and Reinhard Madlener, 2017. "Auction Schemes, Bidding Strategies and the Cost-Optimal Level of Promoting Renewable Electricity in Germany," The Energy Journal, International Association for Energy Economics, vol. 0(KAPSARC S).
    2. Christiane Rosen and Reinhard Madlener, 2016. "Regulatory Options for Local Reserve Energy Markets: Implications for Prosumers, Utilities, and other Stakeholders," The Energy Journal, International Association for Energy Economics, vol. 0(Bollino-M).
    3. Michael Kostmann & Wolfgang K. Härdle, 2019. "Forecasting in Blockchain-Based Local Energy Markets," Energies, MDPI, vol. 12(14), pages 1-27, July.
    4. Andreas Voss & Reinhard Madlener, 2017. "Auction Schemes, Bidding Strategies and the Cost-Optimal Level of Promoting Renewable Electricity in Germany," The Energy Journal, , vol. 38(1_suppl), pages 229-264, June.
    5. Christiane Rosen & Reinhard Madlener, 2016. "Regulatory Options for Local Reserve Energy Markets: Implications for Prosumers, Utilities, and other Stakeholders," The Energy Journal, , vol. 37(2_suppl), pages 39-50, June.
    6. Pedro Meirelles Villas-Bôas & José Maria Ferreira Jardim da Silveira & Fernando Rocha Villas-Bôas, 2023. "Stakeholder Perspectives on Energy Auctions: A Case Study in Roraima, Brazil," Energies, MDPI, vol. 16(14), pages 1-19, July.

    More about this item

    Keywords

    feedback information; divisible good auction; laboratory experiment; reserve energy market;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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