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Designing Multi‐unit Multiple Bid Auctions: An Agent‐based Computational Model of Uniform, Discriminatory and Generalised Vickrey Auctions

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  • ATAKELTY HAILU
  • SOPHIE THOYER

Abstract

Multi‐unit auctions are being used by public agencies to allocate resources and to purchase services. These auctions resolve the lumpy bid problem inherent in single‐bid auctions by allowing bidders to submit a supply or demand schedule. However, the choice of pricing formats for multi‐unit auctions is controversial. Neither economic theory nor laboratory experiments depict a complete picture of how alternative pricing formats perform in terms of budgetary or allocative efficiency. This paper constructs an agent‐based computational model to compare uniform, discriminatory and generalised Vickrey pricing formats under different degrees of competition and heterogeneity in the bidder population.

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  • Atakelty Hailu & Sophie Thoyer, 2007. "Designing Multi‐unit Multiple Bid Auctions: An Agent‐based Computational Model of Uniform, Discriminatory and Generalised Vickrey Auctions," The Economic Record, The Economic Society of Australia, vol. 83(s1), pages 57-72, September.
  • Handle: RePEc:bla:ecorec:v:83:y:2007:i:s1:p:s57-s72
    DOI: 10.1111/j.1475-4932.2007.00410.x
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    3. Sharma, Bijay P. & Cho, Seong-Hoon & Yu, T. Edward, 2019. "Designing cost-efficient payments for forest-based carbon sequestration: An auction-based modeling approach," Forest Policy and Economics, Elsevier, vol. 104(C), pages 182-194.
    4. M. S. Iftekhar & A. Hailu & R. K. Lindner, 2014. "Does It Pay to Increase Competition in Combinatorial Conservation Auctions?," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 62(3), pages 411-433, September.
    5. Atakelty Hailu & Sophie Thoyer, 2010. "What Format for Multi-Unit Multiple-Bid Auctions?," Computational Economics, Springer;Society for Computational Economics, vol. 35(3), pages 189-209, March.
    6. Viehmann, Johannes & Lorenczik, Stefan & Malischek, Raimund, 2018. "Multi-unit multiple bid auctions in balancing markets: an agent-based Q-learning approach," EWI Working Papers 2018-3, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    7. Kentaro Kawasaki & Takeshi Fujie & Kentaro Koito & Norikazu Inoue & Hiroki Sasaki, 2012. "Conservation Auctions and Compliance: Theory and Evidence from Laboratory Experiments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 52(2), pages 157-179, June.
    8. Jason Wood & James Nolan, 2021. "Plant location decisions in the ethanol industry: a dynamic and spatial analysis," Computational Economics, Springer;Society for Computational Economics, vol. 58(1), pages 103-132, June.
    9. Azadeh, A. & Skandari, M.R. & Maleki-Shoja, B., 2010. "An integrated ant colony optimization approach to compare strategies of clearing market in electricity markets: Agent-based simulation," Energy Policy, Elsevier, vol. 38(10), pages 6307-6319, October.
    10. Viehmann, Johannes & Lorenczik, Stefan & Malischek, Raimund, 2021. "Multi-unit multiple bid auctions in balancing markets: An agent-based Q-learning approach," Energy Economics, Elsevier, vol. 93(C).
    11. Qunwei Wang & Cheng Cheng & Dequn Zhou, 2020. "Multi-round auctions in an emissions trading system considering firm bidding strategies and government regulations," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(7), pages 1403-1421, October.

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