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Price of Fairness on Networked Auctions

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  • Mariusz Kaleta

Abstract

We consider an auction design problem under network flow constraints. We focus on pricing mechanisms that provide fair solutions, where fairness is defined in absolute and relative terms. The absolute fairness is equivalent to “no individual losses” assumption. The relative fairness can be verbalized as follows: no agent can be treated worse than any other in similar circumstances. Ensuring the fairness conditions makes only part of the social welfare available in the auction to be distributed on pure market rules. The rest of welfare must be distributed without market rules and constitutes the so-called price of fairness . We prove that there exists the minimum of price of fairness and that it is achieved when uniform unconstrained market price is used as the base price. The price of fairness takes into account costs of forced offers and compensations for lost profits. The final payments can be different than locational marginal pricing. That means that the widely applied locational marginal pricing mechanism does not in general minimize the price of fairness .

Suggested Citation

  • Mariusz Kaleta, 2014. "Price of Fairness on Networked Auctions," Journal of Applied Mathematics, Hindawi, vol. 2014, pages 1-7, July.
  • Handle: RePEc:hin:jnljam:860747
    DOI: 10.1155/2014/860747
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    Cited by:

    1. Mariusz Kaleta, 2020. "Aided design of market mechanisms for electricity clusters," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 28(4), pages 1291-1314, December.
    2. Riya Kakkar & Rajesh Gupta & Smita Agrawal & Pronaya Bhattacharya & Sudeep Tanwar & Maria Simona Raboaca & Fayez Alqahtani & Amr Tolba, 2022. "Blockchain and Double Auction-Based Trustful EVs Energy Trading Scheme for Optimum Pricing," Mathematics, MDPI, vol. 10(15), pages 1-24, August.

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