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Optimal bidding in auctions from a game theory perspective

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  • Lorentziadis, Panos L.

Abstract

The game theoretic perspective in auction bidding has provided a powerful normative framework for the analysis of auctions and it has generated an impressive volume of research contributions. Tracing this research, we review key recent advances, which have greatly expanded our understanding of the operation of auctions and produced a more accurate analysis of mechanism design and optimal bidding. We follow various experimental studies which have shown that the predictive power of auction theory remains in many cases limited. For this reason, we concentrate on research themes, which enhance the applicability of auction theory leading to more realistic descriptions of bidding behaviors. We identify important innovations, which expand the environment of auction bidding and carry us beyond rational decision making. We conclude providing directions of future research and discussing their implications.

Suggested Citation

  • Lorentziadis, Panos L., 2016. "Optimal bidding in auctions from a game theory perspective," European Journal of Operational Research, Elsevier, vol. 248(2), pages 347-371.
  • Handle: RePEc:eee:ejores:v:248:y:2016:i:2:p:347-371
    DOI: 10.1016/j.ejor.2015.08.012
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    8. Xiaohu Qian & Min Huang & Qingyu Zhang & Mingqiang Yin & Xingwei Wang, 2018. "Mechanism design of incentive-based reverse auctions with loss-averse 3PLs under incomplete attributes," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-20, November.
    9. Xiaohu Qian & Shu-Cherng Fang & Min Huang & Qi An & Xingwei Wang, 2018. "Reverse auctions with regret-anticipated bidders," Annals of Operations Research, Springer, vol. 268(1), pages 293-313, September.
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