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SOLVING THE WINNER DETERMINATION PROBLEM IN A DIVISIBLE-OBJECT AUCTION

机译:解决可分割对象拍卖中的获胜者确定问题

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摘要

In an auction of a divisible object, bidders' demand functions are often assumed to be nonincreasing, meaning that bidders are willing to pay less or the same price for every additional unit. Under this assumption, the optimal allocation that maximizes the auctioneer's revenue can be found using a greedy-based procedure. This article argues that situations may arise where a bidder may need to express her preferences through a nonde-creasing demand function; when such a bidder is present in the auction, the greedy-based procedure does not guarantee the optimal allocation. Thus, this article proposes a mixed integer program that finds the optimal allocation in a divisible-object auction at which bidders submit their bids as arbitrary stepwise demand functions. The practical aspect of the mathematical program is presented by means of a simple yet illustrative example in a treasury bond auction setting. The results of the auctioneer's revenue are reported as a function of the number of bidders with nonincreasing and nondecreasing demand functions.
机译:在拍卖可分割的物体时,通常认为投标人的需求函数没有增加,这意味着投标人愿意为每增加一个单位支付更少或相同的价格。在此假设下,可以使用基于贪婪的程序来找到使拍卖人的收入最大化的最优分配。本文认为,在某些情况下,投标人可能需要通过不降低需求的函数来表达自己的偏好。当这种投标人出现在拍卖中时,基于贪婪的过程不能保证最优分配。因此,本文提出了一种混合整数程序,该程序可以在可分解对象拍卖中找到最优分配,在该拍卖中,投标人将投标作为任意逐步需求函数提交。在国债拍卖环境中,通过一个简单但说明性的示例介绍了数学程序的实践方面。拍卖者收入的结果是随需求函数增加和减少的投标人数量的函数而报告的。

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