Price discovery in combinatorial auctions using Gibbs Sampling

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摘要

Considerable research discusses the advantages and disadvantages of combinatorial auctions. This study addresses a disadvantage, the loss of price discovery for the individual items sold as bundles. Prior studies confirm that there may not be a unique unit-level equilibrium price. We claim a distribution of prices satisfy a given allocation and describe a technique to determine these distributions. Gibbs Sampling allows us to discover characteristics of combinatorial auctions based on the allocated bids. We extract the market-influenced unit-level price, bidder profit, reservation discount distributions and are able to find patterns that depict synergies between products. The posterior distribution provides insights useful to managerial decision making.

论文关键词:Pricing,IS implementation,Combinatorial auctions,Gibbs Sampling,Bayesian estimation,Markov processes/chains,Decision analysis,Simulation

论文评审过程:Received 30 September 2003, Revised 17 October 2004, Accepted 18 October 2004, Available online 19 November 2004.

论文官网地址:https://doi.org/10.1016/j.dss.2004.10.011