Publication Type

Journal Article

Version

Publisher’s Version

Publication Date

2-2010

Abstract

Simultaneous online auctions, in which the auction of all items being sold starts at the same time and ends at the same time, are becoming popular especially in selling items such as collectables and art pieces. In this paper, we analyze the characteristics of bidders (Reactors) in simultaneous auctions who update their pre-auction value of an item in the presence of influencing bidders (Influencers). We represent an auction as a network of bidders where the nodes represent the bidders participating in the auction and the ties between them represent an Influencer?Reactor relationship. We further develop a random effects bilinear model that is capable of handling covariates of both bidder types at the same time and account for higher order dependence among the bidders during the auction. Using the model and data from a Modern Indian Art auction, we find that Reactors tend to update their values on items that have high pre-auction estimates, bid on items created by high investment risk artists; bid selectively only on certain items; and are more active in the second half of the auction. Implications for the auction house managers are discussed.

Discipline

Arts Management | Management Sciences and Quantitative Methods | Marketing

Research Areas

Marketing

Publication

Journal of Probability and Statistics

Volume

2010

First Page

1

Last Page

18

ISSN

1687-952X

Identifier

10.1155/2010/539763

Publisher

Hindawi

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Additional URL

http://dx.doi.org/10.1155/2010/539763

Share

COinS