Investigating Overbidders in Online Art Auctions Using a Bilinear Mixed Model

26 Pages Posted: 14 Jun 2007

See all articles by Mayukh Dass

Mayukh Dass

Texas Tech University - Area of Marketing

Lynne

University of Georgia - Department of Statistics

Srinivas K. Reddy

University of Georgia - Department of Marketing

Date Written: June 7, 2007

Abstract

The recent advancements in network data modeling such as bilinear mixed models have opened doors to many other social researches that were not possible to explore earlier. In this paper, we demonstrate an application of a bilinear mixed model for a complex human behavior such as overbidding in auctions, i.e. placing a bid of higher value than his or her preset valuation of the item. We use an innovative approach of illustrating auction data in the form of a network. The rich network framework allows us to consider bidder interdependence and examine overbidders (termed in the paper as Reactors) in the presence of bidders who have influenced them to do so (termed here as Influencers). Results show that Reactors bid on fewer items, but on those with high pre-auction estimated values. They also tend to bid more in the second half of the auction as compared to the first half. Implications for the auction house managers were also presented.

Keywords: Bilinear Mixed Models, Online Auctions, Bidder Characteristics

JEL Classification: D44, C11

Suggested Citation

Dass, Mayukh and Seymour, Lynne and Reddy, Srinivas K., Investigating Overbidders in Online Art Auctions Using a Bilinear Mixed Model (June 7, 2007). Available at SSRN: https://ssrn.com/abstract=992079 or http://dx.doi.org/10.2139/ssrn.992079

Mayukh Dass (Contact Author)

Texas Tech University - Area of Marketing ( email )

Box-42101
Rawls College of Business
Lubbock, TX Lubbock 79409
United States
806 742 1924 (Phone)

HOME PAGE: http://www.mdass.com

Lynne Seymour

University of Georgia - Department of Statistics ( email )

Athens, GA 30602
United States

Srinivas K. Reddy

University of Georgia - Department of Marketing ( email )

GA
United States

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