TitleEssays on late bidding in internet auctions
NameZhang, Ying (author), Perry, Martin K. (chair), Klein, Roger (internal member), Campbell, Colin (internal member), Carare, Octavian (outside member), Rutgers University, Graduate School - New Brunswick,
Letting of contracts,
DescriptionEmpirical studies have documented that buyers in internet auctions tend to bid immediately before the scheduled closing time. This practice of late bidding is often called sniping. My dissertation investigates this phenomenon from both theoretical and empirical aspects. The first chapter of my dissertation studies a second-price independent private value auction with two risk-neutral buyers who can submit a single bid either early or late. Early bids are received by the auctioneer with probability one, but late bids are received with a probability less than one. I prove that there can exist a symmetric cutoff equilibrium in which high-value buyers always bid early and low-value buyers bid late as long as their opponent has not bid early. A sufficient condition is then identified for the existence of the cutoff equilibrium with late bidding. Finally, I illustrate the equilibrium with examples from the beta distribution on values. The second chapter of my dissertation empirically investigates the impact of late bidding on the final price of internet auctions. Using a dataset collected from eBay, I estimate the time after which late bidding has a differential impact on the final price. The time is estimated as a structural break in the data using a method proposed by Bai (1997). The break point occurs approximately three minutes before the close of the auction. The empirical findings indicate that buyers who won auctions by bidding in the last three minutes were typically more experienced than other winners and that they won the auctions for used items at lower prices. The third chapter of my dissertation extends the first chapter by introducing an uncertainty on the number of buyers through a Poisson arrival process. In addition, I investigate the impact of late bidding on the seller’s expected revenue and provide numerical comparative statics for the equilibrium.
NoteIncludes bibliographical references
Noteby Ying Zhang
CollectionGraduate School - New Brunswick Electronic Theses and Dissertations
Organization NameRutgers, The State University of New Jersey
RightsThe author owns the copyright to this work.