Last-Minute Bidding and the Rules for Ending Second-Price Auctions: Evidence from eBay and Amazon Auctions on the Internet

By Alvin E. Roth, Axel Ockenfels. 2002

1,067 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Marketing, Safety Research

View Paper: https://www.semanticscholar.org/paper/8cf58b25d87491f5aef4080b2fbf9b521aa70a8b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Science and Operations Research

In Marketing

In Safety Research

Citations in the corpus

Customer Behavior Modeling in Revenue Management and Auctions: A Review and New Research Opportunities (2007, background): “Although there are some studies on the effect of auction formats (Lucking-Reiley 1999) and the last-minute bidding phenomenon (Roth and Ockenfels 2002), Internet bidders’ behaviors are still not well studied.”
Explaining and Forecasting Online Auction Prices and Their Dynamics Using Functional Data Analysis (2008, methodology): “…for modeling the bid arrival process and proposed the BARISTA (Bid ARrivals In STAges) model, a class of three-stage nonhomogeneous Poisson processes that captures different bidding dynamics, including the self-similarity property that has been empirically observed in Roth and Ockenfels (2002).”
Bargaining outside the lab - a newspaper experiment of a three person-ultimatum game (2005, positive): “The influence of the chosen medium on economic decision making promises to become a more important topic in the future, given the steady increase in electronic business transactions (see Lucking-Reiley and Spulber, 2001; Lucking-Reiley, 2000; Roth and Ockenfels, 2002).”
Race Effects on Ebay (2015, background): “Roth and Ockenfels (2002), describe how naïve bidders may submit incremental bids that are lower than their valuation because they act as if they will have to pay the amount they bid if they win the auction.”
An Experimental Analysis of Ending Rules in Internet Auctions (2003, neutral): “Some combination of these uncontrolled differences 3 Surveys of late bidders by Roth and Ockenfels (2002) identified at least two sources of risk involved in late bidding.”
Agent-Based Computational Economics: Growing Economies From the Bottom Up (2002, background): “Sniping has become an increasingly popular bidding strategy in Internet auctions such as eBay with hard closing rules (fixed end times), despite forceful attempts by auction managers to discourage the practice [83].”
Managing electricity procurement cost and risk by a local distribution company (2004, background): “A likely cause for non-competitive quotes, the advantage enjoyed by the “bid sniping” seller includes (a) not giving other sellers enough time to respond, (b) winning without revealing its likely lower willingness-to-accept, and (c) avoiding a price war with inexperienced auction participants (Roth ”
Reputation in Auctions: Theory, and Evidence from e Bay (2006, neutral): “Like Roth and Ockenfels (2002) we also observe a tendency for late bidding.”
Asymmetric information and contract design for payments for environmental services (2008, background): “... structures and the format's cost of assembling landowners in a common location, virtual or real; (3) indivisible versus divisible offers, where land units may be divisible and thus increase bidders' strategy space and make predictions of bidding behavior more difficult (Back and Zender, 1993; Mc”