Snipers, Shills, and Sharks: eBay and Human Behavior

Snipers, Shills, and Sharks: eBay and Human Behavior

by Ken Steiglitz
Snipers, Shills, and Sharks: eBay and Human Behavior

Snipers, Shills, and Sharks: eBay and Human Behavior

by Ken Steiglitz

eBook

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Overview

Every day on eBay, millions of people buy and sell a vast array of goods, from rare collectibles and antiques to used cars and celebrity memorabilia. The internet auction site is remarkably easy to use, which accounts in part for its huge popularity. But how does eBay really work, and how does it compare to other kinds of auctions? These are questions that led Ken Steiglitz--computer scientist, collector of ancient coins, and a regular eBay user--to examine the site through the revealing lens of auction theory.


The result is this book, in which Steiglitz shows us how human behaviors in open markets like eBay can be substantially more complex than those predicted by standard economic theory. In these pages we meet the sniper who outbids you in an auction's closing seconds, the early bidder who treats eBay as if it were an old-fashioned outcry auction, the shill who bids in league with the seller to artificially inflate the price--and other characters as well. Steiglitz guides readers through the fascinating history of auctions, how they functioned in the past and how they work today in online venues like eBay. Drawing on cutting-edge economics as well as his own stories from eBay, he reveals practical auction strategies and introduces readers to the fundamentals of auction theory and the mathematics behind eBay.


Complete with exercises and a detailed appendix, this book is a must for sophisticated users of online auctions, and essential reading for students seeking an accessible introduction to the study of auction theory.


Product Details

ISBN-13: 9780691233864
Publisher: Princeton University Press
Publication date: 08/10/2021
Sold by: Barnes & Noble
Format: eBook
Pages: 304
File size: 7 MB

About the Author

Ken Steiglitz is Professor of Computer Science at Princeton University. He is the author of A Digital Signal Processing Primer and the coauthor of Combinatorial Optimization: Algorithms and Complexity.

Table of Contents


Preface     xiii
To the general reader     xiii
To students and course instructors     xiv
Synopsis     xv
Acknowledgments     xix
English and Vickrey Auctions     1
Auctions     1
A Brief History     5
English Auctions     8
Variations on the English Theme     10
Truthful Bidding is Dominant in (Japanese Button) English Auctions     12
Sealed-bid Second-Price (Vickrey) Auctions     14
Mail-bid Auctions     16
Weak Strategic Equivalence of (Japanese button) English and Vickrey Auctions     17
The Four Standard Auctions and Why They Are Two Pairs     18
Disincentives to truthful bidding     21
Questions     22
From Vickrey to eBay     25
eBay as an Evolutionary Product of Vickrey: The California Auction     25
Other Online Auction Rules     28
eBay [not equal] Vickrey     30
Summary     32
Questions     32
eBay Strategies Observed     34
Some Bidding Histories     34
Start and End Clustering, Snipers     34
A Bidding War     36
An Early Bidder andHer Fate     38
"Enter Your Maximum, Then Sit Back and Watch!"     39
Good Reasons to Snipe     40
Other (Generally Good) Reasons to Snipe     43
Bidding Wars, Response to Incremental Bidding     43
Implicit Collusion     44
Nonstrategic Reasons to Bid Late     45
Some (Questionable) Reasons to Bid Early     46
Uncertain Values and the Cost of Discovery     46
Scaring Away Competition     47
Nonstrategic Reasons to Bid Early     50
On Balance, Snipe     51
Seller Choices     51
Opening Bid     52
Use of a Secret Reserve     54
Use of the Buy-It-Now Option     56
Other Seller Choices     57
The Next Three Chapters     60
Questions     61
What If eBay Were First-Price?     65
First-Price Is the More Natural Assumption     65
The Sealed-Bid First-Price Auction     66
The Simplest of All Worlds     67
The Independent Private Values (IPV) model     67
How to Shade     71
Revenue: The Bottom Line     73
A First-Price eBay Would Discourage Early Bidding      74
First-Price Is More Work for the Bidder     75
Further Theory Disappoints     76
Conclusion     77
Questions     78
The Signals that Sellers Send     79
Reserves     79
Price Estimates and Related Revelations     81
Virtue Rewarded, in Theory     83
Art, Silver, and Jewelry Auctions: Empirical Observations of Seller Price Estimates     86
The Complexity of the Seller's Signaling     88
What Theory Has To Say About Reserves     90
The Tradeoff in Second-Price Auctions     91
The Tradeoff in First-Price Auctions     91
The Optimal Reserve     92
The New Equilibrium     92
Practical Implications     94
Field Experiments     95
A Field Comparison of Public vs. Secret Reserves on eBay     99
Lucking-Reiley's Magic Window in Time     100
Field Confirmation of Some First-Price Theory     101
Flatness of Revenue vs. Reserve Curves     102
The Importance of the Extra Bidder     104
Extracting Some Advice for the eBay Seller     105
Questions     107
Prices!     108
Appraising the Scaffolding      108
Valuations     109
Equilibrium     111
Homo economicus     111
Overbidding: Some Classroom Experiments     112
Experiment 1: First-price with Uniformly Distributed Valuations     113
Experiment 2: First-Price with Less Competition     114
Feedback and Learning     116
Feedback in First-Price Auctions     117
Feedback in Second-Price and English Auctions     117
Overbidding: Jars of Nickels     118
Results from the Field: Tests of Revenue Equivalence     120
Magic on the Internet: A Surprise     121
Music CDs and Xboxes on eBay     123
Reconciliations     125
Equilibrium Regained     125
Risk Aversion     126
Spite: An Alternative Theory     130
The Theoretically Informed (and Human) eBay Bidder     134
Simply a Mistake: Bidding Untruthfully in Vickrey's Setting     135
The Winner's Curse     135
Lessons from the Failures of Revenue Equivalence     137
Spiteful Behavior     138
Wars, Frenzies, and Bubbles     140
Questions     147
Transgressions     150
Shills      150
Shill Bidding and Theory     155
Mock Auctions: The More Important Diamond     157
Bidder Rings: 84 Charing Cross Road     158
Ethics     162
The Twinge of Guilt: The Buyer Withholds Information     162
Conversely: The Seller Withholds Information     163
Sniping     164
Shadowing Bidders     164
The Ethics of Feedback     165
Exporting and Importing Ancient Artifacts     166
A Note on Downright Fraud     168
Fakes     169
Questions     173
Epilogue     174
Looking Back     174
Looking Ahead     176
Vickrey's Genesis     179
Introduction     179
A Preview of Revenue Equivalence     180
Quick Review of Some Probability Theory     183
Order Statistics     185
Revenue of Second-Price Auctions     188
First-Price Auctions and Nash Equilibria     189
Revenue Equivalence of First-and Second-Price Auctions with Uniformly Distributed Values     190
A Nash Equilibrium for First-Price Sealed-Bid Auctions     192
Revenue of First-Price Auctions     197
Conditional Expectation      198
An Interpretation of First-Price Equilibrium Bidding Strategy     200
Stronger Revenue Equivalence     200
Dutch Auctions and Strategic Equivalence     202
Another Kind of Auction-the All-Pay Auction     203
Questions     205
Riley and Samuelson's Optimal Auctions     207
Definition of Riley and Samuelson's Class     207
Revenue     208
Optimal Reserve Price     211
Example: First-Price Auction with Reserve     213
Example: Second-Price Auction with Reserve     215
Sad Losers and Santa Claus     216
The Sad-Loser Auction     217
The Santa Claus Auction     219
The All-Pay Auction Revisited     222
Risk Aversion     224
Point of Departure     227
Questions     227
Myerson's Optimal Mechanisms     230
Directions     230
Interdependent Values     231
Asymmetric Bidders     235
Efficiency     236
Myerson's Optimal Mechanism in the Asymmetric-Bidder Case     239
Interlude: Revenue Equivalence Revisited in the Asymmetric-Bidder Case     242
The Optimal Allocation Rule      244
The Payment Rule     247
A Wrinkle     248
Is This Practical?     248
Optimal Riley and Samuelson Auctions Are Optimal Mechanisms     249
Auctions vs. Negotiations     249
Summary     252
Questions     253
Laboratory Evidence: A Summary     254
Introduction     254
Laboratory Experiments     255
Experimental Results for the IPV Model     256
Experimental Results for the Common-Value Model     259
References     263
Index     271

What People are Saying About This

Parkes

Steiglitz is uniquely positioned to discuss eBay—as a computer scientist, an aficionado of eBay and auctions for rare coins, and someone well versed in auction theory. The book is peppered with vivid examples and first-person tales. The main theme throughout is that real-world bidding behavior and prescriptions for auction design differ sometimes quite markedly from that predicted by classic auction theory. Steiglitz's approach is pragmatic: what does the empirical evidence reveal about how people bid on eBay, and which kinds of auctions are best for sellers? Most notably, the author provides behavioral explanations for commonly observed behavior on eBay, such as sniping, as well as anecdotal evidence about bidding rings and other seller manipulations.
David C. Parkes, Harvard University

From the Publisher

"Wow—a rare treat, enjoyable to read and useful for anyone who ever wondered what to do when they crack open the eBay home page!"—Orley Ashenfelter, Princeton University

"There is a wealth of interesting detail about how eBay actually works in practice, along with lessons to be drawn from the theory. Graduate students in economics and allied fields will see this book as a very nice reader were they thinking of doing research in the area of auctions in general and eBay in particular. Steiglitz offers a useful gateway for those interested in delving deeper into this topic area. The book is invaluable for instructors looking to offer a course on electronic auctions."—John Morgan, University of California, Berkeley

"Steiglitz is uniquely positioned to discuss eBay—as a computer scientist, an aficionado of eBay and auctions for rare coins, and someone well versed in auction theory. The book is peppered with vivid examples and first-person tales. The main theme throughout is that real-world bidding behavior and prescriptions for auction design differ sometimes quite markedly from that predicted by classic auction theory. Steiglitz's approach is pragmatic: what does the empirical evidence reveal about how people bid on eBay, and which kinds of auctions are best for sellers? Most notably, the author provides behavioral explanations for commonly observed behavior on eBay, such as sniping, as well as anecdotal evidence about bidding rings and other seller manipulations."—David C. Parkes, Harvard University

John Morgan

There is a wealth of interesting detail about how eBay actually works in practice, along with lessons to be drawn from the theory. Graduate students in economics and allied fields will see this book as a very nice reader were they thinking of doing research in the area of auctions in general and eBay in particular. Steiglitz offers a useful gateway for those interested in delving deeper into this topic area. The book is invaluable for instructors looking to offer a course on electronic auctions.
John Morgan, University of California, Berkeley

Orley Ashenfelter

Wow—a rare treat, enjoyable to read and useful for anyone who ever wondered what to do when they crack open the eBay home page!
Orley Ashenfelter, Princeton University

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