Paper by Antonia Hao Chen

Online pay-to-bid auctions
Paper by
Antonia Hao Chen
Discussant comments by: Robert Breunig
[email protected]
13 November, 2014
1
Nice things about the paper
• Many things to like
• Interesting topic
• Theory & data & estimates
• Estimation strategy takes the theory seriously
2
Simple example: two bidders (v =$2.50)
bid
Price
Cost to
winner
A
1
$0.01
$0.76
$1.74
-$1.74
B
2
$0.02
$0.77
$1.73
-$0.98
A
3
$0.03
$1.53
$0.97
-$0.22
B
4
$0.04
$1.54
$0.96
$0.54
A
5
$0.05
$2.30
$0.20
$1.30
B
6
$0.06
$2.31
$0.19
$2.06
A
7
$0.07
$3.07
-$0.57
$2.82
Bidders
3
Value to
winner
Value to
seller
Comments on simple example
• When N =2, like the centipede game
• Nash equilibrium: first bidder randomly selected, bids. No other
bids. Game ends at bid 1.
• When N > 2, depends upon probabilities of other players
bidding.
• Beliefs become central
4
My experience–one dollar coin auction
• Experience of bidders make final auction price lower
Not what is found in this paper
Question: Is there a relationship between number of bidders and
whether the auction has experienced or inexperienced bidders? This
was not clear and could drive the results.
5
Where to from here
There is a big contribution to be made in exploring these results
more systematically.
• Other data sets–do we find the same thing?
• Lab experiments
How do people form expectations of other players’ behaviour?
• Richer theoretical model
Risk aversion looks to me like barking up the wrong tree
Incorporate number of bidders
6
Where to from here (bis)
Lots of assumptions that could be relaxed (at least in a lab setting if
not in a theoretical model)
• Common value assumption?
Sellers may not share value of buyers
Bulk discounts
• Full information assumption
• Paper discusses bid ‘aggression’
What could this mean?; Need to formalise
Does this imply irrationallity?
7
List of Slides
1
2
3
4
5
6
7
Online pay-to-bid auctions
Nice things about the paper
Simple example: two bidders (v =$2.50)
Comments on simple example
My experience–one dollar coin auction
Where to from here
Where to from here (bis)