Introduction to Auctions

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Introduction to Auctions

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Title: Introduction to Auctions


1
Introduction to Auctions
  • David M. Pennock

2
Auctions yesterday
3
Auctions today
  • Ebay
  • 4 million auctions
  • 450k new/day
  • 800 others
  • auctionrover.com
  • biddersedge.com

4
Auctions yesterday vs. today
5
What is an auction?
  • Definition McAfee McMillan, JEL 1987
  • a market institution with an
  • explicit set of rules
  • determining resource allocation and prices
  • on the basis of bids from the market
    participants.
  • Examples

6
B2B auctions and ecommerce
  • Online B2B marketplaces have been established
    recently for more than a dozen major industries,
    including the automotive pharmaceuticals
    scientific supplies asset management building
    and construction plastics and chemicals steel
    and metals computer credit and financing
    energy news and information and livestock
    sectors.
  • Reuters March 29, 2000

7
Why auctions?
  • For object of unknown value
  • Flexible
  • Dynamic
  • Mechanized
  • reduces complexity of negotiations
  • ideal for computer implementation
  • Economically efficient!

8
Taxonomy of common auctions
  • Open auctions
  • English
  • Dutch
  • Sealed-bid auctions
  • first price
  • second price (Vickrey)
  • Mth price, M1st price
  • continuous double auction

9
English auction
  • Open
  • One item for sale
  • Auctioneer begins low typically with sellers
    reserve price
  • Buyers call out bids to beat the current price
  • Last buyer remaining winspays the price that
    (s)he bid

10
Dutch auction
  • Open
  • One item for sale
  • Auctioneer begins highabove the maximum
    foreseeable bid
  • Auctioneer lowers price in increments
  • First buyer willing to accept price winspays
    last announced price
  • less information

11
Sealed-bid first price auction
  • All buyers submit their bids privately
  • buyer with the highest bid winspays the price
    (s)he bid

?
150
120
90
50
12
Sealed-bid second price auction (Vickrey)
  • All buyers submit their bids privately
  • buyer with the highest bid winspays the price
    of the second highest bid

Only pays 120
?
150
120
90
50
13
Incentive compatibility
  • Telling the truth is optimal in second-price
    auction
  • Suppose your value for the item is 100if you
    win, your net gain (loss) is 100 - price
  • If you bid more than 100
  • you increase your chances of winning at price
    100
  • you do not improve your chance of winning for 100
  • If you bid less than 100
  • you reduce your chances of winning at price 100
  • there is no effect on the price you pay if you do
    win
  • Dominant optimal strategy bid 100
  • Key the price you pay is out of your control

14
Collusion
  • Notice that, if some bidders collude, they might
    do better by lying (e.g., by forming a ring)
  • In general, essentially all auctions are subject
    to some sort of manipulation by collusion among
    buyers, sellers, and/or auctioneer.

15
Revenue equivalence
  • Which auction is best for the seller?
  • In second-price auction, buyer pays
  • In first-price auction, buyers shade bids
  • Theorem
  • expected revenue for seller is the same!
  • requires technical assumptions on buyers,
    including independent private values
  • English 2nd price Dutch 1st price

16
Mth price auction
  • English, Dutch, 1st price, 2nd priceN buyers
    and 1 seller
  • Generalize to N buyers and M sellers
  • Mth price auction
  • sort all bids from buyers and sellers
  • price the Mth highest bid
  • let n of buy offers price
  • let m of sell offers
  • let x min(n,m)
  • the x highest buy offers and x lowest sell offers
    win

17
Mth price auction
  • Buy offers (N4)
  • Sell offers (M5)

300
150
170
120
130
90
110
50
80
18
Mth price auction
  • Buy offers (N4)
  • Sell offers (M5)

1
300
170
2
150
3
?
130
4
price 120
120
5
?
110
?
90
80
?
50
  • Winning buyers/sellers

19
M1st price auction
  • Buy offers (N4)
  • Sell offers (M5)

1
300
170
2
150
3
?
130
4
120
5
?
price 110
110
?
6
90
80
?
50
  • Winning buyers/sellers

20
Incentive compatibility
  • M1st price auction is incentive compatible for
    buyers
  • buyers dominant strategy is to bid truthfully
  • M1 is Vickrey second-price auction
  • Mth price auction is incentive compatible for
    sellers
  • sellers dominate strategy is to make offers
    truthfully

21
Impossibility
  • Essentially no auction whatsoever can be
    simultaneously incentive compatible for both
    buyers and sellers!
  • if buyers are induce to reveal their true values,
    then sellers have incentive to lie, and vice
    versa
  • the only way to get both to tell the truth is to
    have some outside party subsidize the auction

22
k-double auction
  • Buy offers (N4)
  • Sell offers (M5)

1
300
170
2
150
3
?
130
4
price 110 10k
120
5
?
110
?
6
90
80
?
50
  • Winning buyers/sellers

23
Continuous double auction
  • k-double auction repeated continuously over time
  • buyers and sellers continually place offers
  • as soon as a buy offer a sell offer, a
    transaction occurs
  • At any given time, there is no overlap btw
    highest buy offer lowest sell offer

24
Continuous double auction
25
Winners curse
  • Common, unknown value for item (e.g., potential
    oil drilling site)
  • Most overly optimistic bidder wins true value
    is probably less

26
Combinatorial auctions
  • E.g. spectrum rights, computer system,
  • n goods ? bids allowed ? 2n combinations
    Maximizing revenue NP-hard (set packing)
  • Enter computer scientists (hot topic)...

27
Prediction auctionsIowa Electronic Markets
http//www.biz.uiowa.edu/iem
1 if Hillary Clinton wins
1 if Rick Lazio wins
1 if Rudy Giuliani wins
28
Prediction auction gamesHollywood Stock Exchange
http//www.hsx.com/
29
Prediction auction gamesForesight Exchange
http//www.ideosphere.com/
1 iff Cancer curedby 2010
Canada breaks upby 2020
Machine Go championby 2020
http//www.us.newsfutures.com/
http//www.100world.com/
30
Prediction markets
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