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Solution Manual For Auction Threory Third Edition by Alexey KUshnur and Jun Xiao Pass With Good Grade A+

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Solution Manual For Auction Threory Third Edition by Alexey KUshnur and Jun Xiao Pass With Good Grade A+Solution Manual For Auction Threory Third Edition by Alexey KUshnur and Jun Xiao Pass With Good Grade A+

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Solution Manual For Auction Threory by Alexey KUshnur and
Jun Xiao Pass With Good Grade A+
SolutionsManual for AUCTI fd fd fd




ON THEORY* fd




Alexey Kushnir and Jun Xiao fd fd fd fd




August 2009 fd




Contents
2 Private Value Auctions: A First Look ....................................................................... 2
fd fd f d fd fd



3 The Revenue Equivalence Principle ............................................................................. 8
fd fd fd



4 Qualifications and Extensions ..................................................................................... 11
fd fd



5 Mechanism Design....................................................................................................... 17
fd



6 Auctions with Interdependent Values........................................................................ 25
fd fd fd



8 Asymmetries and Other Complications .................................................................... 34
fd fd fd



9 Efficiency and the English Auction........................................................................... 40
fd fd fd fd



10 Mechanism Design with Interdependent Values ....................................................... 43
fd fd fd fd



11 Bidding Rings...............................................................................................................48
fd



13 Equilibrium and Efficiency with Private Values....................................................... 52
fd fd fd fd fd fd



15 Sequential Sales ........................................................................................................... 55
fd



16 Nonidential Objects .................................................................................................... 60
fd



17 Packages and Positions ............................................................................................... 62
fd fd




f d V. Krishna, Auction fheory (2nd. Ed.), Elsevier, 2009.
fd fd f d f d f d fd fd


1

,2 Private Value Auctions: A First Look fd fd fd fd fd




Problem 2.1 (Pomer distribution) Suppose there are tmo bidders mith private values t
fd fd fd fd fd fd fd fd fd fd fd fd



hat are distributed independently according to the distribution F (x) = xa over [0, 1] m
fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd



here a > 0. Find symmetric equilibrium bidding strategies in a first−price auction.
fd fd fd fd fd fd fd fd fd fd fd fd




Solution. Since N = 2, G(x) = F (x) = xa. Thus, using the formula on page 16 of t
f d fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd



he text, fd



∫ ∫ x a
β I (x) = x — x G (y)dy = x — ya dy = a x
f d f d
f d f d
fd f df d f d


O G(x) O x 1 +a
fd fd fd fd fd fd fd
fd
fd fd fd fd




Problem 2.2 (Pareto distribution) Suppose there are tmo bidders mith private values t
fd f d fd fd fd fd fd fd fd fd fd fd



hat are distributed independently according to a Pareto distribution F (x) = 1 —
fd fd fd fd fd fd fd fd fd fd fd fd fd



(x + 1)—
fd fd fd


2 over [0, ∞). Find symmetric equilibrium bidding strategies in a first−price auction.
fd fd fd fd fd fd fd fd fd fd fd fd fd



Shom by direct computation that the expected revenues in a first− and second− price auc
fd fd fd fd fd fd fd fd fd fd fd fd fd fd



tion are the same. fd fd fd




Solution. Again, since N = 2, G (x) = F (x) = 1 — (x + 1)—2. Thus,
fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd




∫ xf d Gfd(y)
I
β (x) = x— dy
Of d f d Gfd(x)
f d f d f d f d f d fd




∫ xf d 1 —2
— (y + 1)
x—
fd fd


= f d f d fd
dy
x
O 1 — (x + 1)—2
fd fd fd fd fd



=
x+2 fd fd




In the first-price auction, the expected revenue of the seller is
fd fd fd fd fd fd fd fd fd fd




E RI 2E mI (x)
fd fd fd fd

f d = f d f d f d fd


f d fd


= 2E∫ G
∞
f (x) × βI (x)
d fd fd fd fd

x
f d
fd fd



= 2 1 — (x + 1)—2
f d f d fd fd fd fd fd 2 (x + 1)—3 dx
fd fd fd fd




O x+2 fd fd



= f d f d 1/3

Let Y2 be the second highest value, and its density is ƒ2 (y) = 2 (1 — F (y)) g (y)
fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd



(see Appendix C). fd fd



In a second-price auction, the expected revenue of the seller is
fd fd fd fd fd fd fd fd fd fd




f d f d f d


E RII = E [Y2] f d f d fd


∫ ∞ fd
fd


= y2 (y + 1)—2 2 (y + 1)—3 dy
f d fd fd fd fd fd fd fd fd

O
= f d f d 1/3

Therefore, the expected revenues in the two auctions are the same.
fd fd fd fd fd fd fd fd fd fd fd




2

,Problem 2.3 (Stochastic dominance) Gonsider an N −bidder first−price auction mith i
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ndependent private values. Get β be the symmetric equilibrium bidding strategy mhen
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mhich each bidder’s value is distributed according to F on [0, c] . Similarly, let β∗ be th
fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd



e equilibrium strategy mhen each bidder’s value distribution is F∗ on [0, c∗] .
fd fd fd fd fd fd fd fd fd fd fd fd fd fd



a· Shom that if F∗ dominates F in termsof the reverse hazard rate (see Appendix
fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd



B for a definition) then for all x ∈ [0, c] , β∗(x) ≥ β (x) .
b· By considering F (x) = 3x — x2 on [0, 1(3 — √ 5)] and F∗ (x) = 3x — 2x2 on
fd fd fd fd fd fd fd fd fd fd fd f d fd fd fd fd fd

f d fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd



∗ 2
0, 21 , shom that the condition that F first−order stochastically dominates F is not
fd

fd fd fd fd fd fd fd fd fd fd fd fd



sufficient to guarantee that β∗(x) ≥ β(x) . fd fd fd fd fd fd fd fd fd




Solution. Part a. Because G (x) = F (x)N—1 and g (x) = (N — 1) F (x)N—
f d fd f d fd fd fd fd fd fd fd fd fd fd fd fd fd fd


2 ƒ (x) , the symmetric equilibrium in Proposition 2.2 could be rewritten as follows
fd fd fd fd fd fd fd fd fd fd fd fd fd fd



∫ x f d

1
β (x) = yg (y) dy
f d f d f d f d fd




G (x)
fd fd fd fd fd


O
∫ x
fd
f d


1
= y (N — 1) F (x)N—2 ƒ (x) dy fd fd fd fd fd fd fd


[F (x)]N—
∫
f d


1 f d f d O
x ƒ (y)
= (N — 1) y dy
fd




F (y)
fdfd fd fd


O
∫
fd


x
= (N — 1) fdfd fd fd yσ (y) dy fd fd


O

where σ (x) is the reverse hazard rate. Similarly, we have
fd fd fd fd fd fd fd fd fd fd




∫ x
β∗ (x) = (N — 1) fd fd fd fd fd yσ∗ (y) dy fd


O

So it is easy to see that if F∗ dominates F in terms of reverse hazard rate, then
fd fd fd fd fd fd fd fd fd f d fd f d fd fd fd fd fd f d




σ∗ (y) ≥ σ (y) for all y ∈ [0, c] . Therefore β∗ (x) ≥ β (x) for all x ∈ [0, c].
fd fd fd fd fd fd fd fd fd fd fd f d fd fd fd fd fd fd fd fd fd fd fd




Part b. Obviously, F ∗ (x) F (x),
≤ so F ∗ stochastically dominates F . The distrib
fd f d fd fd fd f d fd fd fd fd fd fd fd fd f d fd



utions F and F ∗ are illustrated in Figure S2.1, where the solid line represents F and t
fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd f d fd



he dashed line represents F∗.
fd fd fd fd fd




3

, 1.0

0.9

0.8

0.7

0.6

0.5

0.4

0.3

0.2

0.1

0.0
0.0 0.1 0.2 0.3 0.4 0.5
x
Figure S2.1 fd




Suppose there are two bidders, thenfd fd fd fd fd




∫ xf d Gfd(y)
β (x) = x— dy
Of d f d Gfd(x)
fd f d f d f d f d fd




∫ xf d 3y y2
—
= f d f d x—
dy fd


O 3x — x2 fd fd
fd




1 2x — 9
x
fd fd fd

=
6 x—3
fd

fd fd
f d f d


for x ∈ 0, 1 3 —
fd fd fd fd




√ f d f d
2
fd5 . Similarly,
fd




xfd3y
β∗ (x) fd f d f d = f d f d x ∫ fd
— 2y2 f d

dy
— O 3x — 2x2 fd fd
fd



x
1
= (8x — 9)
6 2x — 3
fd fd

fd fd fd fd


f d √ f d f d


for x ∈ 0,21 . It is easy to see that β∗ (x) < β (x) for x ∈ (0, 1 2 3 — 5 ]. The bidding
f d


fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd




strategies β and β∗ are plotted in Figure S2.2, where β is the solid line and β∗ is the d
fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd



ashed line. fd




4

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