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
fd fd fd fd fd fd fd fd fd fd fd
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
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
fd fd fd fd fd fd fd fd fd fd fd
ndependent private values. Get β be the symmetric equilibrium bidding strategy mhen
fd fd fd fd fd fd fd fd fd fd fd fd
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