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Lectures 20-23 Dynamic Games with Incomplete Information 14.12 Game Theory Muhamet Yildiz 1


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SLIDE 1

1

Lectures 20-23 Dynamic Games with Incomplete Information

  • 14.12 Game Theory ••••
  • Muhamet Yildiz ••••
slide-2
SLIDE 2

2

  • Road Map
  • 1.

Sequential Rationality

2.

Sequential Equilibrium

3.

Economic Applications

1.

Sequential Bargaining with incomplete information

2.

Reputation

slide-3
SLIDE 3

3

What is wrong with this

  • equilibrium?
  • • •

x

(2,6) T B

L R

L

R

(0,1) (3,2)

(-1 ,3) (1,5)

slide-4
SLIDE 4

4

  • Beliefs
  • • •

x

  • Beliefs of an agent at a

.--- (2,6)

given information set is a probability distribution on the information set.

  • For each information set, we

must specify the beliefs of 2 /

. _~

__ ._

.

___

. _l~_

the agent who moves at that information set. L / R L R (0,1) (3,2)

(-1,3) (1 ,5)

slide-5
SLIDE 5

5

  • Assessment
  • • •
  • An assessment is a pair (0,1-1) where
  • a is a strategy profile and
  • 1.1 is a belief system: 1.1(,1/) is a probability

distribution on 1 for each information set I.

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SLIDE 6

6

  • Sequential Rationality
  • • •
  • An assessment (0,1J) is sequentially rational if

0i is a best reply to O_i given IJ(.I/)

for each player i, at each information set 1 player i moves .

  • That is, 0i maximizes his expected payoff

given IJ(.I/) and given others stick to to their strategies in the continuation game.

slide-7
SLIDE 7

x

(2,6) B

2

I-f.!

L " R L

' R

(0,1) (3,2) (-1,3)

(1,5)

7

Sequential Rationality implies

  • • •
slide-8
SLIDE 8

L

(0,10) (3,2) (-1,3) R

(1,5)

8

Example

  • • •
slide-9
SLIDE 9

9

  • Consistency
  • • •

(a,lJ) is consistent ifthere is a sequence m

(am,lJ ) -

(a,lJ) where

  • am is "completely mixed" and
  • IJm is computed from am by Bayes rule
slide-10
SLIDE 10

1 T

1

L R

(0,10) (3,2) B

L (-1,3) R (1,5)

10

Example

  • • •
slide-11
SLIDE 11

11

Example

1

2 ~

1

  • /

B

0.9

3 0.1 L f .-.-.-~.-.-.-.-.~-.-

?

1 2 1

3 3 3

  • 1

2

2

  • 1

1 R

  • • •
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SLIDE 12

12

  • Sequential Equilibrium
  • • •
  • An assessment: (0,1J) where °

is a strategy profile and IJ is a belief system, lJ(h)E~(h) for each h.

  • An assessment (0,1J) is sequentially rational if at

each hj, OJ is a best reply to O_j given lJ(h). m

  • (0,1J) is consistent if there is a sequence (om,lJ )

~(0,1J)

where om is "completely mixed" and IJm is computed from om by Bayes rule

  • An assessment (0,1J) is a sequential equilibrium

if it is sequentially rational and consistent.

slide-13
SLIDE 13

L 1 2 T

3 3 3

2~

  • 1

2

B

2

  • 1

1 R 13

Example

1 1

  • • •
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SLIDE 14

14

  • Beer - Quiche
  • • •

1

:-:...

1

('/

beer quiche

~c

2

,\ i

{. 1

}

dOl} 't

3

C.o~

,

tw

1

~('/

ts

~

OV

beer {.9} quiche 3 ,\

dOl} 't

2

1

C.o~

1

I)

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SLIDE 15

15

  • Beer - Quiche, An equilibrium
  • • •

1

:-:.,

1

('/

beer quiche

~c

2

,\ i .1

{. 1

}

1

dOl} 't

3

C.o~

.

tw

1

~('/

ts

~

OV

.9 beer {.9} quiche 3 ,\

dOl} 't

2

1

C.o~

1

I)

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SLIDE 16

1 1

0,,('/

:-:..

1

beer quiche

~c

2

, \

1

{. 1

}

3

C.o~

tw

1

ts

  • beer {.9}

quiche 3 ,\

dOl} 't

2

1

C.o~

1

16

  • Beer - Quiche, Another equilibriu
slide-17
SLIDE 17

17

  • Beer - Quiche, revised
  • • •
  • 2

1

:-:...

1

('/

beer quiche

~c
  • ,\ i

{. 1

}

dOl} 't

3

C.o~

,

tw

1

~('/

ts

~

OV

beer {.9} quiche 3 ,\

dOl} 't

2 1

C.o~

1

I)

slide-18
SLIDE 18

18

  • Beer - Quiche, Revised
  • • •
  • 2

1

:-:.,

1

('/

beer quiche

~c
  • ,\ i 0

{. 1

}

1

dOl} 't

3

C.o~

,

tw

1

~('/

ts

~

OV

1 beer {.9} quiche 3 ,\

dOl} 't

2 1

C.o~

1

I)

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SLIDE 19

19

  • Beer - Quiche in weakland
  • • •

1

:-:...

1

('/

beer quiche

~c

2

,\ i

{.8}

dOl} 't

3

C.o~

,

tw

1

~('/

ts

~

OV

beer {.2} quiche 3 ,\

dOl} 't

2

1

C.o~

1

I)

slide-20
SLIDE 20

20

  • Beer - Quiche in weakland
  • Unique PBE
  • • •

1

I~

:-:...

1

.5

('/ beer quiche

~c

2 .5 ,\ i .5

114 {.8}

3/4

dOl} 't

3

C.o~

,

tw

1

. 5~('/

ts

~

OV

.5 beer {.2} quiche 0

3

.5 2 ,\

dOl} 't

1

C.o~

1

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SLIDE 21

21

.9

1

.1

(4,4)

\ \ \ \ \ \ \ \ \

(5,2) '.

\

2 '.

(1 ,-5)

(3,3) 1

  • r----+------,----- (0,-5)

(-1,4 ) (0,2) (-1,3 )

Example

2

  • • •
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SLIDE 22

22

.9

  • • •

1 a=7/9 2 P=1/2

;or-=-:~-.-.-~

(1 ,-5)

  • \

'. f.l=7/8

\ \ \ \ \ \

(4,4) (5,2) '. (3,3)

.1

\

2 '. 1 (0,-5) (-1,4 ) (0,2) (-1,3 )

Example - solved

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SLIDE 23

23

Sequential Bargaining

  • • •

1.

1-period bargaining - 2 types

2.

2-period bargaining - 2 types

3.

1-period bargaining - continuum

4.

2-period bargaining - continuum

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SLIDE 24

P 2-p

s

H

  • p
  • I-p

L

  • 24
  • A seller S with valuation 0
  • A buyer B with valuation v;
  • B knows v, S does not
  • v = 2 with probability TC
  • = 1 with probability 1-TC
  • S sets a price p ~

0;

  • B either
  • buys, yielding (p,v-p)
  • or does not, yielding (0,0).
  • Sequential bargaining 1-p
  • • •
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SLIDE 25

25

Solution

1.

B buys iff v > p;

1.

If P

::;; 1, both types buy:

S gets p.

2.

If 1 < P ::;; 2, only H-type

  • • •

1 ------------------ ---------- ------+-----. 1 2

p

buys: S gets np.

3.

If P > 2, no one buys.

2.

S offers

  • 1 if 1C < ~,
  • 2 if 1C > ~

.

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SLIDE 26

26

  • Sequential bargaining 2-perio( •••••
  • 1. At t = 0, S sets a ~ rice

0;

  • A seller S with valuation

Po

~ 2.

B either

  • A buyer B with valuation
  • buys, yielding (Po,v-Po)

v, '

  • r does not, then
  • B knows v, S does not

3.

At t = 1, S sets another

  • v =

2 with probability 1l

price P1 ~ 0;

  • =

1 with probability 1-1l

4.

B either

  • buys, yielding (i:ipj,i:i(V-P1

))

  • r does not, yielding (0,0)
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SLIDE 27

27

  • Solution, 2-period
  • • •

1.

Let J.l = Pr(v = 21history at t=1).

2.

At t = 1, buy iff v ;::: P;

3.

If J.l > Yz, P1 = 2

4.

If J.l < Yz, P1 = 1.

5.

If J.l = Yz, mix between 1 and 2.

6.

B with v=1 buys at t=O if Po < 1.

7.

If Po > 1, J.l = Pr(v = 21 Po,t= 1) ::; n.

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SLIDE 28

28

  • Solution, cont. 1t <1/2
  • • •

I. f..t = Pr(v = 2IPo,t=1) < n <1/2.

2.

Att = 1, buy iff v ~

P;

3.

P1 =

1.

4.

B with v=2 buys at t=O if (2-po) > 0(2-1) = 0 ~

Po ::; 2-0.

5.

Po = 1:

n(2-0) + (l-n)o = 2n(1-0) + 0 < 1-0+0 = 1.

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SLIDE 29

29

  • Solution, cont. 1t >1/2
  • • •
  • If v=2 is buying at Po > 2-0, then
  • Il = Pr(v = 21Po > 2-8,t=1) = 0;
  • P1 = 1;
  • v = 2 should not buy at Po > 2-8.
  • If v=2 is not buying at 2> Po > 2-0, then
  • Il = Pr(v = 21Po > 2-8,t=1) = 11: > 112;
  • P1 = 2;
  • v = 2 should buy at 2 > Po > 2-8.
  • No pure-strategy equilibrium.
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SLIDE 30

30

  • Mixed-strategy equilibrium, 1t > 12

1.

For Po > 2-0, f.l(Po) = %;

2.

~(Po)

= 1- Pr(v=2 buys at Po)

j3(po)Jr 1

1- Jr

f.1 =

= -

<;::> j3(Po)Jr = 1-Jr <;::> j3(po) =-.

j3(Po)Jr+(1-Jr)

2

Jr 3. V = 2 is indifferent towards buying at Po:

2- Po = OY(Po) ¢:> Y(Po) = (2- Po)/o

where Y(Po) = Pr(P1=1Ipo)·

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SLIDE 31

31

  • Sequential bargaining 1-period ••••
  • • •
  • A seller S with valuation 0
  • A buyer B with valuation v;
  • B knows v, S does not
  • v is uniformly distributed on [0,1]
  • S sets a price p 2 0;
  • B either
  • buys, yielding (p,v-p)
  • or does not, yielding (0,0).
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SLIDE 32

32

  • • •

Sequential bargaining, v in [O,a]

  • 1 period:
  • B buys at p iff v ~

p;

  • S gets U(p) = p Pr(v ~

p);

  • v in [O,a] => U(p) = p(a-p)/a;
  • p = a/2.
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SLIDE 33

33

  • Sequential bargaining 2-
  • periods
  • • •

If B does not buy at t = 0, then at t=1

  • S sets a price P1 ~

0;

  • B either
  • buys, yielding (8P1' 8(V-P1))
  • or does not, yielding (0,0).
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SLIDE 34

34

  • Sequential bargaining, v in [0,1] •••••
  • • •
  • 2 periods: (Pa'P1)
  • At t = 0, B buys at Po iff v ~

a(po);

  • P1 = a(po)/2;
  • Type a(po) is indifferent:

a(po) - Po = 8(a(po) - P1 ) = 8a(po)/2

~

a(po) = Po/(1-8/2) S gets

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SLIDE 35

MIT OpenCourseWare http://ocw.mit.edu

14.12 Economic Applications of Game Theory

Fall 2012 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms.