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The Shapley Value of a Patent Licensing Game:
the Asymptotic Equivalence toNon-cooperative Results
by Yair Tauman and Naoki Watanabe
1 . Introduction
patent licensing games: non-cooperative mechanisms (policies)
upfront fee or royalty by Kamien and Tauman (1984, 1986) Sen (forthcoming in GEB) auction by Katz and Shapiro (1985, 1986)
the innovator has full bargaining power i.e., take-it-or-leave-it offers to potential
licensees
Other Papers
optimal licensing policy Cournot and Bertrand Kamien, Oren and Tauman (1992)
Bertrand with differentiated goods Muto (1993)
optimal combination of licensing policies Sen and Tauman (2002)
Why cooperative approach?
Macho-Stadler et al. (1996) licensing agreements are basically contract terms signed as negotiation results
a role of patent system may be facilitating the resolution of disputes in complicated bargaining procedures over licensing issues
analyze licensing agreements from the cooperative
point of view
a key problem
how to define the worth of a coalition of players
in the presence of strategic interactions? a new characteristic function appropriate for oligopolistic markets
von-Neumann and Morgenstern’s minmax …incredible threat!
the main proposition
(Proposition 4) In increasing the number of firms in the market, the Shapley value of the innovator approximates his payoff in the auction mechanism (even for general demand functions).
quite surprising: (1) the innovator does not have full bargaining power in cooperative games and (2) the Shapley value measures a fair contribution of him to the total industry profit
2. The Characteristic Functions
{ }
{ } coalition : players, ofset : 0=
producer) a(not entity outside 0,player
0>-- and c <<0 where ,-
technology reducing-cost :innovator
∞<< demand,market : )-,0(max=
pricemarket : cost, production :
commodity shomogeneou
firms of ...,,1=set the withindustry Cournot a
00 NSNN
εcaεεcc
acpaQ
pc
nN
⊆∪
→
{ }
SNjSilmnelqlmemqQ
Qap
εcplmemqlmS
neq
lmeq
lm
lN
mS
SSNS
- , ),,(+),(=
and -= where
),+-)(,(=),(Π :profit total the
firm licensee-non eachfor l) (m,
firm licensee eachfor ),( : outcome unique
Cournot la a compete firms +
itwithout firms operate and merge : 0S-0 in firms
tech new with firms operate and merge :0 in firms
.0=0let ,every For
0
∈∈
∪⊆
the minmax approach
)-)(,(=),(Π where
),,(Π||≤≤1
max ||-≤≤1
min=)(
-00 s.t. any for
),(Π||≤≤1
max ||-≤≤1
min=)0(
with 0any for
0
cpmlnelqmlS
mlSSlSnm
Sv
SNNS
lmSSmSnl
Sv
NSS
∈⊆
⊆
Propositions 1 and 2: minmax=maxmin
KS
KSεaSn
Sv
SεaSn
Scaε
KSn
εSncaSSv
nεcaK
≥ || if 0
< || if 2))|S|(n--c-()1+||+(4
1
=)(
1+ |S|n-≥K≥ || if 2))1+|S|(n-+c-()1+||+(4
1
K≥ ||≥K-n if )-(
< || if 2)1+
)1+||-(+-(||=)0(
Then, .2/)1+(≤/)-(=Let
3. The Shapley Value
{ }
{ }[ ]j
vjvn
v
vv
jjjNj
Njjj
jjj
Njj
j
n
player of oncontributi marginal expected the measures
, )( )( ! )1+(
1=)(Sh
,))(Sh(=)(Sh lueShapley va The
in preceding players ofset the : ′ | ′=
. in players of ordering an : ),,,(=
0
0
010
∑ ∪
∈
∈
R
RR
R
PP
RRP
R
-
Proposition 4 : lim Sho(v)=e(a-c)
{ }
)-(})1+||-(4
2)|)S|(n--c-(-2)
2+-
( {1+
1+
1- 1+-=||
} )1+|-(4
2)|)S|(n--c-(a-
)1+|-(4
2)1)+|S|(n-+c-(a{
1+1
+
- =||
)-(1+
1+2)
+1)1+||-(+-
(1- ||
||1+
1=
0=||
)0(-)00( 1+
1=)(0Sh
caεSn
εaεcan
nKnS Sn
εSn
εn
KnKS
caεnn
εSncaKS
Sn
nS
vvn
v
→
∪
∑
∑∑
∑ PPRP
4. The Emptiness of the Core
{ }
lueShapley va the of use thefor
ionjustificatbetter a provides of coreempty The
=)(Core then n, ≥ If : 5 nPropositio
}NS )( ≥ )(:)({=)(Core
} )( ≥ and
)(=)(:{=)(
2
0
0
001+
v
φvK
SvSwvIwv
Njjvw
NvNwwvI
j
n
⊂∀∈
∈ ∀
∈ R
5. Remarks
Kamien (1992) : if n>2K, then the innovator auctions off K licenses and extract the entire industry profit, which is
e(a-c)
This equivalence occurs even with general demand functions that are downward sloping and differentiable in price
Watanabe and Muto (2004, 2005) Imai and Watanabe (2005, forthcoming in JER)