2.2 Priing Internet aess in the presene of user loyalty
2.2.3 Inentive to ooperate
Herewepresentasingle-shotgameofuserloyaltywhihwasintroduedin[11℄. Later,weextend
thisgametoaninnitelyrepeatedgame,andshowhowaooperativemaximumanbeenfored,
where the long-term prot of ISPs are higher than that of playing the equilibrium strategy of
thestage gamein eah round.
The stage game
Consider a market with two loal ISPs ompeting in pries for a xed number of ustomers.
Customers aresplit into three partitionsupon their brand loyalty: the rst group onsistsof
l 1
ustomerswho areallloyal to ISP
1
inthe sense thatifISP1
'spriep 1
islessthan or equal toareservationvalue
α
, they hoose ISP1
astheir servieprovider, otherwisethey do not purhaseInternet aess. The seond grouponsists of
l 2
loyalustomers of ISP2
,while the third groupontains
n
swithers,whobuyserviefromtheheapestprovider,ifitsprieisnotgreaterthanα
. Ifthe providersannoune thesame prie(p 1 = p 2 < α)
,thenhalfof theswithers hoosesISP
1
and the other half hooses ISP2
. The ow of thegame is that ISPs announe their priessimultaneously,thenustomersmaketheir hoies. Thisgameisreferred toas
G 0
.Note, that though values
l 1 > 0
,l 2 > 0
andα > 0
are ommon knowledge, groupmem-bership of a given ustomer annot bedetermined, so there is no prie disrimination possible.
Furthermore, forsimpliitywe assumeaonstant unitostofzeroforbothrms,and thatISP
1
hasthelargerloyal userbase,
l 1 > l 2
.Given the above andthat
p 1 ≤ α
andp 2 ≤ α
,ISP1
's payoan beexpressedasπ 1 (p 1 , p 2 ) =
(l 1 + n)p 1 p 1 < p 2 (l 1 + 0.5n)p 1 p 1 = p 2
l 1 p 1 p 1 > p 2
(2.1)
Itanbeshown(see[11℄and[12℄)thatthisgamehasauniqueNashequilibriuminmixed
strate-gies. In this ase, equilibrium prots are
π 1 = l 1 α
andπ 2 = l l 2 1 +n +n l 1 α.
Asit an be notied, theequilibriumhasshiftedompared tothe simpleBertrandgamewithoutonsumerloyalty(whih
is (0,0)inase ofzero produtionosts), both partieshaving apositivepayoinequilibrium.
The repeated game
Now, we extend the previous model, and show that the innitely repeated
G 0
hasa sub-gameperfet equilibrium, whih an be enfored by a threat strategy, namely the Nash equilibrium
strategy of the stagegame
G 0
.In the following we onstrut
G r
as the innitely repeated extension ofG 0
. Payo isdis-ounted at step
k
with a disount fatorΘ < 1
. The game is ontinuous at innity sine thedisountedpayoinanystepisboundedby
α(l 1 +n)
. Thiswayweanusetheone-stepdeviationpriniple to prove sub-gameperfetionof agiven strategy set.
Now,ifthetwoprovidersooperateandsettheirpriesequaltothereservationvalue
α
,theywillshare"swithers"equally,inadditiontokeepingtheirownloyalusers. Thiswaytheirpayos
(
π
oop)wouldbehigherthanintheequilibriumase(π
eq),sineπ 1
oop= (l 1 +0.5n)α > π 1
eq= l 1 α
,and
π
oop2 = (l 2 + 0.5n)α > π 2
eq= l l 2 +n
1 +n l 1 α
ifn > l 1 − 2l 2
. Intheooperativeasethejoint protof thetwo ISPsis themaximumahievable
(n + l 1 + l 2 )α
. This ooperation is highlybeneialfor both parties. Ifsomehow one ISPtries to grab thewholefree marketina singlestep
k
,theotherISPan ounterat fromstep
k + 1
byhargingtheNashequilibriumpriefromG 0
furtheron,whihresults ina dereasedpayofor thetraitor. We showthatthisNashreversionassures
sub-game perfetion forthe following strategy prole under thestated onditions.
Proposition 1 The strategy prole Cooperate until the other player deviates and then play
aordingto theequilibrium in
G 0
isa sub-gameperfet Nash equilibrium for therepeated gameG r
, ifn > l 1 − 2l 2
andΘ > 1 2 + l 1 −
n+l 1 n+l 2 l 2
2n
.Proof: A strategy prole issub-gameperfet,ifthefollowing holds:
π i
nodev(k, ∞ ) > π i
dev(k) + π i
dev(k + 1, ∞ ),
(2.2)meaning that the sum prot is greater if there is no deviation from theagreed strategy. If we
assumethat ISP
2
deviates, thistranslates toX ∞
i=k
Θ i π
oop2 > Θ k π 2
dev+ X ∞
i=k+1
Θ i π 2
eq.
(2.3)After solving (2.3)for
Θ
wegetΘ > π
dev2 − π
oop2
π 2
dev− π 2
eq.
(2.4)The one-stepdeviation at step
k
isrealized by underuttingtheother ISPbya marginalǫ > 0
,and harging a prie of
α − ǫ
to the users. This wayπ
dev2 = (l 2 + n)(α − ǫ)
. Further on, wesubstitutedierent payos for ISP
2
,andsimplify the expression:Θ 2 > 1
2 + l 1 − n+l n+l 1 2 l 2
2n .
(2.5)If ISP
1
deviates, by following the same steps we getΘ 1 > 1 2
. Sinel 1 > l 2
by denition, alsoΘ 2 > Θ 1
,soiftheatualΘ > 1 2 + l 1 −
n+l 1 n+l 2 l 2
2n
,the proposition holds.The optimal deision of ISPs lies in evaluating the assumption inequalities. For Player 1
(larger loyal userbase) it isalways better to ooperateand try to ahieve sub-game perfetion.
For Player 2it is a matterof loyal user basesize: if
n > l 1 − 2l 2
, Player 2will alsoooperate.If not, thenshe will play the
G 0
equilibrium strategy,while Player 1 will play theooperative strategy for one round. Then from round 2(beause of Nash reversion), player 1 will also playthe
G 0
equilibriumstrategy.While expliit ooperation may be illegal, this inentive may lead to disussions between
servie providers. Note, that a two-ISP setting may seem artiial, it is ertainly not, e.g., a
large fration of Internet users in the US an only hoose between the loal able and phone
ompany. Moreover, there is some speulation about a artel-like ooperation among large
players in the US Internet market [43℄. Wu mentions that in the United States and in most
of the world, a monopoly or duopoly ontrols the pipes that supply homes with information.
These ompanies, primarily phone and able ompanies, have a natural interest in ontrolling
supply to maintain prie levels and extrat maximum prot from their investments, similar to
how OPEC sets prodution quotas to guarantee high pries. While this phenomena is rooted
innetneutralityandprotetinginfrastrutural investment,sine itinvolvessettingmanipulated