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TRANSCRIPT
Static Oligopoly Models
Industrial Organization (UG)
Li Zhao, SJTU
Fall, 2016
Outline
Game Theory
Quantity Competition
Price Competition
Paper - Scissors - Rock
Key Elements of Games
I Players: You and I.
I Rules: Simultaneous move, information available at eachmove.
I Actions: {P , S ,R} × {P , S ,R}.I Payo�: R
beats→ S , Sbeats→ P and P
beats→ R .
You \ I P S RP (0,0) (0,1) (1,0)S (1,0) (0,0) (0,1)R (0,1) (1,0) (0,0)
Why Game Theory?
I Game theory is the study of strategic decision making.
I Most industries are dominated by not one, but a smallnumber of relative large �rms.
I These decisions should incorporate strategic reasoning,because payo�s between �rms are interdependent.
I For example, when Coca-Cola raises price, what shouldPepsi response?
I We will not only discuss price competition, but alsostrategic decision on quantity, capacity, product variety,and many others.
Types of Games
I Cooperative and non-cooperative game.
I The timing of moves: Static / dynamic game.
I Uncertainty about the payo�s of rivals: Complete /incomplete information game.
I In this class we will discuss:I Static game with complete info (this class),I Dynamic game with complete info (after 10/1),I Static game with incomplete info (auction).
Static Games of Complete Information
I There are i = 1, 2, ...N �rms in the market.
I Let ai be a strategy of �rm i .
I It could be price (Bertrand), quantity (Cournot), producttype, entry, location, etc.
I Let πi(ai , a−i) be the payo�s of �rm i as function of i 'sstrategy ai and the strategy a−i of all the other players.
I A Nash equilibrium a∗1, ..., a∗N is a collection of strategies
that are maximizing, holding the strategies of the otheragents �xed
a∗i maximizes πi(ai , a∗−i).
Dominant Strategy
I A strictly dominant strategy for player i is one whichmaximizes player i 's payo� regardless of the strategieschosen by i 's rivals.
I Formally, ai is a strictly dominant strategy for player i iffor all a′i ∈ Ai and a−i ∈ A−i .
πi(ai , a−i) > πi(a′i , a−i).
Example of Dominant Strategy
I Consider the case of two airlines, China Eastern Airlineand Tibet Airline, both o�er a daily �ight from Shanghaito Lhasa.
I 70 percent of the potential clientele for the �ight wouldprefer to leave Shanghai in the afternoon.
TVMorning Afternoon
MUMorning (15,15) (30,70)Afternoon (70,30) (35,35)
I This game has a dominated strategy.
Example of Dominant Stategy
C1 C2 C3R1 (4,3) (5,1) (6,4)R2 (2,1) (3,4) (3,6)R3 (3,0) (4,6) (2,8)
I R1 is a dominant strategy for play 1.
I C3 is a dominant strategy for play 2.
Best Response
I The strategy ai is a best response for player i to a−i if
πi(ai , a−i) ≥ πi(a′i , a−i),
for all a′i ∈ Ai .
I Or equivalently, we say ai is a best response for player ito a−i if
ai maximizes πi(a′
i , a−i),
for all a′i ∈ Ai .
I We will denote best response as ai = BRi(a−i).
I Example, BRi(Rockj) = Paper , BRi(Paperj) = Scissors.
Nash EquilibriumI Nash equilibrium is the most common equilibrium conceptused in industrial organization and we will make extensiveuse of it.
I A Nash equilibrium is a strategy pro�le such that everyplayer's strategy is a best response to the strategies of allthe other players.
I The strategy pro�le a∗ to be a Nash equilibrium if
a∗i = BRi(a∗−i).
I From the de�nition of a best response,a∗ to be a Nashequilibrium if
a∗i maximizes πi(ai , a∗−i)
for all ai ∈ Ai .I There is a notion called �mixed strategy� which we don'tconsider for now.
Nash Equilibrium - Example
I The prisoner's dilemma is a standard example of a gameanalyzed in game theory that shows why two completely"rational" individuals might not cooperate, even if itappears that it is in their best interests to do so.
I Let's look at its payo� function
Prisoner A \ B Deny ConfessDeny (-1,-1) (-3,0)Confess (0,3) (-2,-2)
.
I How to we �nd Nash Equilibrium?I We �nd BR1(a2) and BR2(a1) for each a1 ∈ A1 and
a2 ∈ A2.I Then we collect (a1, a2) such that a1 = BR1(a2) and
a2 = BR2(a1).
Nash Equilibrium - Example
I Consider the case of two airlines, China Eastern Airlineand Tibet Airline, but with di�erent payo� matrix:
TVMorning Afternoon
MUMorning (25,25) (50,50)Afternoon (50,50) (25,25)
.
I Can you solve the Nash Equilibrium of the model?
I Is Nash equilibrium a reasonable assumption?
Outline
Game Theory
Quantity Competition
Price Competition
Quantity Competition
I There are i = 1, 2, ...N �rms in the market.
I Let ai be a strategy of �rm i ., say quantity.
I Let πi(ai , a−i) be the payo�s of �rm i as function of i 'sstrategy ai and the strategy a−i of all the other players.
I Pro�t πi (qi ; qj) = P(qi , q−i ) ∗ qi − C (qi ).
I A Nash equilibrium a∗1, ..., a∗N is a collection of strategies
that are maximizing, holding the strategies of the otheragents �xed
a∗i maximizes πi(ai , a∗−i).
I We look for q∗such that q∗i maximizes πi (qi , q∗−i ), or
equivalently, we look for q∗i = BRi (q∗−i ).
Cournot Quantity-Setting Model
I In the Cournot model, N �rms compete by producing ahomogenous good.
I The strategy of each �rm is qi the amount of good i toproduce.
I Let the market quantity Q be denoted by:Q = q1 + q2 + ...qN .
I Let P(Q) denote the inverse demand function. AssumeP = a − bQ.
I For simplicity, assume constant marginal cost c .
Cournot - Residual Demand
I It is useful to talk about the "residual demand curve".
I When i solves her maximization problem, she takes Q∗−ias given, where
Q∗−i = q∗1 + ...+ q∗i−1 + q∗i+1 + ...+ q∗N .
I A Nash equilibrium is a vector of quantities q∗1 , ...q∗N such
that:
q∗i maximizes πi(qi ,Q∗−i) = (P(qi + Q∗−i)− c)qi .
2-Firm Cournot Competition - Best Response
π1(q1; q2) = (a − b(q1 + q2)− c1)q1;
π2(q2; q1) = (a − b(q1 + q2)− c2)q2;
I To maximize �rms' pro�ts, we take FOC
d
dq1(π1(q1; q2)) = −bq1 + (a − b(q1 + q2)− c1) = 0 :
d
dq2(π2(q2; q1)) = −bq2 + (a − b(q1 + q2)− c2) = 0 :
I Two best response functions are
q1 = BR1(q2) =a − bq2 − c1
2b,
q2 = BR2(q1) =a − bq1 − c2
2b.
Quantity: Strategic Substitutes
Nash Equilibrium
I Firms' best responses are
q1 = BR1(q2) =a − bq2 − c1
2b,
q2 = BR2(q1) =a − bq1 − c2
2b.
I We get qi =a+cj−2ci
3b. For symmetric cost, we get
q1 = q2 =a−c3b
.
I P? CS? Pro�t?
I Compare with Monopoly and Perfect Competition?
Cournot - N Firms
I We look for symmetric equilibrium thereforeQ∗−i = (n − 1)q∗and q = q∗i .
I We then get qCournot = a−c(n+1)b and QCournot = (a−c)
bn
n+1.
I Pro�t for individual �rm πCournoti = (a−c)2(n+1)2b
.
I Equilibrium price is pCournot = a+ncn+1
.
I When N goes up ....Think about S-C-P.
E�ect of N on Prices
source: Church textbook, table 8.1 on page 244.
Cournot - Market Power
πi(qi ,Q∗−i) = (P(qi + Q∗−i)− ci)qi .
I First order condition
d
dqi(πi(qi ,Q
∗−i)) =
dP
dQqi + (P − ci) = 0.
I Cournot markup (or Lerner Index) is
P − ciP
= − 1dQdP
PQ
qiQ
=siε.
I Lerner index is proportional to the �rm's market shareand inversely proportional to the elasticity of demand.
I Irrelevant to functional form of demand curve.
Entry - Number of Firms in Market
I So far we treat number of �rms �xed, as we assume no�xed cost.
I If we have �xed cost FC > 0, how many �rms will be inthe market?
I Previous we talked about
Rev − VC =(a − c)2
(n + 1)2b,
which is decreasing in N .
I A �rm will enter as long as FC < (a−c)2(n+1)2b
.
I The number of �rms in the market is [ a−c√b·FC − 1].
Entry - Comparative Statics
I N ' a−c√b·FC − 1.
I High demand?
I High marginal cost?
I Steeper demand (more inelastic demand)?
I High �xed cost?
I Ine�ciency of entry.
Outline
Game Theory
Quantity Competition
Price Competition
Bertrand Price-Setting Model
I In the short run, changing prices is much easier thanchanging quantities.
I Two identical �rms, homogeneous products. Firm 1 setsp1, �rm 2 sets p2.
I Firm 1's pro�t is
π1 =
(p1 − c)( a
b− 1
bp1) if p1 < p2
1
2(p1 − c)( a
b− 1
bp1) if p1 = p2
0 if p1>p2
.
I Firm 1's best response:
BR1(p2) =
{p2 − ε if p2 − ε > cc otherwise
.
I �Bertrand Paradox�, the unique equilibrium is pBertrand
= c .
Di�erentiated Good
I Now two goods, e.g. �rm 1 produces blue jeans and �rm2 produces black jeans.
I Demands for these two goods are
q1 = a − bp1 + dp2;
q2 = a − bp2 + dp1.
I Assume b > d , demand more responsive to own-price.
I Assume zero marginal cost (for simplicity).
Bertrand with Di�erentiated Products (1)
I Firm 1 maximizes
maxp1
π1 = p1(a − b · p1 + d · p2).
I Firm 2 maximizes
maxp2
π2 = p2(a − b · p2 + d · p1).
I Therefore BR1(p2) =a+d ·p2
2band BR2(p1) =
a+d ·p12b
.
I Strategic complements.
Strategic Complements
Bertrand with Di�erentiated Products (2)
The Model
q1 = a − b · p1 + d · p2;q2 = a − b · p2 + d · p1.
Best Response BRi(pj) =a+d ·pj2b
Equil. Price p = a2b−d
Equil. Quantity qi =ab
2b−dEquil. Pro�t πi =
a2b(2b−d)2
Summary
I We discussed game-theoretic approach in oligopolymodels.
I Nash equilibrium:
I A strategy prole in which each player's NE strategy is abest-response to opponents' best-response strategies2-player case:
I a1 = BR1(a2); a2 = BR2(a1).
I We looked at quantity (Cournot) competition and price(Bertrand) competition.
I All models we discussed so far are static completeinformation game.
I The game is complete because rival's costs are known.I We will look at dynamic game in later.