Transcript Oligopoly

4. Oligopoly
Topics
• Review of basic models of oligopolistic competition
• How can firms change the rules of game to their advantage?
• How can firms avoid intensive rivalry?
Read
• or review Oligopoly chapter in any modern Micro or IO
textbook to make sure you are comfortable with game
theoretic reasoning and Nash equilibrium
• Europe Economics report
Note: topics following oligopoly (Collusion and Mergers) will
be based on oligopoly theory
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3.1 Cournot or Quantity Competition
• Assumptions
– Market demand: price function of total quantity produced,
p = p(q), eg. p = a - bq
– Assume 2 firms on relevant market denoted by i and j
– Firms produce quantities qi and qj
– Firms have total costs ci(qi,qj)
– No threat of entry
– Profits for firm i = Total Revenue - Total Costs
= pi(qi,qj) = p(qi+qj)qi - ci(qi,qj)
• Note: i's profit depends on what rival j does, unlike in
monopoly or perfect competition
• Firm faces a problem of strategic interaction or plays a game
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• How much will i want to produce?
3.1 Cournot or Quantity Competition
– Depends on how much i expects j to produce, qje
• How much will j want to produce?
– Depends on how much j expects i to produce, qie
• Note, for each qje, there is an optimal output
qi*(qje) = argmax i(qi,qje)
• qi*(qje) is called i’s reaction function
• Compare with monopoly profit max
Problem
• i needs to put himself on j’s position and try to predict how j
will behave
• j needs to put himself on i’s position and try to predict how i
will behave
• i needs to to put himself on j’s position and try to predict
how j will think how i will behave
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• j needs to ... predict how i will think how j will behave
3.1 Cournot or Quantity Competition
• etc. ad inf.
Solution
• Suppose both i and j know p(q), ci(qi,qj), and cj(qj,qi), and
also expect that rival will produce profit-maximizing quantity
qi*(q-ie) = argmax j(qi,q-ie)
• Now i chooses qi* = argmax i(qi,qj*) and j chooses qj* =
argmax j(qj,qi*)
• Each firm chooses its strategy taking rivals equilibrium
strategy as given
• Firm i needs to predict j’s equilibrium production
• To solve, simplify further: ci(qi,qj) = ciqi, ci = constant MC
• Now i = p(qi+qj)qi - cqi
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• Simultaneously but individually
3.1 Cournot or Quantity Competition
max i = p(qi+qj)qi - cqi
max j = p(qi+qj)qi - cqj

di/dqi = q(dp/dqi) + p(qi+qj) - ci = 0
dj/dqj = q(dp/dqj) + p(qi+qj) - cj = 0
 These are familiar 1st order conditions MR - MC = 0
 Compare with monopoly profit max
 Plug in p(qi+qj) = a - b(qi+qj) and solve for qi*(qje) and
qj*(qie), you get reaction fns:
(1)
(2)
qi*(qj) = (a - ci)/2b - qj/2
qj*(qi) = (a - cj)/2b - qi/2
 Solve simultaneously [eg, insert qj*(qi) from (2) into (1)] to
get Cournot-Nash equilibrium quantities
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(3)
(4)
qi* = (a + cj - 2ci)/3b
3.1 Cournot or Quantity Competition
qj* = (a + ci - 2cj)/3b
 Note: Each firms is on her reaction function
 In equil, no firm has incentive to alter her strategy choice
unilaterally
 Insert qi* and qj* to demand fn to get equil price p*, and
then plug these to profit fn to get equilibrium profits
 Note: reaction fns (1) and (2) are downward-sloping:
dqi*(qi)/dqj = -1/2 < 0
• This also applies to more general Cournot games
• If j increases her production (eg, due to reduction in
marginal cost cj), i will want to reduce his output
• Lower action from one firm induces higher reaction from her
rivals
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• Strategies qi are here strategic substitutes
3.1 Cournot or Quantity Competition
• Downward-sloping rfs  strategic substitutes
Properties of Cournot-Nash Equil
• Go back to reaction functions (1) and (2), and rewrite as
(5)
(6)
p(q) - ci = -qi dp/dqi |:p 
Li = si/e,
si = qi/q is i’s market share, q = iq,
Li = (p - ci)/p is firm i’s mark-up or Lerner Index
e = -p(q)/qp’(q) is elasticity of market demand
• (6) is basic Cournot pricing formula
– In Cournot-Nash equilibrium, market share determined by
firm’s relative cost efficiency and demand elasticity
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Competition
• Each 3.1
firm Cournot
has limited or
mktQuantity
power:
– i’s marginal revenue MRi = p + qip’, so
– p - MRi = qip’(q) > 0  MR > M
• Smaller mkt shares s (or more rivals)  smaller mark-up, ie.
competion more vigorous
• Greater demand elasticity  larger mark-up, less competitive
equil
• Mark-up is proportional to firm mkt share
• Mkt shares are directly related to firms cost-efficiency ci
• Less efficient firms are able to survive
– sj > 0 even if cj >> min c
• Average industry-wide mark-up i si (p - ci)/p = MU
• In Cournot-Nash equil, MU = i si2/e = HHI/e, where HHI
is the Herfindahl-Hirschman Index
• Performance negatively related to HHI
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Aside
3.1 Cournot or Quantity Competition
• What if there are more than 2 firms?
– Interpert j as vector of all other firms and proceed as
above
– Each firm takes the actions of other firms as given, and
assumes all firms are maximizing profits
• What if i doesn’t know j’s costs cj(qj,qi) exactly?
– Just assume i is Bayesian decision-maker, who makes
subjective probability assesment for cj(qj,qi), uses
expected costs Eicj(qj,qi), and then proceed as above
• Existence of equil? Uniqueness of equil?
– Not guaranteed for general p(q) and c(.)
– Coordination problem if more than one equil strategy
combination
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3.2 Bertrand or Price Competition
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In reality, firms choose and compete w/ prices
Often prices are easier to adjust than quantities
Who chooses prices in Cournot game?
Cournot unrealistic model?
Naive thought: firms select prices as in (6) above:
pi* st. (pi* - ci)/pi* = si/e?
• Bertrand paradox: No
• Model: identical product, mkt demand q = q(p), eg q = a-bp
• Demand for firm i:
pi > pj  i cannot sell at all, qi = 0
pi = pj  i and j split demand, qi = q(p)/2
pi = pj  i sells total mkt demand, qi = q(p)
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• Note: small change in rival’s price causes huge change in
3.1 Cournot or Quantity Competition
firm’s demand
• Suppose cj = ci = c
• If i charges pi > c, j can increase her profits by undercutting i
slightly
• If i charges pi < c, i is making losses but j can guarantee j =
0 by staying out of mkt
 Only equil price can be pi = pj = c
• Duopoly enough for perfect competition!
• Depends crucially on
– firms able and willing to serve all customers at announced
price
– identical products
– customers have complete information eg on prices
 Then firms have no bargaining power
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Product Differentation and Price Competition
3.1 Cournot or Quantity Competition
• Simple example only
• Products are imperfect substitutes, demands are symmetric
qi = a - fpi + gpj
• Assume constant marginal costs ci
• Product differentation is assumed fact, not designed by firms
– g/f measures degree of product differentation (how?)
• Profit for i here
i = pi qi(pi,pj) - ci(q(pi,pj)) = (pi - ci)(a - fpi + gpj)
• Bertrand-Nash equil found similarly as above:
–
–
–
–
max profit wrt to strategy variable pi
solve for rfs
find where rfs intersect
solve for prices, quantities, and profits
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• Rfs slope up  the higher price i charges, the higher the
3.1 Cournot or Quantity Competition
price rival j wants to charge
• Prices are strategic complements
• Higher strategy draws a higher reaction from rivals
• Upward-sloping rfs  strategic complements
Homework
• Assume qi = a - fpi + gpj and ci = 0
• Prove: In price competition with differentiated products,
reaction functions slope up
• Solve for Bertrand-Nash equil prices, quantities and profits
for game above
• Solve for Cournot-Nash equil quantities, prices, and profits
for game w/ same demands and c = 0
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Capacity Constraints and Price Competition
3.1 Cournot or Quantity Competition
• What if firms first choose capacities q and then, knowing all
q’s, select prices p?
– We have a 2-stage game (more on this later)
– In equil, higher price than w/o capacity constraints
– Intuition: limited capacity  business stealing not
attractive option  want to price less aggressively  rival
prices less aggressively  higher profits
• Cournot outcome possible w/ price competition
– Interpret: Cournot = capacity competition
• Cournot
– mkts where production desicions in advance, flexible
price, high storage costs
– consistent w/ empirical evidence
• Bertrand
– more realistic assumptions?
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2.4 Two-Stage Competition
• Simplest way to model dynamic rivalry; to model j’s
reactions to strategic moves by firm i
• Simplest way of allowing firms to change game they are
playing
• Idea: Choose a strategy now that affects game you play
tomorrow st your expected profits increase
• Capacity-Price -model above an example: Smaller capacity
now  reduce ability to compete aggressively in future 
draw less aggressive reactions from rivals  higher profit
Stackelberg Oligopoly
• Stackelberg-Cournot game: Firm i chooses its output first,
and j after i’s choice
• Precommitment by i is relevant, not physical timing of moves
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• Solve by backward
induction: Competition
2.4 Two-Stage
– First look at last possible moves of the game
– What is optimal last move?
– Then work backward to beginning of game, as in
dynamic programming
– Given last move will optimal, what is optimal penultimate
move?
– Game tree (compare to decision tree)
• Simple mode: Demand p = a - b(qi + qj), c = 0
Last move
• When j chooses her capacity, she knows i’s capacity qiS
• j's optimal capacity determined by her reaction function (2)
qj*(qi) = a/2b - qi/2
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Penultimate 2.4
move
Two-Stage Competition
• To design good strategy, i must put himself on j’s shoes and
try to think how he would behave were he the last to move
• i chooses qiS to max profits, taking as given i’s reaction
function, not equilibrium output as in Cournot game
• i chooses best point from rival’s reaction function
• Plug (2) into i’s profit function (a - b(qi+qj))qi and solve for
qiS
• Plug qiS back to (2) and solve for qj*, and then solve for
prices and profits
• In Stackelberg game, i’s profits higher and j’s lower than in
Cournot game
• First-mover advantage
• Intuition: Commit to flood the market  induces rival to
lower output  increases your profit
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•
•
•
•
•
Crucial reasons:
1) commitment,
2) strategies substitutes
2.4 Two-Stage
Competition
Equil above “subgame perfect Nash equilibrium”
Also other Nash equil possible:
i announces to produce qi s.t. p(qi) < cj if j enters
This is not be credible: i will not want to undertake threat
should j enter (more on this later)
Homework
• Solve Stackelberg equilibrium capacities, prices and profits
• You can assume symmetric demands qi = a - fpi + gpj,
qj = a - fpj + gpi and c = 0
• Show: In Stackelberg-Bertrand duopoly, there is second
mover advantage.
• You can assume symmetric demands as above
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2.4 Dynamic Competition
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•
2 time periods, denoted by 1 and 2
Firm i can take strategic action k on period 1
Strategic action measured by its cost
Strategy k is sunk on 2nd period, i cannot revoke it
k is investment, precommitment
On period 2, i and j compete
Assume k does not affect j’s demand or costs directly
i’s 2nd period profits are i(qi,qj,k)
i’s 1st period profits are i (qi,qj,k) - k
k shifts i’s 2nd period profit fn
Strategic move k alters i’s own incentives to choose later 2nd
period tactics
• To find equil, solve for by backward induction starting from
2nd period game
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2nd period
• For given k, equil again given by
di/dqi = 0
di/dqj = 0
• 2nd period reaction functions qi(qj,k) and qj(qi,k), and optimal
tactics qi*(k) are now functions of k
• Equil profits are i(qi*(k),qj*(k),k)
1st period
• How to choose k?
• Profits i(qi*(k),qj*(k),k) - k
• To find max profit, differentiate i wrt k to get MR – MC = 0;
this gives
d  dq
i
i
i
dk
dq
+
d  dq j
dq
i
j
dk
+
d
i
dk
-1 = 0
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• First term is
zeroTwo-Stage
because i will Competition
choose tactic qi st
2.4
di/dqi = 0; we have:
d i ( qi* ,q*j ,k ) dq*j d i
+
=1
dq j
dk
dk
•
•
•
•
LHS 2nd term: direct effect
LHS 1st term: strategic effect
RHS: Direct cost of commitment
How can k alter j’s 2nd period tactics since k does not directly
affect j’s profits?
• Strategic move k alters i’s own incentives to choose  alters
j’s incentives to react  changes i’s profits
• Sign of strategic effect is equal to sign of
d 2 i d 2 i d i
dqi dk dqi dqj dq j
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Three effects 2.4 Two-Stage Competition
• How commitment k changes i’s own optimal tactics
• How j reacts to changes in i’s incentives
• How i’s profits are affected by changes in j’s tactics
Strategic effect > 0  overinvest in k
Strategic effect < 0  underinvest in k
• Example: Cost reduction in Cournot and Bertrand games
– How reaction functions shift as marginal costs of j are
decreased?
• Example: Increased marketing in Cournot and Bertrand
games
– How reaction functions shift as j increases her marketing
expenses?
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Taxonomy for
Strategies
2.4
Two-Stage Competition
• Strategic substitutes vs complements
– Cournot game = strategic substitutes
– Bertrand game = strategic complements
• Commitment makes firm tough vs soft
• Investment k makes i tough
– i will produce more or price below
– k shifts i’s rf right and up in Cournot game
– k shifts i’s rf right and down in Bertrand game
• Investment k makes i soft
– i will produce less or price above
– k shifts i’s rf left and down in Cournot
– k shifts i’s rf left and up in Bertrand
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Commitment makes firm
Stage 2 variables are
Tough
Soft
Strategic
Complements
(eg, prices)
Puppy Dog Ploy
Strategic effect < 0
Commitment cause
rivals behave more
aggressively
Fat Cat Effect
Strategic effect > 0
Commitment cause
rivals behave less
aggressively
Strategic
Substitutes
(eg, capacities)
Top-Dog Strategy
Strategic effect > 0
Commitment cause
rivals behave less
aggressively
Lean and Hungry Look
Strategic effect < 0
Commitment cause
rival behave more
aggressively
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Strategic Incentives
to CommitCompetition
in Cournot
2.4 Two-Stage
• Commitment makes firm tough
– Firm will produce more for all given rivals’ output
– Reaction function shifts outward
– Example: Marginal cost reducing innovation
– Beneficial side-effect
– Strategic effect might outweigh direct effect
 Invest even if NPV < 0!
– Top-Dog: Big or strong to become aggressive
• Commitment makes firm soft
– Firm will produce less for all given rivals’ output
– Reaction function shifts inward
– Example: Marginal cost increasing entry into other mkt
 Even monopoly might not be enough
– Negative side-effect
– Lean and Hungry Look: Refrain from expanding to avoid
weakness
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Strategic Incentives
to CommitCompetition
in Bertrand
2.4 Two-Stage
• Commitment makes firm tough
– Firm will underprice
– Reaction function shifts inward
– Example: MC-reducing innovation
– Negative side-effect
– Puppy-Dog Ploy: stay small or weak to avoid agressive
competition  Do not lower costs!
• Commitment makes firm soft
– Firm will overprice
– Reaction function shifts outward
– Beneficial side-effect
– Example: Target small niche, Product differentation
– Fat-Cat Effect: Become soft to attract only weak
competition  Sumo-strategy
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• Need to look
more
than just direct
effects of irreversible
2.4
Two-Stage
Competition
decisions
• Nature of future competition affects incentives to make
investments or commitments now
Examples of 1st Stage Commitments
• Build excess capacity  deter entry
• Enter and underinvest  avoid attracting tough competition
• R&D: reduce costs  price aggressively / gain mkt share
• Networks: build large customer base, costly to switch  less
competition in future
• Patent licensing  withhold or exchange key info or patents
with rivals
• Underinvest in marketing  less loyal customers  become
aggressive in 2nd stage
• Overinvest in marketing  loyal customers  become soft in
2nd stage
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• Merger: profitable
under Bertrand,
unprofitable under
2.4 Two-Stage
Competition
Cournot competition
• Make products less similar  soften price competition
• Financial structure: overleverage to make managers more
aggressive
• Managerial compensation: Tie managers’s compensation on
sales  Stackelberg equil
• Long-term contracts with customers, Most favorite nation
clause  reduce incentive to cut prices
• Customer Swithcing Costs: lock in customers  less
incentives to go after new customers  draw less aggressive
reactions from rivals
• Multimarket Contact  strategic effects from mkt 1 to mkt 2
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