Chapter Twenty-Six - Uniwersytet Warszawski
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Transcript Chapter Twenty-Six - Uniwersytet Warszawski
Summary
(almost) everything you need to
know about micro theory
in 30 minutes
Production functions
Q=f(K,L)
Short run: at least one factor fixed
Long run: anything can change
Average productivity: APL=q/L
Marginal productivity: MPL=dq/dL
Ave prod. falls when MPL<APL
MPL falls, eventually (the „law” of diminishing
marginal productivity)
Isoquants
All
combinations of factors that allow
same production
Stolen from: prenhall.com
Substitution
MRTSKL=-MPK/MPL
(how
many units of labor are
necessary to replace one unit of
capital)
MRTS is the inverse of the slope of
the isoquant
Economies of scale
f(zK,zL)><=zf(K,L),
z>1
Shows whether large of small
production scale more efficient
Example: Cobb-Douglas:
(zK)α(zL)β=z(α+β)KαLβ
Thus economies of scale are
constant (increasing, decreasing) if
α+β equal to (greater than, smaller
than) 1.
Costs
Economist’s and accountant’s view
Opportunity costs
Sunk costs („bygones are bygones”)
TC(q)=VC(q)+FC
ATC(q)=TC(q)/q
MC(q)=dTC(q)/dq
MC assumed to go up, eventually
AVC(q) and ATC(q) minimum when equal
to MC
Cost minimization
Cost
minimization with fixed
production
Dual problem to maximizing
production with fixed costs
Perfect competition
Assumptions
– Many (small) firms
– New firms can enter in the long run
– Homegenous product
– Prices known
– No transaction or search costs
– Prices of factors (perceived as) constant
– Market price perceived as constant (firm is a „pricetaker”)
– Profit maximisation
– Decreasing economies of scale
Main feature: perfectly elastic demand for a single firm
Perfect competition-analysis
Magical formula: MC(q)=P
Defines inverse supply f. for a single firm
Aggregate supply: S(P)=ΣSi(P)
In the long run:
– Profit=0
– P=min(AC)
– S=D
Efficiency:
– Lowest possible production cost
– Production level appropriate given
preference
Monopoly
Sources
of monopolistic power
– Administrative regulations (e.g.
Poczta Polska)
– Natural monopoly (railroad
networks)
– Patents
– Cartels (the OPEC)
– Economies of scale
The magic formula: MR(q)=MC(q)
Monopoly-cont’d
By increasing production, monopoly negatively
affects prices
Thus MR lower than AR(=p)
E.g. with P=a+bq:
TR=Pq=(a+bq)q=aq+bq2
MR=a+2bq
Another useful formula: link with demand
elasticity:
MR=P(q)(1+1/ε)
Thus always chooses such q that demand is
elastic
Inefficiency: production lower than in PC, price
higher – deadweight loss
Plus, losses due to rent-seeking
Monopoly: price discrimination
Trying
to make every consumer pay
as much as (s)he agrees to pay
1st degree (perfect price disc. –
every unit sold at reservation price),
– production as in the case of a
perfectly competitive market
– (thus no inefficiency)
– No consumer surplus either
Price discrimination-cont’d
2nd
degree: different units at
different prices but everyone pays
the same for same quantity
Examples: mineral water, telecom.
3rd degree: different people pay
different prices
– (because different elasticities)
– E.g.: discounts for students
Two-part tarifs
Access fee + per-use price
Examples: Disneyland, mobile phones,
vacuum cleaners
Homogenous consumers:
– Fix per-use price at marginal cost
– Capture all the surplus with the access
fee
Different consumer groups
– Capture all the surplus of the „weaker”
group
– Price>MC
– OR: forget about the „weaker” group
Game theory
Used to model strategic interaction
Players choose strategies that affect
everybody’s payoffs
Important notion: (strictly) Dominant
strategy – always better than other
strategy(ies)
Example
left
middl
e
4,1
right
Strategy „left” is
dominated by „right” up
2,2
1,3
Will not be played
2,5
2,2
up, down, middle and dow 6,1
right are rationalizable n
Nash equilibrium: two strategies that are
mutually best-responses (no profitable
unilateral deviation)
No NE in pure strategies here
NE in mixed strategies to be found by equating
expected payoffs from strategies
Repeated games
Same
(„stage”) game played multiple
times
If only one equilibrium, backward
induction argument for finite
repetition
What if repeated infinitly with some
discount factor β?
Repeated games-cont’d
„prisoner’s dillema”
Low
price
High
price
Low
price
1,1
High
price
3,0
0,3
2,2
Consider „trigger” stragegy: I play high but if you play
low once, I will always play low.
If you play high, you will get 2+2β+2β2+…
If you play low, you will get 3+β+β2+…
Collusion (high-high) can be sustained if our βs are .5
or higher
(though low-low also an equilibrium in a repeated
game)
Sequential games
A tree (directed graph with no cycles) with
nodes and edges
Information sets
Subgame: a game starting at one of the
nodes that does not cut through info sets
SPNE: truncation to subgames also in
equilibrium
Backward induction: start „near” the final
nodes
Example: battle of the sexes
Oligopoly: Cournot
Low
number of firms
Firms not assumed to be price-takers
Restricted entry
Nash equilibrium
Cournot: competition in quantities
Example: duopoly with linear
demand
Cournot duopoly with linear demand
P=a-bQ=a-b(q1+q2)
Cost
functions: g(q1), g(q2)
Π1=q1(a-b(q1+q2))-g(q1)
Optimization yields q1=(a-bq2MC1)/2b
(reaction curve of firm 1)
Cournot eq. where reaction curves
cross
Useful formula: if symmetric costs:
q1 =q2 =(a-MC)/3b
Oligopoly: Stackelberg
First
player (Leader) decides on
quantity
Follower react to it
SPNE found using backward
induction:
Π2=q2(a-b(q1+q2))-TC2
Reaction curve as in Cournot:
q2= (a-bq1-MC2)/2b
For constant MC we get:
q1 =2q2 =(a-MC)/2b
Comparing Cournot and Stackelberg
Firm
2 reacts optimally to q1 in either
But firm 1 only in Cournot
Firm 1 will produce and earn more in
vS
Firm 2 will produce and earn less
Production higher, price lower in
Stackelberg if cost and demand are
linear
Oligopoly: plain vanilla Bertrand
Both
firms set prices
Basic assumption: homogenous
goods
(firm with lower price captures the
whole market)
Undercutting all the way to P=MC
If firms not identical, the more
efficient one will produce and sell at
the other’s cost
More realistic: heterog. goods
Competitor’s
price affects my sales
negatively
(but not drives them to 0 when just
slightly lower than mine)
Example:
q1=12-P1+P2
TC1=9q1, TC2=9q2
q1=12-P2+P1
P1=P2=10>MC
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