chapter 6: dynamic games - albert...
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Chapter 6: Dynamic GamesFinancial Microeconomics
Albert Banal-Estañol
City University
Albert Banal-Estañol (City) Chapter 6 1 / 21
Chapter 6.1�s Plan
Motivation:
e.g. �rms usually compete for several periodsin a bargaining process there are o¤ers and countero¤ers,...
Start by representing the normal form and using the NE concept
Problem of credibility and the principle of sequential rationality
Solving by backwards induction in perfect information games
Subgame Perfect Nash Equilibrium
Albert Banal-Estañol (City) Chapter 6 2 / 21
A Simple Entry Game
A potential entrant E decides whether to enter and if so...
Incumbent decides whether to �ght or accommodate
Albert Banal-Estañol (City) Chapter 6 3 / 21
Normal Form and Nash Equilibrium
Represented in normal form:
EnI F if In A if InOut 0,2 0,2In -3,-1 2,1
Nash equilibria:
Is the �rst reasonable? Problem of credibility. Other examples?
Shouldn�t prediction satisfy sequential rationality(i.e. "rational behaviour at each point in time")?
Yes! Need to re�ne Nash Equilibrium concept
Albert Banal-Estañol (City) Chapter 6 4 / 21
Backward Induction Method
Find sequential rational actions in extensive games:
Find optimal action at each of the predecessors of the terminal nodesAssociate these nodes with the payo¤s of the anticipated terminal nodeStart again the process with this reduced game
Example: solve for I�s post-entry optimal decision (Accommodate).Then, anticipating I�s decision, solve for E�s optimal decision (In)
Example in next slide: one obtains [R,c,(b,f,g)]. This is one of the NE.
Proposition: Every �nite game of perfect information has a purestrategy NE derived through BI. Moreover, if no player has the samepayo¤s at any two terminal nodes, it is unique
Albert Banal-Estañol (City) Chapter 6 5 / 21
Subgame Perfect Nash Equilibrium: Example
Extension of backwards induction to �imperfect information�games
Albert Banal-Estañol (City) Chapter 6 8 / 21
Subgame Perfect Nash Equilibrium
De�nition: A subgame of a game is a subset that satis�es:
Begins at an info set with only one node and contains all its successorsIf a node of an info set is in, then other nodes of the info set also are
Previous example: whole subgame and subgame starting at E node
De�nition: A strategy pro�le (σ1, ..., σI ) is a subgame perfect Nashequilibrium if it induces a NE in every subgame
By de�nition every SPNE is a NE (To �nd SPNE: select among NE!)
In perfect info: SPNE is equal to set of NE derived by BI
More generally, SPNE can be found by �nding NE in every subgameand substituting backwards (method 2 to �nd SPNE)
Albert Banal-Estañol (City) Chapter 6 9 / 21
Example (continued)
Normal form:
EnI A if In F if InOut, A if In 0,2 0,2Out, F if In 0,2 0,2In, A if In 3,1 -2,-1In, F if In 1,-2 -3,-1
NE:
Do all of them induce a NE in every subgame? SPNE:
Other examples in Industrial Organisation: choosing degree ofdi¤erentiation before competing in prices
Albert Banal-Estañol (City) Chapter 6 10 / 21
6.2.- More Games
Stackelberg competition:
Model, representation and backwards inductionOutcome and comparison with Cournot
Another model of entry:
Model, representation and SPNE
Albert Banal-Estañol (City) Chapter 6 11 / 21
Stackelberg Competition: Model
As in the Cournot model, two �rms select quantities and...an auctioneer chooses the price according to P() where
P(q1 + q2) =�1� (q1 + q2) if q1 + q2 � 10 if q1 + q2 > 1
and each �rm�s unit costs are c (� 1)But now...
Firm 1 sets its output before Firm 2 doesFirm 2 observes Firm 1�s output, q1, before choosing q2
Albert Banal-Estañol (City) Chapter 6 12 / 21
Stackelberg Competition: Elements
Players: Firms 1 and 2. Payo¤s:
Πi (qi , qj ) = (maxf[1� (qi + qj )] , 0g) qi � cqi
Strategy for 1: an output q1 2 [0,∞)Strategy for 2: a function q2(q1), i.e. an output [0,∞) for each q1Examples of strategies:
q1 = 0.5
q2(q1) = 3q1 for any q1
Albert Banal-Estañol (City) Chapter 6 13 / 21
Stackelberg Competition: Backwards Induction (BI)
Solving by backwards induction, Firm 2�s best reply (FOC) is:
q�2 (q1) = B2(q1) =� 1�q1�c
2 if q1 � 1�c2
0 if q1 > 1�c2
Anticipating this, Firm 1 maximises (clearly q�1 � 1�c2 )
Π1(q1,B2(q1)) =�1�
�q1 +
1� q1 � c2
��q1 � cq1
Solving the FOC:
q�1 =1� c2
The NE obtained by BI is given by (q�1 , q�2 (q1))
Albert Banal-Estañol (City) Chapter 6 15 / 21
Stackelberg Competition: Outcome
Firm 1 produces
qS1 =1� c2
whereas Firm 2 produces
qS2 = q�2 (q
S1 ) =
1� c4
Total quantity and prices are given by
qS1 + qS2 =
3(1� c)4
and P�qS1 + q
S2
�=1+ 3c4
and the pro�ts for each �rm are given by
Π1
�qS1 , q
S2
�=(1� c)2
8, Π2
�qS1 , q
S2
�=
�1� c4
�2Albert Banal-Estañol (City) Chapter 6 16 / 21
Stackelberg vs Cournot
Firm 1 produces more than in Cournot
qS1 =1� c2
>1� c3
= qC1
whereas Firm 2 produces less
qS2 =1� c4
<1� c3
= qC2
Firm 1 earns more than in Cournot
ΠS1 =
(1� c)2
8>(1� c)2
9= ΠC
1
whereas Firm 2 earns less
ΠS2 =
(1� c)2
16>(1� c)2
9= ΠC
2
Albert Banal-Estañol (City) Chapter 6 17 / 21
Another Model of Entry
Consider again an incumbent monopolist facing a potential entrant
Now, more explicit model:
New entry entails a positive �xed cost fIf entrant does not enter, it earns 0 and the incumbent is a monopolistIf entrant does enter, the two �rms compete a la Cournot
Again demand is given by
P(qI + qE ) =�1� qI + qE if qI + qE � 10 if qI + qE > 1
and �rms�unit costs are c (� 1)
Albert Banal-Estañol (City) Chapter 6 18 / 21
Entry Model: Elements
Players: Firms I and E
Strategies: E : fIn or Out, qE g; I : fqI g where qE , qI 2 [0,∞)Payo¤s (if the entrant enters):
ΠI (In, qE , qI ) = (maxf1� (qE + qI ), 0g) qI � cqIΠE (In, qE , qI ) = (maxf1� (qE + qI ), 0g) qE � cqE � f
Payo¤s (if the entrant does not enter):
ΠI (Out, qI ) = (maxf1� qI , 0g) qI � cqIΠE (Out, qI ) = 0
Albert Banal-Estañol (City) Chapter 6 19 / 21
Entry Model: SPNE (1)
Following In there is a subgame, the Cournot game, except thatpayo¤ of entrant is reduced by f . Output of each �rm in a SPNE is
qCi =1� c3
and the pro�ts would be
ΠI (In, qCI , q
CE ) =
�1� c3
�2and ΠE (In, q
CI , q
CE ) =
�1� c3
�2� f
Following Out there is a subgame, the monopoly case. The output ofthe incumbent in a SPNE is (and the pro�ts would be)
qMI =1� c2
and ΠI (Out, qMI ) =
�1� c2
�2and ΠE (Out, q
MI ) = 0
Albert Banal-Estañol (City) Chapter 6 20 / 21
Entry Model: SPNE (2)
Anticipating this, in a SPNE the potential entrant enters whenever
ΠE (In, qCI , q
CE ) =
�1� c3
�2� f � 0 = ΠE (Out, q
MI )
In sum, the outcome of the SPNE of the game depend on f and c :If f <
� 1�c3
�2: (one SPNE) In and qi = qCi =
1�c3 for i = E , I
If f >� 1�c3
�2: (one SPNE) Out and qI = qMI =
1�c2
If f =� 1�c3
�2: (two SPNE) the two previous outcomes may arise
Notice that, as before, there is a NE (not SPNE) in which theincumbent �oods the market and the potential entrant does not enter
Albert Banal-Estañol (City) Chapter 6 21 / 21