Industrial Organization or Imperfect Competition Limit Pricing - PowerPoint PPT Presentation

1 / 13
About This Presentation
Title:

Industrial Organization or Imperfect Competition Limit Pricing

Description:

... Limit PricingGLimit Pricing an asymmetric information story about entry ... Toy Game II*Equilibria in Toy Game II-Perfect Bayes-Nash Equilibria in Toy Game ... – PowerPoint PPT presentation

Number of Views:145
Avg rating:3.0/5.0
Slides: 14
Provided by: JanS161
Category:

less

Transcript and Presenter's Notes

Title: Industrial Organization or Imperfect Competition Limit Pricing


1
Industrial Organization or Imperfect
Competition Limit Pricing
  • Univ. Prof. dr. Maarten Janssen
  • University of Vienna
  • Summer semester 2008
  • Week 10 (May 27)

2
Limit Pricing an asymmetric information story
about entry deterrence
  • Incumbent has private information about cost
  • Cost can be either high or low
  • Potential entrant does not know cost structure
    incumbent, but has some beliefs about it
  • If incumbents cost is really low, entrant cannot
    compete and make positive profits if cost is
    high, entrant does make profit by entering
  • Can incumbent prevent entry in all or some cases?

3
Limit Pricing basic idea
  • A high-cost incumbent has an incentive to pretend
    to be low-cost if by so doing it can deter entry
  • The entrant recognizes this incentive to
    masquerade as a low cost firm
  • What can the entrant infer from observing low
    price knowing this may be a deception?
  • In turn this depends on the probability that
    observing a low-price means that the incumbent is
    a low-cost firm
  • First, need to develop game theory with private
    information

4
TOY GAME
  • Student considers applying for a PhD program
  • Student knows his own qualities (good, bad)
  • University has to decide whether or not to accept
    student if (s)he applies
  • University does not know quality of student, but
    believes that probability is 50-50
  • Pay-offs student, university depend on whether
    student is good or not in case student is
    accepted.

5
Game Structure Toy Game I
2, 2
Accept
U
Apply
-1 , 0
Reject
S
Dont Apply
0,0
GOOD
½
-2, -3
Accept
N
U
½
Apply
-1 , 0
Reject
S
BAD
Dont Apply
0,0
6
What is a strategy?
  • Rule that tells a player what to choose given the
    information (s)he has
  • Action to be taken conditional on information
  • Students strategy
  • Example Apply if, and only if, I am a good
    student
  • Four possible strategies (always apply, never
    apply, apply iff good, apply iff bad)
  • Universitys strategy
  • Just two possible accept, reject

7
Equilibrium definition
  • General Nash one strategy for each player such
    that no player has incentive to deviate given
    strategies of other players
  • Here, updating of information possible
  • Players may learn more about information other
    players have based on actions they take
  • University may learn information about quality
    student given whether student applies.
  • Update information using Bayes rule whenever
    possible
  • P(A/B) P(B/A)P(A) P(B)

8
Equilibria in Toy Game I
  • Suppose student chooses apply iff good, what is
    optimal reaction of university
  • Bayesian updating P(good/apply)
    P(apply/good)P(good)/P(apply) 1.½ / ½ 1
  • Thus, P(bad/apply) 0
  • University will rationally accept
  • Given university will accept, above proposed
    strategy student is optimal
  • Separating (or revealing) equilibrium
  • Different types of students choose different
    actions
  • Is there another (pooling) equilibrium?
  • Student never applies, university rejects

9
Game Structure Toy Game II
U
10
Equilibria in Toy Game II
  • Separating equilibrium unaffected
  • Student chooses apply iff good
  • University chooses accept
  • Pooling equilibrium unaffected
  • Student never applies, university rejects
  • But, it is strange now
  • University is always better off to accept
    students
  • Reject is what seems to be an incredible threat
  • How to get rid of this incredible threat? Subgame
    perfection?
  • What is value of P(good/apply)?
  • Out-of-equilibrium beliefs (when certain
    information sets are not on the equilibrium path,
    Bayes rule cannot be applied)
  • Perfect Bayes-Nash equilibrium impose as an
    additional restriction that given certain
    arbitrary off-the-equilibrium beliefs, strategies
    should be optimal

11
Perfect Bayes-Nash Equilibria in Toy Game II
  • Separating equilibrium unaffected
  • There are no out-of-equilibrium beliefs
  • Pooling equilibrium affected
  • P(good/apply) should be defined. Let us say it
    equals µ, with 0 lt µ lt 1.
  • For any value of µ, accept is the optimal
    strategy
  • Therefore, in any perfect Bayes-Nash equilibrium,
    where students do not apply, university should
    accept.
  • Given university accepts, good student will
    apply.
  • No Pooling equilibrium exists

12
Game Structure Toy Game III
U
13
Equilibria in Toy Game III
  • Separating equilibrium unaffected
  • Is a perfect Bayes-Nash equilibrium
  • Pooling equilibrium Is a perfect Bayes-Nash
    equilibrium
  • Student never applies, university rejects
  • for values of µ with 2µ 3(1-µ) 0,
    P(good/apply) 5/6
  • But, it (again) is strange
  • Bad student is always better off not applying
  • Why should the university be afraid of bad
    students applying?
  • Domination-based beliefs if one type of player
    never has incentives to apply, other type may
    have an incentive to deviate (for certain
    reactions of opponent), then out-of-equilibrium
    beliefs should be such that all probability mass
    is given to player who may have incentive to
    deviate.
  • Domination-based beliefs restrict the set of
    reasonable out-of-equilibrium beliefs
  • Here, domination-based beliefs requires that µ
    1.
  • Given µ 1, university will accept
  • Pooling equilibrium does not satisfy
    domination-based beliefs requirement
Write a Comment
User Comments (0)
About PowerShow.com