Dynamic Games & Cartels Johan.Stennek@Economics.gu.se 1 - - PowerPoint PPT Presentation

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Dynamic Games & Cartels Johan.Stennek@Economics.gu.se 1 - - PowerPoint PPT Presentation

Dynamic Games & Cartels Johan.Stennek@Economics.gu.se 1 Dynamic Games 2 Dynamic Games & Cartels Imperfect informa5on Incomplete informa/on = To study cartels, we need to study a dynamic When players dont know each


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SLIDE 1

1


 Dynamic Games & Cartels

Johan.Stennek@Economics.gu.se

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SLIDE 2

2

Dynamic Games

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SLIDE 3

Dynamic Games & Cartels

  • Imperfect informa5on

– To study cartels, we need to study a dynamic games where firm take simultaneous decisions – Example: they set prices simultaneously the beginning of every day – This is an example of imperfect informa5on

  • When several players make decisions at the same 5me
  • When a player does not know what others did in the

past

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Incomplete informa/on = When players don’t know each

  • thers’ payoff func5ons
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SLIDE 4

Dynamic Games & Cartels

  • Subgame perfect equilibrium

– In games with imperfect informa5on, we cannot do backwards induc5on as before – But, almost the same – Called SPE

  • Illustra5on

– Before studying cartels – Look at simpler problem: Entry deterrence

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SLIDE 5

Entry Deterrence

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Entry Deterrence

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  • Problem

– Monopoly profits may trigger entry

  • Solution

– Threaten new firms with price war

  • Problem

– Low prices also costly to incumbent

  • Question: Credible?
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SLIDE 7

Entry Deterrence

  • Timing

– Time 1: Entrant decides whether to enter – Time 2: Firms set prices simultaneously

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SLIDE 8

Entry Deterrence

  • Demand

– Value of first unit V; second unit worthless – Perfect substitutes – 2 consumers aware of entrant; buy from cheapest – 1 consumer not aware; buys from incumbent

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SLIDE 9

Entry Deterrence

  • Technology

– Incumbent’s marginal cost CI = 8 – Entrant’s marginal cost CE = 7 – Entry cost K = 2

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SLIDE 10

Entry Deterrence

  • Simplifications

– If entry, firms can choose between two prices

  • PH = V = 10
  • PL = CI = 8

– If no entry, incumbent charges

  • PH = V = 10

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SLIDE 11

Entry Deterrence

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I E E Low Low 3(8-8)=0, 0(10-7)-2=-2 3(10-8)=6, 0 E Enter N

  • t

e n t e r 2(10-8)=4, 1(10-7)-2=1 1(10-8)=2, 2(8-7)-2=0 2(8-8)=0, 1(8-7)-2=-1 Incumbent, Entrant q(p-c)=π , q(p-c)=π

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SLIDE 12
  • Imperfect information

– Pricing decisions simultaneous – E doesn’t know which node he is at – Information set – dashed line – Must make same choice

Entry Deterrence

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I E E L

  • w

L

  • w

0, -2 6, 0 E Enter N

  • t

e n t e r 4, 1 2, 0 0, -1

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SLIDE 13
  • Backwards induction must be modified

– E prefers High if High – E prefers Low if Low – But, must make same choice

Entry Deterrence

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I E E L

  • w

L

  • w

0, -2 6, 0 E Enter N

  • t

e n t e r 4, 1 2, 0 0, -1

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SLIDE 14
  • Decisions in second period constitutes a game

tree in itself = Sub-game

Entry Deterrence

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I E E L

  • w

L

  • w

0, -2 6, 0 E Enter N

  • t

e n t e r 4, 1 2, 0 0, -1

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SLIDE 15
  • Sub-game perfect equilibrium

– An equilibrium of complete game should prescribe equilibrium play in all sub-games – Otherwise someone would deviate if sub-game reached

Entry Deterrence

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I E E L

  • w

L

  • w

0, -2 6, 0 E Enter N

  • t

e n t e r 4, 1 2, 0 0, -1

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SLIDE 16
  • E’s decisions do not constitute sub-games

– Cannot split information sets

Entry Deterrence

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I E E L

  • w

L

  • w

0, -2 6, 0 E Enter N

  • t

e n t e r 4, 1 2, 0 0, -1

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SLIDE 17
  • Normal form of pricing sub-game

– Incumbent is row-player – Both have two strategies (complete plans of actions) – Sole equilibrium: (high, high) – Equilibrium payoffs: (4, 1)

Entry Deterrence

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High Low High 4, 1 2, 0 Low 0, -2 0, -1

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SLIDE 18
  • Truncated game

– Entrant must enter

Entry Deterrence

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6, 0 E Enter N

  • t

e n t e r 4, 1

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SLIDE 19
  • Unique sub-game perfect equilibrium predicts

– Entrant enters – Both charge high prices – That is: Incumbent’s threat to start price war is not credible. Better to exploit captive consumers.

  • There are other Nash equilibria. Not credible.

Entry Deterrence

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SLIDE 20

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Cartels

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Cartels

  • Oligopolis5c compe55on

– Lower prices and profits

  • Q: Why not cooperate instead?

– Common price policy – Share the market

  • A: Not feasible

– Incen5ve to cheat – Agreement not enforced by courts

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SLIDE 22

Cartels

  • But, cartels do exist

– Sweden: Petrol, Asphalt – Europe/EU: Sotheby and Chris5es – Generic drugs?

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SLIDE 23

Generic drugs

  • Na5onal auc5on

– All drugs without patent – Every month

  • Idea

– Lowest price = “product of the month” – Large market share

  • Recommended
  • Subsidy does not cover “over-charge”
  • But

– Also “brand name” usually gets market share

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SLIDE 24

Generic drugs

  • Example: Atorvasta5n

– Reduces cholesterol – Patent expired in 2012 – Sold in different package sizes, e.g.:

  • 100-pills: large market => many compe5tors
  • 30-pills: smaller market => fewer compe5tors

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SLIDE 25

Generic drugs

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Price of the product of the month

Both P30 and P100 drop a lot

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SLIDE 26

Generic drugs

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Price of the product of the month

P30 10 5mes higher than P100 But, P30 start to increase again

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SLIDE 27

Generic drugs

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30-pill market Brand name Compe5tors start to take turns

  • Share the market
  • Price almost same as brand name
  • They seem to collaborate !
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Cartels

  • Q: Collabora5on - What do we miss?

– Markets are long lived – Changes the situa5on drama5cally

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SLIDE 29

Agenda

  • Issues

– How can cartels enforce their agreements? – What markets are at risk? – How can we fight cartels?

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First a liile bit of game-theory…

“Folk Theorem”

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SLIDE 31

Folk theorem

  • Repeated game theory

– Model to explain how people can cooperate

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SLIDE 32

Folk theorem

  • Recall “prisoners’ dilemma”

– Two players – Two strategies: Cooperate and Cheat – Payoff matrix:

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Cooperate Cheat Cooperate 10, 10

  • 1, 18

Cheat 18, -1 0, 0

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SLIDE 33

Folk theorem

  • Unique Nash equilibrium: both cheat

– In fact: cheat is domina5ng strategy

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Cooperate Cheat Cooperate 10, 10

  • 1, 18

Cheat 18, -1 0, 0

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SLIDE 34

Folk theorem

  • Now repeat PD game infinitely many 5mes

– t = 1, 2, 3, ….. – Payoff = discounted sum of period payoffs – Complete and “almost perfect” informa5on

  • Strategy

– Instruc5on telling player what to do at every decision node

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Folk theorem

  • Define: Trigger strategy

– Period 1: Cooperate – Period t = 2, 3, ….

  • Cooperate, if both have cooperated all previous periods
  • Cheat, otherwise
  • Note

– This is only a defini5on – a possible way to behave – If both follow TS, then coopera5on (at every t) – Ques5on: when would players behave like this?

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Folk theorem

  • Game theore5c details

– Need to study if TS is Sub-game perfect equilibrium – Problem: No last period – We will skip these “details” – Take short-cut

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Folk theorem

  • Analysis

– Assume A follows TS – Does B want to follow TS (in every subgame)? – If so, (TS, TS) is SPE

  • Need to consider two cases (types of subgames)

– When nobody has cheated in the past – When somebody has cheated in the past

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SLIDE 38

Folk theorem

  • Assume: nobody has cheated in the past

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Follow TS U cooperate =10+δ ⋅10+δ 2⋅10+δ 3⋅10+....=10⋅ 1 1−δ (δ <1) Cheat U cheat =18+δ ⋅0+δ 2⋅0+δ 3⋅0+...=18 No deviation if U cooperate ≥U cheat ⇔ 10⋅ 1 1−δ ≥18⇔ δ ≥ 4 9

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SLIDE 39

Folk theorem

  • Assume: somebody has cheated in the past

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Follow TS U cooperate = 0+δ ⋅0+δ 2⋅0+δ 3⋅0+....= 0 Cheat (nothing to gain even in the short run) U cheat = 0+δ ⋅0+δ 2⋅0+δ 3⋅0+...= 0

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SLIDE 40

Folk theorem

  • Folk theorem

– IF a game (e.g. prisoners’ dilemma) is repeated infinitely many 5mes, and – IF the players are sufficiently pa/ent, – THEN, they can enforce coopera/ve outcomes, simply by threa5ng not to cooperate anymore if somebody cheats.

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Folk theorem

  • Examples

– Externali5es – Public goods – Cartels – …

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Folk theorem

  • But, mul5ple equilibria

– Also the strategy “Always cheat” is a subgame- perfect equilibrium

  • Conclusion

– Folk-theorem shows condi5ons under which coopera5on might arise, not that it must arise

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How cartels work

How can they enforce their agreements?

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How cartels work

  • Setup

– Players: Two firms – Ac5ons: Set prices in each period (Bertrand) – Time: t = 1, 2, 3, … (infinite) – Informa5on: Complete and “almost perfect” – Payoff: Πi = Σt δt-1 πi(pt

1, pt 2) [δ < 1 is discount factor]

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How cartels work

  • Defini5ons π = period profit of a firm

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πN = All firms compete (Nash equilibrium) p = c πC = All firms charge cartel (= monopoly) price pm πD = Best one-stage devia5on when all

  • ther firms charge cartel price

p < pm πD > πC > πN

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How cartels work

  • Trigger Strategy - Defini5on

– Start out charging the monopoly price – If no firm has cheated in the past,

  • set monopoly price

– If someone has cheated in the past,

  • set price equal to one stage Nash (in Bertrand p = c)

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How cartels work

  • Claim

– If A behaves according to TS, it is in B’s interest to also follow TS in every subgame, and vice versa.

  • Note

– No incen5ves to deviate è [TS, TS] = SPE – Monopoly price will prevail – Coopera5on hinges on threat of price war

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SLIDE 48

How cartels work

  • Proof – Coopera5ve phase

– Assume no one has deviated in the past – Assume B s5cks to TS – Q: Does A have incen5ve to deviate?

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How cartels work

  • If A s5cks to TS
  • If A deviates one period

– Maximum profit during the period is πD – Then, war starts: πN

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V + = π C +δπ C +δ2π C +...= 1 1−δ π C V D = π D +δπ N +δ2π N +...= π D + δ 1−δ π N

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SLIDE 50

How cartels work

  • No incen5ve to deviate if

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V + ≥ V D π C + δ 1− δ π C ≥ π D + δ 1− δ π N δ ≥ π D − π C

( )

π D − π C

( ) − π N − π C ( )

≡ δ

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SLIDE 51

How cartels work

  • No incen5ve to deviate if

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V + ≥ V D π C + δ 1− δ π C ≥ π D + δ 1− δ π N δ ≥ π D − π C

( )

π D − π C

( ) − π N − π C ( )

≡ δ

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SLIDE 52

How cartels work

  • No incen5ve to deviate if

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V + ≥ V D π C + δ 1− δ π C ≥ π D + δ 1− δ π N δ ≥ π D − π C

( )

π D − π C

( ) − π N − π C ( )

≡ δ

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SLIDE 53

How cartels work

  • No incen5ve to deviate if

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δ ≥ π D −π C

( )

π D −π C

( )− π N −π C ( )

≡ δ

Gain from cheating today Loss from cheating tomorrow

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SLIDE 54

How cartels work

  • Example: Bertrand compe55on with homogenous goods

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π N = 0 π C = π monopoly / 2 π D = π monopoly δ ≥ π monopoly − π monopoly / 2 π monopoly − π monopoly / 2 ⎡ ⎣ ⎤ ⎦ − 0 − π monopoly / 2 ⎡ ⎣ ⎤ ⎦ = 1 2

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How cartels work

  • Proof – Punishment phase

– Assume someone has deviated in the past – Assume B s5cks to TS – Q: Does A have incen5ve to deviate?

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How cartels work

  • Proof – Punishment phase

– If A also s5cks to TS

  • V- = πN + δ πN + δ2 πN + … = πN/(1-δ)

– If A deviates one period

  • Maximum profit during the period is s5ll πN
  • Subsequent periods: war s5ll con5nues, giving profit πN
  • Vd = πN + δ πN + δ2 πN + … = πN/(1-δ)

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SLIDE 57

How cartels work

  • Q: Conclusion

– Cartels self-enforcing – If firms sufficiently pa5ent

  • Policy implica5ons

– Not sufficient to deny firms legal enforcement – Necessary to make collusion illegal and punish

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SLIDE 58

How cartels work

  • Compe55on is also possible

– Compe55ve Strategy: Always set price equal to cost – If A follows CS, B has incen5ve to follow CS – CS is also SPE

  • What should we predict?

– Economics has no answer today

  • Economics s5ll useful

– Delineate necessary condi5ons for collusion (e.g. interest rate).

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What Markets have High Risk of Cartels?

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Which Markets?

  • Factors facilita5ng collusion

– Discount factor (interest rate) – Concentra/on – Entry barriers – Frequency of interac5on – Transparency – Business cycles and fluctua5ons – Firm differences

  • How to use the list

– Iden5fy poten5ally problema5c industries – In cases, analyze if allega5ons plausible

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Which Markets?

Concentra5on

  • If a duopoly firm cheats

» Gain (first period): πm/2 = πm – πm/2 » Loss (subsequently):

  • πm/2= 0 – πm/2
  • If a triopoly firm cheats

» Gain (first period): 2πm/3 = πm – πm/3 » Loss (subsequently):

  • πm/3= 0 – πm/3
  • Predic5on

– Lower concentra5on → more temp5ng to cheat → cartels less stable

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Which Markets?

Concentra5on

  • If a duopoly firm cheats

» Gain (first period): πm/2 = πm – πm/2 » Loss (subsequently):

  • πm/2 = 0 – πm/2
  • If a triopoly firm cheats

» Gain (first period): 2πm/3 = πm – πm/3 » Loss (subsequently):

  • πm/3= 0 – πm/3
  • Predic5on

– Lower concentra5on → more temp5ng to cheat → cartels less stable

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SLIDE 63

Which Markets?

Concentra5on

  • If a duopoly firm cheats

» Gain (first period): πm/2 = πm – πm/2 » Loss (subsequently):

  • πm/2 = 0 – πm/2
  • If a triopoly firm cheats

» Gain (first period): 2πm/3 = πm – πm/3 » Loss (subsequently):

  • πm/3= 0 – πm/3
  • Predic5on

– Lower concentra5on → more temp5ng to cheat → cartels less stable

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SLIDE 64

Which Markets?

Concentra5on

  • If a duopoly firm cheats

» Gain (first period): πm/2 = πm – πm/2 » Loss (subsequently):

  • πm/2 = 0 – πm/2
  • If a triopoly firm cheats

» Gain (first period): 2πm/3 = πm – πm/3 » Loss (subsequently):

  • πm/3 = 0 – πm/3
  • Predic5on

– Lower concentra5on → more temp5ng to cheat → cartels less stable

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Which Markets?

Concentra5on

  • If a duopoly firm cheats

» Gain (first period): πm/2 = πm – πm/2 » Loss (subsequently):

  • πm/2 = 0 – πm/2
  • If a triopoly firm cheats

» Gain (first period): 2πm/3 = πm – πm/3 » Loss (subsequently):

  • πm/3 = 0 – πm/3
  • Predic5on

– Low concentra5on → more temp5ng to cheat → cartels less stable

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