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Lecture 13οΏ½Game Theory I: Introduction

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15.011/011 Economic Analysis for Business Decisions

Oz Shy

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What is a game?

Before giving a "formal" definition, let's look at an example of a normal-form game (a single-stage game in a matrix format)

a1 / a2

Low Price (L)

High Price (H)

Low Price (L)

100 100

300 0

High Price (H)

0 300

200 200

Firm 2

Firm 1

Definition: A game is:

  1. A list of players' names: Firm 1 and Firm 2
  2. A strategy set of each player (list of actions): οΏ½S1 = {Low, High} and S2 = {Low, High} οΏ½Need not always be the same for each player
  3. Payoff (Profit) functions (for each of the 4 possible outcomes)

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What is a game?

a1 / a2

Low Price (L)

High Price (H)

Low Price (L)

100 100

300 0

High Price (H)

0 300

200 200

Firm 2

Firm 1

  • This game has 4 possible outcomes of this game: οΏ½(Low, Low), (Low, High), (High, Low), and (High, High)
  • The Economist's job is to predict what the market outcome would be realized
  • For that we need an "equilibrium concept"

But, there are several equilibrium concepts, that may yield different predictions! We'll discuss a few

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A powerful tool: Best-response functions

a1 / a2

Low Price (L)

High Price (H)

Low Price (L)

100 100

300 0

High Price (H)

0 300

200 200

Firm 2

Firm 1

That is, Firm 1 will choose L if Firm 2 chooses to "play" action L.

Also, Firm 1 will choose L if Firm 2 chooses action H

Remark: For our purposes, in single-stage games, a "strategy" and "action" would mean the same thing

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Dominant strategy (action) for a player οΏ½& equilibrium in dominant strategies

If Firm 1 chooses one action regardless of the action chosen by the rival firm, then Firm 1 has a dominant strategy (action)

In this game: L is a dominant strategy of Firm 1.

Also, L happens to be a dominant strategy of Firm 2.

If each player has a dominant strategy, then an equilibrium in dominant strategies exists.

Therefore, οΏ½(L, L) is an equilibrium in dominant strategies (dominant actions)

Remark: In equilibrium, each firm earns $100. However, if they were able to collude, they could earn $200 each! (Prisoner's' Dilemma)

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Non-existence of an equilibrium in dominant strategies

a1 / a2

Standard 𝛂

Standard 𝛃

Standard 𝛂

200 100

0 0

Standard 𝛃

0 300

300 200

Firm 2

Firm 1

That is, Firm 1 does not have a dominant strategy!

Hence, an equilibrium in dominant strategies does not exist!

Remark: We don't even have to look at Firm 2. If one firm does not have a dominant strategy, then an equilibrium does not exist

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Iterative deletion of dominated strategies

a1 / a2

Standard 𝛂

Standard 𝛃

Standard 𝛂

200 100

0 0

Standard 𝛃

0 300

300 200

Firm 2

Firm 1

The above game does not have an equilibrium in dominant strategies. Does this mean that we cannot make any prediction? Still, we can if we delete Firm 2' dominated action (standard 𝛃)

In the "remaining" game, Firm 1 chooses Standard 𝛂, so (𝛂,𝛂) is our prediction

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Nash equilibrium

a1 / a2

Standard 𝛂

Standard 𝛃

Standard 𝛂

200 100

0 0

Standard 𝛃

0 300

300 400

Firm 2

Firm 1

A Nash equilibrium (NE) is an outcome that "lies" on the BR function of each player

This game has 2 NE outcomes: (𝛂, 𝛂) and (𝛃, 𝛃) [compatibility]

Intuitively, a player cannot increase his payoff by deviating given that no one else deviates

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A Nash equilibrium does not always exist (standardization game)

a1 / a2

Standard 𝛂

Standard 𝛃

Standard 𝛂

200 100

0 200

Standard 𝛃

0 300

300 200

Firm 2

Firm 1

A Nash equilibrium (NE) does not exist

Intuitively, firm 1 seeks standard compatibility whereas firm 2 wants to operate on a different standard

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A Nash equilibrium does not always exist (penalty kicks in soccer)

a1 / a2

Dive Left

Dive Right

Kick Left

0 1

1 0

Kick Right

1 0

0 1

Goalie

Kicker

Players may use mixed strategies: Kickers will kick left with probability Β½. Goalie will dive left with probability Β½.

Using BR functions show that a Nash equilibrium does not exist

See also: Chiappori, Levitt, & Groseclose. β€œTesting Mixed-Strategy Equilibria When Players Are Heterogeneous: The Case of Penalty Kicks in Soccer.” American Economic Review, 2002.

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The Prisoner's' Dilemma: Example

a1 / a2

Low Price (L)

High Price (H)

Low Price (L)

100 100

300 0

High Price (H)

0 300

200 200

Firm 2

Firm 1

(L,L) is an equilibrium in dominant strategies (hence, also NE)

However, colluding on (H,H) would yield higher profit to each player! That is, (H,H) Pareto dominates (L,L).

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The Prisoner's' Dilemma: General formulation

a1 / a2

Cooperate

Defect

Cooperate

a a

c b

Defect

b c

d d

Player 2

Player 1

Let b > a > d > c, so that (Defect,Defect) is a NE, but both players could be made better off under (Cooperate, Cooperate)

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Multistage games: Two types

  1. Simultaneous moves: The same game (say, the single-stage prisoner's dilemma) is repeated more than once:
    1. Finitely-many times, or
    2. infinitely-many times
  2. Sequential moves: Players take turns after observing the rival's play: Examples: Chess, Checkers

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Multistage (sequential moves) game: The Ultimatum Game: Playing for real !!!

There are 6 candy bars on the table.

Two-stage (two-player) game. Instructions:οΏ½

  1. Player 1: Divide the bars: Make an offer of X to player 2 οΏ½(6 βˆ’ X for yourself), whereοΏ½
  2. Player 2: Choose between: Agree or Disagree

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Location models of the linear city

  • We simplify today's discussion by assuming that prices are fixed at P (not a price game, as in Hotelling (1929))
  • 2 shops (A & B) located somewhere on the interval [0, 1]
  • Continuum of buyers residing uniformly on [0, 1]
  • Given equal prices, consumers shop at the store (rest

Class discussion: Given fixed (say, regulated ) prices ($P), where would shop A and shop B choose to located in a simultaneous-moves game?

0

1

A

B

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Location models of the linear city

Answer: If both stores are 'forced' to charge the same price, P, then they will located as close as possible to each other at the city's midpoint

0

1

B

A

Β½

B's market share

A's market share

Very important remark: If stores can set their own prices, stores will find it profitable to move away from each other to create product differentiation!