Economics of Conflict, War, and Peace

Slides:



Advertisements
Similar presentations
The prisoners dilemma and international trade: Tariffs and the potential for trade wars.
Advertisements

Oligopoly.
Game Theory Assignment For all of these games, P1 chooses between the columns, and P2 chooses between the rows.
1 Game Theory. 2 Definitions Game theory -- formal way to analyze interactions among a group of rational agents behaving strategically Agents – players.
Chapter Twenty-Eight Game Theory. u Game theory models strategic behavior by agents who understand that their actions affect the actions of other agents.
Game Theory and Terrorism Evaluating Policy Responses.
Multi-player, non-zero-sum games
QR 38, 2/27/07 Minimax and other pure strategy equilibria I.Minimax strategies II.Cell-by-cell inspection III.Three players IV.Multiple equilibria or no.
Today: Some classic games in game theory
The Iraq War and the Bush Doctrine: Embarrassment to U.S. Foreign Policy or the Rational Choice?
Introduction to Game Theory and Strategic Interactions.
Strategic Management/ Business Policy
Monetary Economics Game and Monetary Policymaking.
Economic Foundations of Strategy Power Point Set #4.
THE “CLASSIC” 2 x 2 SIMULTANEOUS CHOICE GAMES Topic #4.
Chapters 29 and 30 Game Theory and Applications. Game Theory 0 Game theory applied to economics by John Von Neuman and Oskar Morgenstern 0 Game theory.
Chapter 5 Game Theory and the Tools of Strategic Business Analysis.
CHAPTER 15 Oligopoly PowerPoint® Slides by Can Erbil © 2004 Worth Publishers, all rights reserved.
Oligopolies & Game Theory
1 GAME THEORY AND OLIGOPOLY l Principles of Microeconomic Theory, ECO 284 l John Eastwood l CBA 247 l l address:
1 What is Game Theory About? r Analysis of situations where conflict of interests is present r Goal is to prescribe how conflicts can be resolved 2 2 r.
Chapters 29 and 30 Game Theory and Applications. Game Theory 0 Game theory applied to economics by John Von Neuman and Oskar Morgenstern 0 Game theory.
Intermediate Microeconomics Game Theory. So far we have only studied situations that were not “strategic”. The optimal behavior of any given individual.
Topics to be Discussed Gaming and Strategic Decisions
Day 9 GAME THEORY. 3 Solution Methods for Non-Zero Sum Games Dominant Strategy Iterated Dominant Strategy Nash Equilibrium NON- ZERO SUM GAMES HOW TO.
Strategic Management/ Business Policy Power Point Set #9: Game Theory and Strategy.
Oligopoly. Some Oligopolistic Industries Economics in Action - To get a better picture of market structure, economists often use the “four- firm concentration.
Creating Institutions to Address Externalities TMS.
1 Welcome to EC 209: Managerial Economics- Group A By: Dr. Jacqueline Khorassani Study Guide Week Ten (Sorry this week I am a little late.)
Game theory Chapter 28 and 29
Strategic Management/ Business Policy
Q 2.1 Nash Equilibrium Ben
Chapter 28 Game Theory.
Strategic Decision Making in Oligopoly Markets
Intermediate Microeconomics
Chapter 15: Game Theory: The Mathematics Lesson Plan of Competition
Strategic Management/ Business Policy
Session 2 Managing the global commons:
Oligopolies & Game Theory
11b Game Theory Must Know / Outcomes:
Introduction to Game Theory
Game theory Chapter 28 and 29
CHAPTER 12 OUTLINE Monopolistic Competition Oligopoly Price Competition Competition versus Collusion: The Prisoners’ Dilemma 12.5.
Co-operate or cheat: beyond individual choice
Managerial Economics Kyle Anderson
Oligopoly & Game Theory Lecture 27
Economics of Conflict, War, and Peace
Oligopolies & Game Theory
THE ECONOMY: THE CORE PROJECT
BEC 30325: MANAGERIAL ECONOMICS
Unit 4 SOCIAL INTERACTIONS.
Strategic Management/ Business Policy
11b – Game Theory This web quiz may appear as two pages on tablets and laptops. I recommend that you view it as one page by clicking on the open book icon.
Economics of Conflict, War, and Peace
Learning 6.2 Game Theory.
LECTURE 6: MULTIAGENT INTERACTIONS
Managerial Economics Kyle Anderson
Chapter 30 Game Applications.
Power Point Set 9c: Game Theory and Strategy
Economic Foundations of Strategy
Game Theory and Strategic Play
Economics of Organization
Molly W. Dahl Georgetown University Econ 101 – Spring 2009
Economics of Conflict, War, and Peace
Chapter 15: Game Theory: The Mathematics Lesson Plan of Competition
Lecture Game Theory.
Strategic Management/ Business Policy
Game Theory: The Nash Equilibrium
Presentation transcript:

Economics of Conflict, War, and Peace 15/01/61 Economics of Conflict, War, and Peace Prof. Dr. Jurgen Brauer; Summer 2009 Chulalongkorn University; Bangkok, Thailand Session 3.4 Manpower: terrorists, bandits, criminals

Manpower: nonstate forces/terrorism In this session, we continue to deal with terrorism only … Prof. J. Brauer; Summer 2009 Chulalongkorn U., Bangkok Economics of Conflict, War, and Peace Session 3.4

Manpower: nonstate forces/terrorism Review and extension [Indifference curves not drawn] Resource constraint (budget line) PTT + PNN = I (line AB) Solve for T to get T = (1/PT) – (PN/PT)N E.g., if PT is increased, the resource line pivots to CB. Thus, relative prices matter If the resource base (I) is reduced, AB shifts down to CD. Thus, total resources matter Proactive policy: reduce I and/or raise PT by retaliatory raids, preemptive attack, infiltration, seizure of financial assets, etc. Unusual insight : If PN is increased, the resource line pivots to AD. PN can be inadvertently increased by suppressing legitimate protests –gov’t in essence compels dissenters to seek non-sanctioned outlets such as T instead of NT Source: W. Enders and T. Sandler. The Political Economy of Terrorism. Cambridge, UK: Cambridge University Press, 2006, p. 86. Prof. J. Brauer; Summer 2009 Chulalongkorn U., Bangkok Economics of Conflict, War, and Peace Session 3.4

Manpower: nonstate forces/terrorism Game theory primer Dominant strategy Equilibrium Nash equilibrium: the collection of strategies (N=0, 1, 2, …) from which they is no unilateral deviation Ordinal form Walk-free = 4 (best outcome) 1 year = 3 2 years = 2 4 years = 1 (worst outcome) Source: W. Enders and T. Sandler. The Political Economy of Terrorism. Cambridge, UK: Cambridge University Press, 2006, p. 93. Prof. J. Brauer; Summer 2009 Chulalongkorn U., Bangkok Economics of Conflict, War, and Peace Session 3.4

Manpower: nonstate forces/terrorism Chicken game “Best” (=4): appear strong and drive straight ahead when the other swerves Next best (=3): both swerve and “save face” 2 = lose face, save life 1 = crash, lose life There is no dominant strategy … … but there are 2 Nash equilibria (both are better than 1,1 but there is no dynamic to make players stop at 2,4 or 4,2) … The problem is getting to the equilibrium … Intimidation; lack of credible information about the players’ commitment Disaster is likely Noncooperative outcome (coordination failure) Source: W. Enders and T. Sandler. The Political Economy of Terrorism. Cambridge, UK: Cambridge University Press, 2006, p. 95. Prof. J. Brauer; Summer 2009 Chulalongkorn U., Bangkok Economics of Conflict, War, and Peace Session 3.4

Manpower: nonstate forces/terrorism Assurance game 2 countries to decide whether to retaliate against terror Assumption: joint action required Single-player action insufficient No dominant strategy … … but 2 Nash equilibria (2,2 | 4,4) Whereas “chicken” is a simultaneous move game, “assurance” is a sequential move game Thus, if A moves first (leads), B will follow and mimick A’s move Source: W. Enders and T. Sandler. The Political Economy of Terrorism. Cambridge, UK: Cambridge University Press, 2006, p. 95. Prof. J. Brauer; Summer 2009 Chulalongkorn U., Bangkok Economics of Conflict, War, and Peace Session 3.4

Manpower: nonstate forces/terrorism Preemption game Assumptions: Public benefit = 4; private cost = 6 Resulting payoff matrix is a “prisoner’s dilemma” game Mutual inaction results 2,2 4,1 1,4 3,3 Source: W. Enders and T. Sandler. The Political Economy of Terrorism. Cambridge, UK: Cambridge University Press, 2006, p. 98. Prof. J. Brauer; Summer 2009 Chulalongkorn U., Bangkok Economics of Conflict, War, and Peace Session 3.4

Manpower: nonstate forces/terrorism n-player preemption game If i does not preempt but 2 others do, i gets a public benefit of 2x4 = 8 at cost=0 If i does preempt, its net benefits fall by 2 (benefit=4 - cost=6=-2) Dominant strategy: top row > bottom row => no preemption => free-riding For domestic terror, no free-riding option and the net gain > 0 => preemption For transnational terror … Source: W. Enders and T. Sandler. The Political Economy of Terrorism. Cambridge, UK: Cambridge University Press, 2006, p. 98. Prof. J. Brauer; Summer 2009 Chulalongkorn U., Bangkok Economics of Conflict, War, and Peace Session 3.4

Manpower: nonstate forces/terrorism … we may have an “asymmetric preemption game” Assumptions: EU cost=6; public benefit=4 US cost=6 Private benefit=8 Public benefit=4 Dominant strategy: US preempts; EU free-rides Source: W. Enders and T. Sandler. The Political Economy of Terrorism. Cambridge, UK: Cambridge University Press, 2006, p. 99. Prof. J. Brauer; Summer 2009 Chulalongkorn U., Bangkok Economics of Conflict, War, and Peace Session 3.4

Manpower: nonstate forces/terrorism 2-target deterrence game Deterrence, not preemption! Assumptions: Private benefit=6 for deterring target only Cost=4 to both targets i.e., deflection by one is costly to the other target Dominant strategy is prisoner’s dilemma and a Nash equilibrium: both targets deter => overdeterrence 2,2 4,1 1,4 3,3 Source: W. Enders and T. Sandler. The Political Economy of Terrorism. Cambridge, UK: Cambridge University Press, 2006, p. 99. Prof. J. Brauer; Summer 2009 Chulalongkorn U., Bangkok Economics of Conflict, War, and Peace Session 3.4

Manpower: nonstate forces/terrorism Deterrence or preemption? The 3 strategies case Assumptions: Deterrence public cost=4 (i.e., 4 each to both targets) Deterrence private benefit=6 for deterring target Preemption public benefit=4 to each Preemption private cost=6 for preempting target Dominant strategy and Nash equilibrium: mutual deterrence Bad outcome (a) because (-2,-2) < (0,0) < (2,2) and (b) the sum of payoffs (-2,-2 = -4) is the smallest of all possible payoff sums! Pursuit of self-interest leads to the worst possible social outcome Source: W. Enders and T. Sandler. The Political Economy of Terrorism. Cambridge, UK: Cambridge University Press, 2006, p. 102. Prof. J. Brauer; Summer 2009 Chulalongkorn U., Bangkok Economics of Conflict, War, and Peace Session 3.4

Manpower: nonstate forces/terrorism Deterrence vs preemption – asymmetric case Assumptions: Deterrence public cost=4 (i.e., 4 each to both targets) Deterrence private benefit=6 for deterring target Preemption public benefit=8 to US; 4 to EU [asymmetric] [US preempt line gains +4 for US] Preemption private cost=6 for preempting target In a simultaneous move game, the EU always deters => (-2,-2) [dominant strategy] In a sequential move game, if EU leads => (-2,-2) If US leads => either (-2,6) or (-2,-2) [2 Nash equilibria; either/or outcome] If US preemption benefits > 8 => US preempts, EU deters [definite outcome] Source: W. Enders and T. Sandler. The Political Economy of Terrorism. Cambridge, UK: Cambridge University Press, 2006, p. 103. Prof. J. Brauer; Summer 2009 Chulalongkorn U., Bangkok Economics of Conflict, War, and Peace Session 3.4

Manpower: nonstate forces/terrorism Policy implications This may explain why more-preferred targets (such as the U.S) resort to preemption while less-preferred targets (such as the EU) resort to deterrence If terrorists study game theory they can play off targets against each other Source: W. Enders and T. Sandler. The Political Economy of Terrorism. Cambridge, UK: Cambridge University Press, 2006, p. 103. Prof. J. Brauer; Summer 2009 Chulalongkorn U., Bangkok Economics of Conflict, War, and Peace Session 3.4

Manpower: nonstate forces/terrorism “Weakest-link” Assumptions: Upgrade cost=6 to each Upgrade benefit=8 when both targets update; otherwise=0 Unilateral upgrade benefit=0 No dominant strategy but 2 Nash equilibria Assurance game, which invites leadership in a sequential move game to obtain matching behavior from the follower Source: W. Enders and T. Sandler. The Political Economy of Terrorism. Cambridge, UK: Cambridge University Press, 2006, p. 105. Prof. J. Brauer; Summer 2009 Chulalongkorn U., Bangkok Economics of Conflict, War, and Peace Session 3.4

Manpower: nonstate forces/terrorism “Best-shot” Assumptions: Innovation cost=4 to each Innovation benefit=6 to both targets 2nd innovation cost=4; marginal benefit=0 No dominant strategy but 2 Nash equilibria Assurance game, which invites leadership in a sequential move game for the first innovator to go ahead and carry the cost; the others free-ride The targets must (tacitly) agree who is to go ahead and innovate Since both have incentives > 0, they compete and first-to-market “wins” Source: W. Enders and T. Sandler. The Political Economy of Terrorism. Cambridge, UK: Cambridge University Press, 2006, p. 107. Prof. J. Brauer; Summer 2009 Chulalongkorn U., Bangkok Economics of Conflict, War, and Peace Session 3.4