💰Intro to Mathematical Economics Unit 6 – Game Theory: Strategic Decision-Making

Game theory is a powerful tool for analyzing strategic decision-making in various fields. It provides a framework to understand how rational players interact, make choices, and reach equilibrium outcomes based on their available strategies and payoffs. This unit covers key concepts like Nash equilibrium, types of games, and applications in economics. It equips students with the skills to model and solve complex strategic situations, from oligopoly markets to international negotiations and environmental conservation efforts.

What's Game Theory?

  • Mathematical framework for analyzing strategic interactions between rational decision-makers
  • Studies how individuals make decisions in situations where the outcome depends on the choices of others
  • Assumes players are rational, meaning they aim to maximize their own payoffs or utilities
  • Provides a systematic approach to understanding and predicting behavior in various contexts (economics, political science, psychology, computer science)
  • Helps identify optimal strategies for players to achieve their goals
  • Considers factors such as available information, possible actions, and potential payoffs
  • Enables the analysis of complex decision-making scenarios and the identification of equilibrium outcomes

Key Concepts and Terms

  • Players: Individuals or entities involved in the game who make decisions
  • Strategies: Plans of action or choices available to each player
  • Payoffs: Outcomes or rewards associated with each combination of strategies chosen by the players
  • Rationality: Assumption that players make decisions to maximize their own payoffs
  • Common knowledge: Information that all players know, and all players know that all players know, and so on
  • Dominant strategy: A strategy that yields the highest payoff for a player, regardless of the strategies chosen by other players
  • Nash equilibrium: A situation where no player can improve their payoff by unilaterally changing their strategy, given the strategies of the other players

Players and Strategies

  • Players are the decision-makers in a game, which can be individuals, firms, or other entities
  • Each player has a set of available strategies or actions they can choose from
    • Pure strategies: A single, specific action a player can take
    • Mixed strategies: A probability distribution over a player's pure strategies
  • Players' strategies can be simultaneous (chosen at the same time) or sequential (chosen in a specific order)
  • The combination of strategies chosen by all players determines the outcome and payoffs of the game
  • Players are assumed to be rational and aim to maximize their own payoffs
  • Players may have complete or incomplete information about the game and other players' strategies

Types of Games

  • Normal-form games: Games represented by a matrix showing the payoffs for each combination of strategies
    • Also known as strategic-form games
    • Example: Prisoner's Dilemma, where two suspects must choose between confessing or remaining silent
  • Extensive-form games: Games represented by a decision tree, showing the sequence of moves and possible outcomes
    • Allows for the analysis of games with sequential moves and imperfect information
    • Example: Stackelberg competition, where a leader firm moves first, followed by a follower firm
  • Cooperative games: Games where players can form binding agreements and collaborate to achieve a common goal
    • Focus on how players can work together to create value and distribute the resulting payoffs
  • Non-cooperative games: Games where players make decisions independently and cannot form binding agreements
    • Focus on individual decision-making and the resulting equilibrium outcomes

Nash Equilibrium

  • A key concept in game theory, named after mathematician John Nash
  • Represents a stable state in a game where no player has an incentive to unilaterally change their strategy
  • In a Nash equilibrium, each player's strategy is a best response to the strategies of the other players
  • Can be pure-strategy Nash equilibrium (players choose specific actions) or mixed-strategy Nash equilibrium (players choose probability distributions over actions)
  • Nash equilibrium provides a way to predict the outcome of a game and analyze the strategic behavior of players
  • In some games, there may be multiple Nash equilibria or no Nash equilibrium at all
  • Finding Nash equilibria helps identify the most likely outcomes of a game and the strategies players should adopt

Applications in Economics

  • Game theory is widely applied in various areas of economics to analyze strategic interactions and decision-making
  • Oligopoly markets: Studying the behavior of firms in markets with a small number of competitors
    • Example: Cournot competition (firms simultaneously choose quantities) and Bertrand competition (firms simultaneously choose prices)
  • Auction theory: Analyzing the design and outcomes of different auction formats
    • Example: First-price sealed-bid auctions and second-price sealed-bid auctions
  • Bargaining and negotiation: Examining how parties can reach agreements when they have conflicting interests
    • Example: Nash bargaining solution, which maximizes the product of the players' gains from cooperation
  • Public goods and externalities: Investigating the provision of goods that benefit society as a whole and the effects of individual actions on others
    • Example: Free-rider problem in the provision of public goods
  • Mechanism design: Designing rules and incentives to achieve desired outcomes in strategic settings
    • Example: Designing auction rules to maximize revenue or achieve efficiency

Solving Game Theory Problems

  • Identify the players, their available strategies, and the payoffs associated with each combination of strategies
  • Determine the type of game (normal-form, extensive-form, cooperative, or non-cooperative)
  • If the game is in normal form, represent it using a payoff matrix
  • If the game is in extensive form, represent it using a decision tree
  • Look for dominant strategies, if any, which can simplify the analysis
  • Find the Nash equilibrium or equilibria of the game
    • In a normal-form game, find the best response for each player given the other players' strategies
    • In an extensive-form game, use backward induction to determine the subgame perfect Nash equilibrium
  • Interpret the results and draw conclusions about the strategic behavior of the players and the likely outcomes of the game
  • Consider any potential extensions or variations of the game that may provide additional insights

Real-World Examples

  • Pricing strategies in oligopolistic markets (Coca-Cola and Pepsi)
  • Advertising campaigns among competing firms (Apple and Samsung)
  • International trade negotiations between countries (US and China)
  • Arms races and military strategy (US and Soviet Union during the Cold War)
  • Voting and political competition in elections (Democrats and Republicans)
  • Bargaining between employers and unions in labor markets (United Auto Workers and General Motors)
  • Resource allocation in environmental conservation efforts (countries agreeing to reduce carbon emissions)
  • Spectrum auctions for the allocation of radio frequencies (telecom companies bidding for 5G spectrum)


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© 2024 Fiveable Inc. All rights reserved.
AP® and SAT® are trademarks registered by the College Board, which is not affiliated with, and does not endorse this website.