All Study Guides Game Theory and Economic Behavior Unit 15
🆚 Game Theory and Economic Behavior Unit 15 – Game Theory in Economics and BusinessGame theory explores strategic decision-making in economics and business. It analyzes how rational players interact, considering strategies, payoffs, and equilibria. From static to dynamic games, perfect to imperfect information, game theory provides tools to understand complex interactions.
Applications range from oligopoly models and auction design to behavioral insights and evolutionary dynamics. Game theory helps businesses make strategic choices, anticipate competitors' actions, and navigate market dynamics. Real-world examples showcase its relevance in diverse fields.
Key Concepts and Definitions
Game theory studies strategic interactions between rational decision-makers
Players are the individuals or entities making decisions in a game
Strategies are the complete plans of action available to each player
Payoffs represent the outcomes or rewards for each player based on the strategies chosen
Zero-sum games have a fixed total payoff that is divided among the players (Poker)
In constant-sum games, the sum of all players' payoffs is always the same regardless of their strategies
Non-zero-sum games allow for outcomes where all players can gain or lose simultaneously (Prisoner's Dilemma)
Cooperative games involve players forming coalitions and making binding agreements
Non-cooperative games do not allow for enforceable contracts or agreements between players
Game Types and Structures
Static games are played simultaneously, with players making decisions without knowledge of others' choices (Rock-Paper-Scissors)
Dynamic games involve sequential decision-making, where players take turns and can observe previous actions (Chess)
Perfect information games provide all players with complete knowledge of the game's structure and previous moves (Tic-Tac-Toe)
In these games, there is no hidden information, and all players are aware of the possible strategies and payoffs
Imperfect information games involve uncertainty about the game's structure, payoffs, or other players' actions (Poker)
Symmetric games have identical strategies and payoffs for all players
Asymmetric games have different strategies, payoffs, or information available to each player (Ultimatum Game)
Repeated games consist of the same game being played multiple times, allowing for learning and strategic adaptation
Nash Equilibrium and Strategic Thinking
Nash equilibrium is a set of strategies where no player can improve their payoff by unilaterally changing their strategy
In a Nash equilibrium, each player's strategy is a best response to the strategies of the other players
Dominant strategy is the best choice for a player regardless of the strategies chosen by other players
Dominated strategy is always inferior to another strategy, regardless of other players' actions
Iterated elimination of dominated strategies involves repeatedly removing dominated strategies to simplify the game
Mixed strategies involve playing different pure strategies with certain probabilities
In a mixed strategy Nash equilibrium, players randomize their strategies to make others indifferent between their own strategies
Backward induction is used to solve dynamic games by starting at the end and working backwards to determine optimal strategies
Applications in Economics
Oligopoly models use game theory to analyze markets with a small number of firms (Cournot, Bertrand)
Cournot competition involves firms simultaneously choosing quantities, while Bertrand competition focuses on price-setting
Auction theory applies game theory to design and analyze different auction formats (First-price sealed-bid, Second-price sealed-bid)
Bargaining theory examines how players negotiate and divide a surplus (Nash Bargaining Solution)
Matching markets use game theory to study the stable allocation of resources, such as in college admissions or organ donations
Public goods provision can be modeled as a game, highlighting the free-rider problem and the need for cooperation
Mechanism design aims to create rules and incentives that lead to desired outcomes, considering players' strategic behavior
Business Strategy and Decision Making
Game theory helps businesses make strategic decisions by anticipating competitors' actions and reactions
Entry deterrence strategies aim to prevent new competitors from entering a market (Limit pricing, Capacity expansion)
Predatory pricing involves temporarily lowering prices to drive out competitors and establish market dominance
Product differentiation can be analyzed using game theory to understand how firms position their products relative to competitors
Pricing strategies, such as price discrimination and dynamic pricing, can be modeled as games between firms and consumers
Cooperation and collusion among firms can be studied using game theory, considering the incentives for cheating and the role of repeated interactions
Strategic investments, such as research and development or capacity expansion, can be evaluated using game-theoretic frameworks
Behavioral Game Theory
Behavioral game theory incorporates insights from psychology and behavioral economics into traditional game theory models
Bounded rationality recognizes that players may have limited cognitive abilities and use simple heuristics to make decisions
Prospect theory suggests that people evaluate gains and losses differently, leading to risk aversion and framing effects
Fairness and reciprocity can influence players' behavior, even when it deviates from purely self-interested strategies (Ultimatum Game)
Learning and adaptation can be incorporated into game theory models to study how players adjust their strategies over time
Emotions, such as anger or trust, can affect players' decision-making and the outcomes of games
Social norms and cultural factors can shape players' expectations and behavior in strategic interactions
Advanced Topics and Extensions
Evolutionary game theory studies the dynamics of strategy adoption and the stability of equilibria in populations (Hawk-Dove Game)
Replicator dynamics describe how the frequency of strategies changes over time based on their relative payoffs
Stochastic games involve transitions between different states, with players' actions influencing the probability of moving to each state
Bayesian games incorporate incomplete information, where players have different types or private information (Auctions)
Cooperative game theory focuses on coalition formation and the distribution of payoffs among players (Shapley value)
Algorithmic game theory combines game theory with computer science to study computational aspects of strategic interactions
Dynamic mechanism design extends mechanism design to settings with evolving information and multiple stages
Mean field game theory analyzes strategic interactions in large populations, where individual players have negligible impact on others
Real-World Examples and Case Studies
Prisoner's Dilemma has been used to study cooperation and defection in various contexts, from international relations to business partnerships
Tragedy of the Commons illustrates the depletion of shared resources when individuals prioritize their own interests (Overfishing)
Auction design has been applied to allocate scarce resources, such as radio spectrum licenses and online advertising slots
Matching algorithms, based on game theory, have been used in school choice programs and medical residency assignments
Bargaining theory has been applied to labor negotiations, international trade agreements, and mergers and acquisitions
Voting systems and political campaigns can be analyzed using game theory to understand strategic behavior and outcomes
Network formation and social media platforms can be studied using game theory to examine the incentives for creating and severing connections