🆚Game Theory and Economic Behavior Unit 5 – Sequential Games & Subgame Equilibrium

Sequential games involve players making decisions in a specific order, with each aware of previous actions. These games are represented using game trees, showing decision points and payoffs. Backward induction and subgame perfect equilibrium are key concepts for solving these games. Understanding sequential games is crucial for analyzing strategic interactions in economics, business, and politics. Real-world applications include Stackelberg competition, bargaining scenarios, and political campaigns. Common pitfalls include assuming equal rationality and neglecting credible threats.

Key Concepts

  • Sequential games involve players making decisions in a specific order, with each player aware of the previous player's actions
  • Players have perfect information about the game structure and payoffs, allowing them to make informed decisions
  • Extensive form representation uses a game tree to illustrate the sequence of moves, decision points, and payoffs
  • Backward induction is a solution concept used to determine the subgame perfect equilibrium by reasoning backwards from the end of the game
  • Subgame perfect equilibrium ensures that players' strategies constitute a Nash equilibrium in every subgame of the original game
    • This concept eliminates non-credible threats and ensures rational decision-making at every stage
  • Payoff structure determines the incentives and outcomes for each player based on their decisions and the decisions of others
  • First-mover advantage refers to the potential benefit gained by the player who makes the first move in a sequential game (Stackelberg competition)

Types of Sequential Games

  • Perfect information games where players have complete knowledge of all previous moves and payoffs (Chess, Go)
  • Imperfect information games involve some level of uncertainty about previous moves or payoffs (Poker, Bridge)
    • Players may not have full knowledge of the other players' actions or the game's history
  • Finite horizon games have a fixed number of moves or a predetermined endpoint (Ultimatum game, Dictator game)
  • Infinite horizon games have no predetermined endpoint and can potentially continue indefinitely (Repeated Prisoner's Dilemma)
  • Stackelberg games involve a leader-follower dynamic, where one player makes a decision, and the other player responds (Quantity leadership, Price leadership)
  • Signaling games involve one player sending a signal to another player, who then takes an action based on the interpretation of the signal (Job market signaling, Advertising)

Game Tree Representation

  • Game trees visually represent the structure and sequence of moves in a sequential game
  • Nodes represent decision points for players, while edges represent the actions available at each decision point
  • Terminal nodes indicate the endpoints of the game and specify the payoffs for each player based on the sequence of actions taken
  • Subgames are smaller portions of the game tree that can be analyzed independently using backward induction
    • Subgames must have a single initial node and contain all successive nodes and edges
  • Information sets are used in imperfect information games to group together nodes where a player cannot distinguish between different game histories
  • Payoffs are typically represented as a tuple or vector at each terminal node, specifying the outcomes for each player (e.g., (2, 1) for a two-player game)

Backward Induction

  • Backward induction is an algorithmic approach to solving sequential games and determining the subgame perfect equilibrium
  • The process begins at the terminal nodes of the game tree and works backwards to the initial decision point
  • At each decision point, the player making the decision chooses the action that maximizes their payoff, assuming that all subsequent players will also make optimal decisions
    • This assumes that players are rational and have perfect information about the game structure and payoffs
  • The resulting strategy profile determined by backward induction constitutes the subgame perfect equilibrium of the game
  • Backward induction can be applied to finite horizon games with perfect information, ensuring that players make optimal decisions at every stage
  • The process helps identify and eliminate non-credible threats, as it assumes that players will make rational decisions in every subgame

Subgame Perfect Equilibrium

  • Subgame perfect equilibrium (SPE) is a refinement of the Nash equilibrium concept for sequential games
  • In an SPE, players' strategies must constitute a Nash equilibrium in every subgame of the original game
    • This means that no player has an incentive to deviate from their strategy at any decision point, assuming that all other players also play their equilibrium strategies
  • SPE eliminates non-credible threats and ensures that players make rational decisions at every stage of the game
  • To find the SPE, backward induction is applied to the game tree, starting from the terminal nodes and working backwards to the initial decision point
  • In games with multiple Nash equilibria, the SPE helps select the most plausible and rational outcome
    • It eliminates equilibria that rely on non-credible threats or irrational behavior in subgames
  • SPE is a stronger solution concept than Nash equilibrium, as it requires stability in every subgame, not just the overall game

Strategies and Outcomes

  • Strategies in sequential games specify a complete plan of action for each player, detailing the moves they will make at every decision point
  • Pure strategies indicate a specific action to be taken at each decision point, while mixed strategies assign probabilities to different actions
  • Strategy profiles are combinations of strategies chosen by each player in a game, determining the outcome and payoffs
  • Outcomes are the results of the game based on the strategies employed by the players, typically represented as payoffs or utilities
  • Dominant strategies are those that provide a player with the highest payoff regardless of the strategies chosen by other players
    • Games with dominant strategies for all players have a unique Nash equilibrium
  • Cooperative outcomes can be achieved when players have the ability to communicate and make binding agreements (Collusion in oligopolies)
  • Non-cooperative outcomes arise when players make decisions independently, without the ability to make binding agreements (Price wars, Advertising campaigns)

Real-World Applications

  • Sequential games have numerous applications in economics, business, and political science
  • Stackelberg competition models market situations where a leader firm makes a decision (quantity or price), and follower firms respond (Cournot duopoly, Bertrand duopoly)
  • Bargaining and negotiation scenarios often involve sequential decision-making, with parties making offers and counteroffers (Labor negotiations, International treaties)
  • Sequential auctions, such as English auctions and Dutch auctions, can be analyzed using sequential game theory (Art auctions, Government procurement)
  • Principal-agent problems, such as contract design and incentive structures, can be modeled as sequential games (Executive compensation, Regulation of monopolies)
  • Political campaigns and electoral competition often involve sequential decision-making by candidates and voters (Campaign spending, Voter turnout)

Common Pitfalls and Misconceptions

  • Assuming that all players have the same level of rationality or access to information can lead to incorrect predictions
    • Players may have different cognitive abilities, biases, or information sets that affect their decision-making
  • Failing to consider the credibility of threats or promises can result in overestimating the likelihood of certain outcomes
    • Non-credible threats should be eliminated using backward induction and subgame perfect equilibrium
  • Focusing solely on the overall game and ignoring the stability of subgames can lead to selecting equilibria that are not plausible or rational
    • Subgame perfect equilibrium ensures that players make optimal decisions in every subgame
  • Neglecting the potential for communication, cooperation, or collusion among players can overlook important strategic considerations
    • In some cases, players may have incentives to cooperate or make binding agreements that alter the game's outcome
  • Overreliance on simplified models or assumptions may not capture the full complexity of real-world situations
    • Factors such as incomplete information, bounded rationality, and psychological biases can influence decision-making in ways that deviate from standard game-theoretic predictions


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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.