- Microeconomics
- Game Theory
Micro-courses:20
Game Theory
1. Introduction to Game Theory
2. Cooperative vs. Non-Cooperative Games
3. Player and Strategies
4. Zero-Sum and Non-Zero-Sum Game
5. Payoffs
6. Dominant and Dominated Strategies
7. Equilibrium in Dominant Strategies
8. Prisoner's Dilemma I
9. Prisoner's Dilemma II
10. Nash Equilibrium in One-Period Games
11. Multiple Equilibria
12. Mixed Strategies
13. The Maximin Strategy I
14. The Maximin Strategy II
15. Finitely Repeated Games
16. Infinitely Repeated Games
17. Sequential Games
18. Sequential Game: Backward Induction
19. Strategic Moves: Side Payments
20. Commitment
21. Entry Deterrence: Credibility Applied
22. Reputation
Game theory examines strategic decision making situations where individual outcomes depend on the collective choices of all participants. This comprehensive course covers fundamental concepts through real-world applications, from competing businesses and market dynamics to political negotiations and resource allocation scenarios commonly seen in the US economy. Master these analytical frameworks with JoVE Coach's structured approach to understanding strategic interactions.
- Understand the fundamental principles of strategic decision making in competitive environments
- Identify different types of games including zero-sum, non-zero-sum, and cooperative scenarios
- Analyze player strategies using payoff matrices and decision trees
- Learn to recognize and calculate Nash equilibrium in various game situations
- Explore the prisoner's dilemma and its applications in business and policy
- Apply dominant and dominated strategy concepts to real-world scenarios
- Understand mixed strategies and when players should randomize their decisions
- Analyze sequential games using backward induction methods
- Examine repeated games and how they influence long-term strategic behavior
- Apply game theory concepts to market entry, pricing decisions, and competitive analysis
1. Foundations of Strategic Decision Making Game theory provides a mathematical framework for analyzing situations where multiple decision-makers interact strategically. Unlike simple optimization problems, game theory recognizes that optimal choices depend on what others do. Consider two major retailers like Target and Walmart deciding on Black Friday pricing strategies. Each store must anticipate competitor responses when setting prices, as their success depends not just on their own strategy but on how competitors react. This interdependence creates the strategic complexity that game theory helps analyze, making it essential for understanding everything from corporate competition to international trade negotiations.
2. Players, Strategies, and Payoff Structures Every strategic situation involves players (decision-makers), strategies (available actions), and payoffs (outcomes). Players can be individuals, companies, or even countries. Strategies may be pure (choosing one specific action) or mixed (randomizing between options). For instance, when Netflix and Disney+ compete for subscribers, each platform represents a player. Their strategies include content investment levels, pricing tiers, and release schedules. Payoffs measured in subscriber growth, revenue, or market share depend on both companies' strategic choices. Understanding these fundamental components allows systematic analysis of any competitive situation.
3. Nash Equilibrium and Strategic Stability Nash equilibrium occurs when each player chooses their best response to others' strategies, creating stability where no one benefits from unilateral deviation. In the classic prisoner's dilemma, two suspects face interrogation separately. Despite mutual cooperation yielding better collective outcomes, individual incentives lead both to confess, creating a stable but suboptimal equilibrium. This concept explains why gas stations on the same intersection often charge similar prices, why countries engage in arms races, and why students might not collaborate even when cooperation would benefit everyone. Nash equilibrium predicts outcomes in strategic interactions across economics, politics, and social situations.
4. Dominant Strategies and Strategic Elimination Dominant strategies always provide the best payoff regardless of opponents' choices, simplifying decision-making considerably. When McDonald's decides whether to introduce healthier menu options, if customer research shows health-conscious choices always increase profits regardless of competitor actions, this becomes a dominant strategy. Conversely, dominated strategies never optimal and can be eliminated from consideration. This process of iterative elimination helps solve complex games by progressively removing inferior options until clear strategic paths emerge, making it a powerful analytical tool for business strategy and policy analysis.
5. Zero-Sum vs Non-Zero-Sum Games Zero-sum games feature fixed total payoffs where one player's gain equals another's loss, like poker or sports competitions. However, most real-world situations are non-zero-sum, allowing mutual benefit or shared losses. When Apple and Samsung compete in smartphones, their success isn't purely at each other's expense both can profit by expanding the overall market or developing complementary technologies. Trade agreements between countries typically create positive-sum outcomes where both nations benefit. Understanding this distinction helps identify opportunities for cooperation versus pure competition, influencing everything from business partnerships to international diplomacy strategies.
6. Sequential Games and Backward Induction Sequential games involve players moving in order, with later players observing earlier actions before deciding. Backward induction solves these games by working backward from final decisions to determine optimal strategies throughout. Consider Amazon's decision to enter a new market, followed by existing competitors choosing whether to fight or accommodate entry. By anticipating how competitors will respond to entry, Amazon can make better initial decisions. This analysis method proves crucial for understanding market entry strategies, investment timing, negotiation tactics, and any situation where the sequence of moves matters strategically.
7. Repeated Games and Long-Term Strategy When strategic interactions repeat over time, players must consider long-term consequences of current actions, often enabling cooperation that wouldn't occur in single-shot games. Airlines on the same routes face repeated pricing decisions. While cutting prices might temporarily steal customers, it often triggers price wars that hurt everyone. Through repeated interaction, airlines learn to maintain higher prices, understanding that short-term gains from price cuts are outweighed by long-term losses from retaliation. This explains how cooperation emerges in many business relationships, international agreements, and social situations despite short-term incentives to compete aggressively.
Frequently Asked Questions
A dominant strategy is always best regardless of what opponents do, while Nash equilibrium occurs when everyone plays their best response to others' actual strategies. All dominant strategy equilibria are Nash equilibria, but not all Nash equilibria involve dominant strategies. For example, in pricing competition, lowering prices might be dominant if it always increases profits, but Nash equilibrium could involve mixed strategies where firms randomize their pricing decisions.
The prisoner's dilemma explains many scenarios where individual rational behavior leads to collectively poor outcomes. Examples include countries engaging in trade wars (both lose from tariffs but fear being disadvantaged), students not sharing study resources (everyone benefits from collaboration but fears others won't reciprocate), or companies engaging in price wars that reduce everyone's profits. The dilemma illustrates why cooperation often requires external enforcement or repeated interaction.
Yes, game theory is standard content in AP Microeconomics, covering basic concepts like Nash equilibrium, prisoner's dilemma, and dominant strategies. College economics courses expand to include sequential games, repeated games, and mixed strategies. Business school programs apply these concepts to competitive strategy, negotiations, and market analysis. MCAT behavioral sciences sections may include game theory applications to decision-making and social interactions.
Mixed strategies become optimal when no pure strategy Nash equilibrium exists, typically in situations requiring unpredictability. Examples include penalty kicks in soccer (kickers and goalies must randomize direction), security screening (random checks deter violations), or competitive bidding (predictable bidding patterns can be exploited). Mixed strategies work by keeping opponents uncertain, preventing them from gaining strategic advantages through prediction.
Multiple equilibria occur when several strategy combinations represent stable outcomes where no player wants to deviate. Check each cell in the payoff matrix to see if both players are playing best responses. For example, when two companies choose between different product standards, equilibria might exist where both adopt the same standard, but it's unclear which one they'll coordinate on. This coordination problem requires additional mechanisms like communication or leadership to resolve.
Basic game theory requires only arithmetic and logical reasoning, making it accessible to high school students. You'll work with payoff matrices, compare numbers, and follow logical reasoning chains. Advanced topics like mixed strategy calculations involve basic probability and algebra. The conceptual understanding matters more than mathematical complexity. Start with simple examples and gradually build to more complex scenarios as your intuition develops.
Practice with real-world examples rather than memorizing abstract definitions. Create your own payoff matrices for situations you understand (sports, social media, shopping decisions). Work through problems step-by-step, always asking "what would I do if I were this player?" Use backward induction for sequential games, and check your answers by verifying that players are making best responses. Drawing decision trees and payoff matrices helps visualize strategic interactions clearly.
Game theory appears throughout social sciences, biology, and computer science. Political scientists use it to analyze voting, coalition formation, and international relations. Evolutionary biologists study animal behavior and survival strategies. Computer scientists apply game theory to network security, algorithm design, and artificial intelligence. Even everyday situations like choosing restaurant locations, social media posting strategies, or household chore allocation can be understood through game theory frameworks.
This microcourse includes 22 concept videos that walk you through the building blocks of Microeconomics. Each video is short, about 1 minute, so you can cover a full topic during a coffee break or between classes. The full sequence starts with Introduction to Game Theory and ends with Reputation.
The playlist moves from big-picture ideas to the precise vocabulary used in Microeconomics. Early videos introduce Introduction to Game Theory, Cooperative vs. Non-Cooperative Games, and Player and Strategies. The middle of the series focuses on Payoffs, Dominant and Dominated Strategies, and Equilibrium in Dominant Strategies. The final stretch covers Prisoner's Dilemma I, Prisoner's Dilemma II, Nash Equilibrium in One-Period Games, Multiple Equilibria, Mixed Strategies, The Maximin Strategy I, and Reputation.
The natural next step is Behavioral Economics. From there, you can move to Uncertainty. Once you finish those, the full Microeconomics curriculum of 20 microcourses on JoVE Coach opens up, taking you from foundational concepts to advanced systems.
Related Subjects
