Upload
194,409

Subscription preferences

Loading...

Loading icon
Loading...

Working...

Yale University Courses

Game Theory with Ben Polak

Loading...
  1. 1

    1. Introduction: five first lessons

    by YaleCourses 307,519 views

    Game Theory (ECON 159)

    We introduce Game Theory by playing a game. We organize the game into players, their strategies, and their goals or payoffs; and we learn that we should decide what our goals are before we make choices. With some plausible payoffs, our game is a prisoners' dilemma. We learn that we should never choose a dominated strategy; but that rational play by rational players can lead to bad outcomes. We discuss some prisoners' dilemmas in the real world and some possible real-world remedies. With other plausible payoffs, our game is a coordination problem and has very different outcomes: so different payoffs matter. We often need to think, not only about our own payoffs, but also others' payoffs. We should put ourselves in others' shoes and try to predict what they will do. This is the essence of strategic thinking.

    00:00 - Chapter 1. What Is Strategy?
    02:16 - Chapter 2. Strategy: Where Does It Apply?
    02:54 - Chapter 3. (Administrative Issues)
    09:40 - Chapter 4. Elements of a Game: Strategies, Actions, Outcomes and Payoffs
    21:38 - Chapter 5. Strictly Dominant versus Strictly Dominated Strategies
    29:33 - Chapter 6. Contracts and Collusion
    33:35 - Chapter 7. The Failure of Collusion and Inefficient Outcomes: Prisoner's Dilemma
    41:40 - Chapter 8. Coordination Problems
    01:07:53 - Chapter 9. Lesson Recap

    Complete course materials are available at the Open Yale Courses website: http://open.yale.edu/courses

    This course was recorded in Fall 2007.

  2. 2

    2. Putting yourselves into other people's shoes

    by YaleCourses 89,079 views

    Game Theory (ECON 159)

    At the start of the lecture, we introduce the "formal ingredients" of a game: the players, their strategies and their payoffs. Then we return to the main lessons from last time: not playing a dominated strategy; and putting ourselves into others' shoes. We apply these first to defending the Roman Empire against Hannibal; and then to picking a number in the game from last time. We learn that, when you put yourself in someone else's shoes, you should consider not only their goals, but also how sophisticated are they (are they rational?), and how much do they know about you (do they know that you are rational?). We introduce a new idea: the iterative deletion of dominated strategies. Finally, we discuss the difference between something being known and it being commonly known.

    00:00 - Chapter 1. Recap of Previous Lecture: Prisoners' Dilemma and Payoffs
    06:47 - Chapter 2. The Formal Ingredients of a Game
    16:01 - Chapter 3. Weakly Dominant Strategies
    35:29 - Chapter 4. Rationality and Common Knowledge
    01:05:37 - Chapter 5. Common Knowledge vs. Mutual Knowledge

    Complete course materials are available at the Open Yale Courses website: http://open.yale.edu/courses

    This course was recorded in Fall 2007.

  3. 3

    3. Iterative deletion and the median-voter theorem

    by YaleCourses 45,087 views

    Game Theory (ECON 159)

    We apply the main idea from last time, iterative deletion of dominated strategies, to analyze an election where candidates can choose their policy positions. We then consider how good is this classic model as a description of the real political process, and how we might build on it to improve it. Toward the end of the class, we introduce a new idea to get us beyond iterative deletion. We think about our beliefs about what the other player is going to do, and then ask what is the best strategy for us to choose given those beliefs?

    00:00 - Chapter 1. Iterative Deletion of Dominated Strategies: The Median Voter Theorem
    27:25 - Chapter 2. Iterative Deletion of Dominated Strategies: Problems with The Median Voter Theorem
    35:07 - Chapter 3. Iterative Deletion of Dominated Strategies: Robustness of The Median Voter Theorem
    39:11 - Chapter 4. Best Response

    Complete course materials are available at the Open Yale Courses website: http://open.yale.edu/courses

    This course was recorded in Fall 2007.

  4. 4

    4. Best responses in soccer and business partnerships

    by YaleCourses 43,003 views

    Game Theory (ECON 159)

    We continue the idea (from last time) of playing a best response to what we believe others will do. More particularly, we develop the idea that you should not play a strategy that is not a best response for any belief about others' choices. We use this idea to analyze taking a penalty kick in soccer. Then we use it to analyze a profit-sharing partnership. Toward the end, we introduce a new notion: Nash Equilibrium.

    00:00 - Chapter 1. Best Response: Penalty Kicks in Soccer
    15:14 - Chapter 2. Best Response: Issues with the Penalty Kick Model
    24:06 - Chapter 3. Best Response: Formal Definition
    29:59 - Chapter 4. Externalities and Inefficient Outcomes: The Partnership Game
    01:07:23 - Chapter 5. Nash Equilibrium: Preview

    Complete course materials are available at the Open Yale Courses website: http://open.yale.edu/courses

    This course was recorded in Fall 2007.

  5. 5

    5. Nash equilibrium: bad fashion and bank runs

    by YaleCourses 58,092 views

    Game Theory (ECON 159)

    We first define formally the new concept from last time: Nash equilibrium. Then we discuss why we might be interested in Nash equilibrium and how we might find Nash equilibrium in various games. As an example, we play a class investment game to illustrate that there can be many equilibria in social settings, and that societies can fail to coordinate at all or may coordinate on a bad equilibrium. We argue that coordination problems are common in the real world. Finally, we discuss why in such coordination problems--unlike in prisoners' dilemmas--simply communicating may be a remedy.

    00:00 - Chapter 1. Nash Equilibrium: Definition
    09:31 - Chapter 2. Nash Equilibrium: Examples
    23:13 - Chapter 3. Nash Equilibrium: Relation to Dominance
    31:53 - Chapter 4. Pareto Efficient Equilibria in Coordination Games: The Investment Game
    53:11 - Chapter 5. Pareto Efficient Equilibria in Coordination Games: Other Examples

    Complete course materials are available at the Open Yale Courses website: http://open.yale.edu/courses

    This course was recorded in Fall 2007.

  6. 6

    6. Nash equilibrium: dating and Cournot

    by YaleCourses 72,166 views

    Game Theory (ECON 159)

    We apply the notion of Nash Equilibrium, first, to some more coordination games; in particular, the Battle of the Sexes. Then we analyze the classic Cournot model of imperfect competition between firms. We consider the difficulties in colluding in such settings, and we discuss the welfare consequences of the Cournot equilibrium as compared to monopoly and perfect competition.

    00:00 - Chapter 1. Coordination Games: Scope for Leadership and Strategic Complements
    04:59 - Chapter 2. Coordination Games: The Battle of the Sexes
    18:37 - Chapter 3. Cournot Duopoly: Math
    53:28 - Chapter 4. Cournot Duopoly: Real World Examples

    Complete course materials are available at the Open Yale Courses website: http://open.yale.edu/courses

    This course was recorded in Fall 2007.

  7. 7

    7. Nash equilibrium: shopping, standing and voting on a line

    by YaleCourses 26,766 views

    Game Theory (ECON 159)

    We first consider the alternative "Bertrand" model of imperfect competition between two firms in which the firms set prices rather than setting quantities. Then we consider a richer model in which firms still set prices but in which the goods they produce are not identical. We model the firms as stores that are on either end of a long road or line. Customers live along this line. Then we return to models of strategic politics in which it is voters that are spread along a line. This time, however, we do not allow candidates to choose positions: they can only choose whether or not to enter the election. We play this "candidate-voter game" in the class, and we start to analyze both as a lesson about the notion of equilibrium and a lesson about politics.

    00:00 - Chapter 1. Bertrand Duopoly: Standard Model
    28:18 - Chapter 2. Bertrand Duopoly: Product Differentiation
    40:13 - Chapter 3. Perfect Competition Revisited: The Candidate Voter Model

    Complete course materials are available at the Open Yale Courses website: http://open.yale.edu/courses

    This course was recorded in Fall 2007.

  8. 8

    8. Nash equilibrium: location, segregation and randomization

    by YaleCourses 19,880 views

    Game Theory (ECON 159)

    We first complete our discussion of the candidate-voter model showing, in particular, that, in equilibrium, two candidates cannot be too far apart. Then we play and analyze Schelling's location game. We discuss how segregation can occur in society even if no one desires it. We also learn that seemingly irrelevant details of a model can matter. We consider randomizations first by a central authority (such as in a bussing policy), and then decentralized randomization by the individuals themselves, "mixed strategies." Finally, we look at rock, paper, scissors to see an example of a mixed-strategy equilibrium to a game.

    00:00 - Chapter 1. Candidate - Voter Model
    14:22 - Chapter 2. Location and Segregation: Why Outcomes Are Not Necessarily Preferences
    46:01 - Chapter 3. Location and Segregation: Examples
    52:10 - Chapter 4. Location and Segregation: Policy Implications
    57:51 - Chapter 5. Location and Segregation: Central vs. Individual Randomization
    01:00:51 - Chapter 6. Pure vs. Mixed Strategies: Rock, Paper, Scissors

    Complete course materials are available at the Open Yale Courses website: http://open.yale.edu/courses

    This course was recorded in Fall 2007.

  9. 9

    9. Mixed strategies in theory and tennis

    by YaleCourses 25,098 views

    Game Theory (ECON 159)

    We continue our discussion of mixed strategies. First we discuss the payoff to a mixed strategy, pointing out that it must be a weighed average of the payoffs to the pure strategies used in the mix. We note a consequence of this: if a mixed strategy is a best response, then all the pure strategies in the mix must themselves be best responses and hence indifferent. We use this idea to find mixed-strategy Nash equilibria in a game within a game of tennis.

    00:00 - Chapter 1. Mixed Strategies: Definition
    06:02 - Chapter 2. Mixed Strategies: Examples
    22:20 - Chapter 3. Mixed Strategies: Direct and Indirect Effects on the Nash Equilibrium
    27:05 - Chapter 4. Mixed Strategies and the Nash Equilibrium: Example

    Complete course materials are available at the Open Yale Courses website: http://open.yale.edu/courses

    This course was recorded in Fall 2007.

  10. 10

    10. Mixed strategies in baseball, dating and paying your taxes

    by YaleCourses 20,427 views

    Game Theory (ECON 159)

    We develop three different interpretations of mixed strategies in various contexts: sport, anti-terrorism strategy, dating, paying taxes and auditing taxpayers. One interpretation is that people literally randomize over their choices. Another is that your mixed strategy represents my belief about what you might do. A third is that the mixed strategy represents the proportions of people playing each pure strategy. Then we discuss some implications of the mixed equilibrium in games; in particular, we look how the equilibrium changes in the tax-compliance/auditor game as we increase the penalty for cheating on your taxes.

    00:00 - Chapter 1. Mixed Strategy Equilibria: Example (Continued)
    12:49 - Chapter 2. Mixed Strategy Equilibria: Other Examples in Sports
    23:41 - Chapter 3. Mixed Strategy Equilibria Interpretation 1: Literal Randomization
    28:17 - Chapter 4. Mixed Strategy Equilibria Interpretation 2: Players' Beliefs about Each Other's Actions
    47:04 - Chapter 5. Mixed Strategy Equilibria Interpretation 3: Prediction of Split on Two or More Courses of Action in a Large Population
    59:52 - Chapter 6. Mixed Strategy Equilibria: Policy Applications

    Complete course materials are available at the Open Yale Courses website: http://open.yale.edu/courses

    This course was recorded in Fall 2007.

  11. 11

    11. Evolutionary stability: cooperation, mutation, and equilibrium

    by YaleCourses 17,048 views

    Game Theory (ECON 159)

    We discuss evolution and game theory, and introduce the concept of evolutionary stability. We ask what kinds of strategies are evolutionarily stable, and how this idea from biology relates to concepts from economics like domination and Nash equilibrium. The informal argument relating these ideas toward at the end of his lecture contains a notation error [U(Ŝ,S') should be U(S',Ŝ)]. A more formal argument is provided in the supplemental notes.

    00:00 - Chapter 1. Game Theory and Evolution: Evolutionarily Stable Strategies - Example
    25:40 - Chapter 2. Game Theory and Evolution: Evolutionarily Stable Strategies - Discussion
    30:42 - Chapter 3. Game Theory and Evolution: Evolutionarily Stable Strategies Are Always Nash Equilibria
    42:32 - Chapter 4. Game Theory and Evolution: Nash Equilibria Are Not Always Evolutionarily Stable Strategies
    01:03:00 - Chapter 5. Game Theory and Evolution: Evolutionarily Stable Strategies and Nash Equilibria - Discussion

    Complete course materials are available at the Open Yale Courses website: http://open.yale.edu/courses

    This course was recorded in Fall 2007.

  12. 12

    12. Evolutionary stability: social convention, aggression, and cycles

    by YaleCourses 11,104 views

    Game Theory (ECON 159)

    We apply the idea of evolutionary stability to consider the evolution of social conventions. Then we consider games that involve aggressive (Hawk) and passive (Dove) strategies, finding that sometimes, evolutionary populations are mixed. We discuss how such games can help us to predict how behavior might vary across settings. Finally, we consider a game in which there is no evolutionary stable population and discuss an example from nature.

    00:00 - Chapter 1. Monomorphic and Polymorphic Populations Theory: Definition
    30:50 - Chapter 2. Monomorphic and Polymorphic Populations Theory: Hawk vs. Dove
    50:00 - Chapter 3. Monomorphic and Polymorphic Populations Theory: Discussion
    55:39 - Chapter 4. Monomorphic and Polymorphic Populations Theory: Identification and Testability

    Complete course materials are available at the Open Yale Courses website: http://open.yale.edu/courses

    This course was recorded in Fall 2007.

  13. 13

    13. Sequential games: moral hazard, incentives, and hungry lions

    by YaleCourses 15,467 views

    Game Theory (ECON 159)

    We consider games in which players move sequentially rather than simultaneously, starting with a game involving a borrower and a lender. We analyze the game using "backward induction." The game features moral hazard: the borrower will not repay a large loan. We discuss possible remedies for this kind of problem. One remedy involves incentive design: writing contracts that give the borrower an incentive to repay. Another involves commitment strategies; in this case providing collateral. We consider other commitment strategies such as burning boats. But the key lesson of the day is the idea of backward induction.

    00:00 - Chapter 1. Sequential Games: Backward Induction
    17:57 - Chapter 2. Sequential Games: Moral Hazard
    29:50 - Chapter 3. Sequential Games: Incentive Design
    44:29 - Chapter 4. Sequential Games: Commitment Strategies
    01:01:06 - Chapter 5. Sequential Games: Backward Induction Is Really Important

    Complete course materials are available at the Open Yale Courses website: http://open.yale.edu/courses

    This course was recorded in Fall 2007.

  14. 14

    14. Backward induction: commitment, spies, and first-mover advantages

    by YaleCourses 13,112 views

    Game Theory (ECON 159)

    We first apply our big idea--backward induction--to analyze quantity competition between firms when play is sequential, the Stackelberg model. We do this twice: first using intuition and then using calculus. We learn that this game has a first-mover advantage, and that it comes commitment and from information in the game rather than the timing per se. We notice that in some games having more information can hurt you if other players know you will have that information and hence alter their behavior. Finally, we show that, contrary to myth, many games do not have first-mover advantages.

    00:00 - Chapter 1. Sequential Games: First Mover Advantage in the Stackelberg Model
    38:13 - Chapter 2. First Mover Advantage: Commitment Strategy
    49:25 - Chapter 3. First Mover Advantage: Why It Is Not Always an Advantage
    55:53 - Chapter 4. First and Second Mover Advantage: NIM

    Complete course materials are available at the Open Yale Courses website: http://open.yale.edu/courses

    This course was recorded in Fall 2007.

  15. 15

    15. Backward induction: chess, strategies, and credible threats

    by YaleCourses 22,743 views

    Game Theory (ECON 159)

    We first discuss Zermelo's theorem: that games like tic-tac-toe or chess have a solution. That is, either there is a way for player 1 to force a win, or there is a way for player 1 to force a tie, or there is a way for player 2 to force a win. The proof is by induction. Then we formally define and informally discuss both perfect information and strategies in such games. This allows us to find Nash equilibria in sequential games. But we find that some Nash equilibria are inconsistent with backward induction. In particular, we discuss an example that involves a threat that is believed in an equilibrium but does not seem credible.

    00:00 - Chapter 1. First and Second Mover Advantages: Zermelo's Theorem
    10:17 - Chapter 2. Zermelo's Theorem: Proof
    17:06 - Chapter 3. Zermelo's Theorem: Generalization
    31:20 - Chapter 4. Zermelo's Theorem: Games of Induction
    40:27 - Chapter 5. Games of Perfect Information: Definition
    01:01:56 - Chapter 6. Games of Perfect Information: Economic Example

    Complete course materials are available at the Open Yale Courses website: http://open.yale.edu/courses

    This course was recorded in Fall 2007.

  16. 16

    16. Backward induction: reputation and duels

    by YaleCourses 11,582 views

    Game Theory (ECON 159)

    In the first half of the lecture, we consider the chain-store paradox. We discuss how to build the idea of reputation into game theory; in particular, in setting like this where a threat or promise would otherwise not be credible. The key idea is that players may not be completely certain about other players' payoffs or even their rationality. In the second half of the lecture, we stage a duel, a game of pre-emption. The key strategic question in such games is when; in this case, when to fire. We use two ideas from earlier lectures, dominance and backward induction, to analyze the game. Finally we discuss two biases found in Americans: overconfidence and over-valuing being pro-active.

    00:00 - Chapter 1. Establishing a Reputation: Selten's Chain Store Paradox
    20:56 - Chapter 2. Establishing a Reputation: Discussion
    25:18 - Chapter 3. Dueling: Game Setup
    34:04 - Chapter 4. Dueling: Game Analysis
    45:42 - Chapter 5. Dueling: Finding a Solution
    01:11:24 - Chapter 6. Dueling: Generalization

    Complete course materials are available at the Open Yale Courses website: http://open.yale.edu/courses

    This course was recorded in Fall 2007.

  17. 17

    17. Backward induction: ultimatums and bargaining

    by YaleCourses 12,184 views

    Game Theory (ECON 159)

    We develop a simple model of bargaining, starting from an ultimatum game (one person makes the other a take it or leave it offer), and building up to alternating offer bargaining (where players can make counter-offers). On the way, we introduce discounting: a dollar tomorrow is worth less than a dollar today. We learn that, if players are equally patient, if offers can be in rapid succession, and if each side knows how much the game is worth to the other side, then the first offer is for an equal split of the pie and this offer is accepted. But this result depends on those assumptions; for example, bargaining power may depend on wealth.

    00:00 - Chapter 1. Ultimatum Games: Why Backward Induction Fails Here
    14:15 - Chapter 2. Bargaining Games: Setup and Generalization
    47:44 - Chapter 3. Bargaining Games: Summary of Proof of Generalization
    54:29 - Chapter 4. Bargaining Games: Assumptions and Conclusions

    Complete course materials are available at the Open Yale Courses website: http://open.yale.edu/courses

    This course was recorded in Fall 2007.

  18. 18

    18. Imperfect information: information sets and sub-game perfection

    by YaleCourses 27,471 views

    Game Theory (ECON 159)

    We consider games that have both simultaneous and sequential components, combining ideas from before and after the midterm. We represent what a player does not know within a game using an information set: a collection of nodes among which the player cannot distinguish. This lets us define games of imperfect information; and also lets us formally define subgames. We then extend our definition of a strategy to imperfect information games, and use this to construct the normal form (the payoff matrix) of such games. A key idea here is that it is information, not time per se, that matters. We show that not all Nash equilibria of such games are equally plausible: some are inconsistent with backward induction; some involve non-Nash behavior in some (unreached) subgames. To deal with this, we introduce a more refined equilibrium notion, called sub-game perfection.

    00:00 - Chapter 1. Games of Imperfect Information: Information Sets
    18:56 - Chapter 2. Games of Imperfect Information: Translating a Game from Matrix Form to Tree Form and Vice Versa
    35:11 - Chapter 3. Games of Imperfect Information: Finding Nash Equilibria
    49:59 - Chapter 4. Games of Imperfect Information: Sub-games
    01:10:17 - Chapter 5. Games of Imperfect Information: Sub-game Perfect Equilibria

    Complete course materials are available at the Open Yale Courses website: http://open.yale.edu/courses

    This course was recorded in Fall 2007.

  19. 19

    19. Subgame perfect equilibrium: matchmaking and strategic investments

    by YaleCourses 18,880 views

    Game Theory (ECON 159)

    We analyze three games using our new solution concept, subgame perfect equilibrium (SPE). The first game involves players' trusting that others will not make mistakes. It has three Nash equilibria but only one is consistent with backward induction. We show the other two Nash equilibria are not subgame perfect: each fails to induce Nash in a subgame. The second game involves a matchmaker sending a couple on a date. There are three Nash equilibria in the dating subgame. We construct three corresponding subgame perfect equilibria of the whole game by rolling back each of the equilibrium payoffs from the subgame. Finally, we analyze a game in which a firm has to decide whether to invest in a machine that will reduce its costs of production. We learn that the strategic effects of this decision--its effect on the choices of other competing firms--can be large, and if we ignore them we will make mistakes.

    00:00 - Chapter 1. Sub-game Perfect Equilibria: Example
    27:22 - Chapter 2. Sub-game Perfect Equilibria: Matchmaking
    34:31 - Chapter 3. Matchmaking: SPEs of the Game
    49:37 - Chapter 4. Sub-game Perfect Equilibria: Strategic Investments
    01:13:15 - Chapter 5. Strategic Investments: Discussion

    Complete course materials are available at the Open Yale Courses website: http://open.yale.edu/courses

    This course was recorded in Fall 2007.

  20. 20

    20. Subgame perfect equilibrium: wars of attrition

    by YaleCourses 12,087 views

    Game Theory (ECON 159)

    We first play and then analyze wars of attrition; the games that afflict trench warfare, strikes, and businesses in some competitive settings. We find long and damaging fights can occur in class in these games even when the prizes are small in relation to the accumulated costs. These could be caused by irrationality or by players' having other goals like pride or reputation. But we argue that long, costly fights should be expected in these games even if everyone is rational and has standard goals. We show this first in a two-period version of the game and then in a potentially infinite version. There are equilibria in which the game ends fast without a fight, but there are also equilibria that can involve long fights. The only good news is that, the longer the fight and the higher the cost of fighting, the lower is the probability of such a fight.

    00:00 - Chapter 1. Wars of Attrition: The Rivalry Game
    17:39 - Chapter 2. Wars of Attrition: Real World Examples
    24:04 - Chapter 3. Wars of Attrition: Analysis
    47:53 - Chapter 4. Wars of Attrition: Discussion of SPEs
    01:06:54 - Chapter 5. Wars of Attrition: Generalization

    Complete course materials are available at the Open Yale Courses website: http://open.yale.edu/courses

    This course was recorded in Fall 2007.

  21. 21

    21. Repeated games: cooperation vs. the end game

    by YaleCourses 14,170 views

    Game Theory (ECON 159)

    We discuss repeated games, aiming to unpack the intuition that the promise of rewards and the threat of punishment in the future of a relationship can provide incentives for good behavior today. In class, we play prisoners' dilemma twice and three times, but this fails to sustain cooperation. The problem is that, in the last stage, since there is then is future, there is no incentive to cooperate, and hence the incentives unravel from the back. We related this to the real-world problems of a lame duck leader and of maintaining incentives for those close to retirement. But it is possible to sustain good behavior in early stages of some repeated games (even if they are only played a few times) provided the stage games have two or more equilibria to be used as rewards and punishments. This may require us to play bad equilibria tomorrow. We relate this to the trade off between ex ante and ex post efficiency in the law. Finally, we play a game in which the players do not know when the game will end, and we start to consider strategies for this potentially infinitely repeated game.

    00:00 - Chapter 1. Repeated Interaction: Cooperation versus Defection in the Prisoner's Dilemma
    16:40 - Chapter 2. Repeated Interaction: The Breakdown of Cooperation and The Lame Duck Effect
    22:44 - Chapter 3. Repeated Interaction: Renegotiation
    48:31 - Chapter 4. Failure of Renegotiation: Bankruptcy Laws
    53:17 - Chapter 5. Repeated Interaction: The Grim Trigger Strategy

    Complete course materials are available at the Open Yale Courses website: http://open.yale.edu/courses

    This course was recorded in Fall 2007.

  22. 22

    22. Repeated games: cheating, punishment, and outsourcing

    by YaleCourses 12,103 views

    Game Theory (ECON 159)

    In business or personal relationships, promises and threats of good and bad behavior tomorrow may provide good incentives for good behavior today, but, to work, these promises and threats must be credible. In particular, they must come from equilibrium behavior tomorrow, and hence form part of a subgame perfect equilibrium today. We find that the grim strategy forms such an equilibrium provided that we are patient and the game has a high probability of continuing. We discuss what this means for the personal relationships of seniors in the class. Then we discuss less draconian punishments, and find there is a trade off between the severity of punishments and the required probability that relationships will endure. We apply this idea to a moral-hazard problem that arises with outsourcing, and find that the high wage premiums found in foreign sectors of emerging markets may be reduced as these relationships become more stable.

    00:00 - Chapter 1. Repeated Interaction: The Grim Trigger Strategy in the Prisoner's Dilemma (Continued)
    29:21 - Chapter 2. The Grim Trigger Strategy: Generalization and Real World Examples
    37:56 - Chapter 3. Cooperation in Repeated Interactions: The "One Period Punishment" Strategy
    53:09 - Chapter 4. Cooperation in Repeated Interactions: Repeated Moral Hazard
    01:13:53 - Chapter 5. Cooperation in Repeated Interactions: Conclusions

    Complete course materials are available at the Open Yale Courses website: http://open.yale.edu/courses

    This course was recorded in Fall 2007.

  23. 23

    23. Asymmetric information: silence, signaling and suffering education

    by YaleCourses 14,731 views

    Game Theory (ECON 159)

    We look at two settings with asymmetric information; one side of a game knows something that the other side does not. We should always interpret attempts to communicate or signal such information taking into account the incentives of the person doing the signaling. In the first setting, information is verifiable. Here, the failure explicitly to reveal information can be informative, and hence verifiable information tends to come out even when you don't want it to. We consider examples of such information unraveling. Then we move to unverifiable information. Here, it is hard to convey such information even if you want to. Nevertheless, differentially costly signals can sometimes provide incentives for agents with different information to distinguish themselves. In particular, we consider how the education system can allow future workers to signal their abilities. We discuss some implications of this rather pessimistic view of education.

    00:00 - Chapter 1. Asymmetric Information: Signaling and Information Unraveling
    16:48 - Chapter 2. Information Unraveling: Examples
    35:07 - Chapter 3. Signaling: Good and Bad Workers
    59:36 - Chapter 4. Signaling: Conclusions

    Complete course materials are available at the Open Yale Courses website: http://open.yale.edu/courses

    This course was recorded in Fall 2007.

  24. 24

    24. Asymmetric information: auctions and the winner's curse

    by YaleCourses 16,416 views

    Game Theory (ECON 159)

    We discuss auctions. We first distinguish two extremes: common values and private values. We hold a common value auction in class and discover the winner's curse, the winner tends to overpay. We discuss why this occurs and how to avoid it: you should bid as if you knew that your bid would win; that is, as if you knew your initial estimate of the common value was the highest. This leads you to bid much below your initial estimate. Then we discuss four forms of auction: first-price sealed-bid, second-price sealed-bid, open ascending, and open descending auctions. We discuss bidding strategies in each auction form for the case when values are private. Finally, we start to discuss which auction forms generate higher revenues for the seller, but a proper analysis of this will have to await the next course.

    00:00 - Chapter 1. Auctions: Common versus Private Values
    08:16 - Chapter 2. Auctions: Winner's Curse in the First-Price Sealed-Bid Auction
    42:38 - Chapter 3. Auctions: Other Types of Auction
    58:35 - Chapter 4. Auctions: Revenue Generation in Different Types of Auctions

    Complete course materials are available at the Open Yale Courses website: http://open.yale.edu/courses

    This course was recorded in Fall 2007.

Loading...
Working...
Sign in to add this to Watch Later