Strategic Bargaining. This is page 1 Printer: Opaq

Similar documents
Bargaining Games. An Application of Sequential Move Games

Bargaining games. Felix Munoz-Garcia. EconS Strategy and Game Theory Washington State University

Extensive-Form Games with Perfect Information

Microeconomics II Lecture 2: Backward induction and subgame perfection Karl Wärneryd Stockholm School of Economics November 2016

Games in Extensive Form, Backward Induction, and Subgame Perfection:

Multi-Agent Bilateral Bargaining and the Nash Bargaining Solution

Game Theory Refresher. Muriel Niederle. February 3, A set of players (here for simplicity only 2 players, all generalized to N players).

Summary Overview of Topics in Econ 30200b: Decision theory: strong and weak domination by randomized strategies, domination theorem, expected utility

ECON 312: Games and Strategy 1. Industrial Organization Games and Strategy

EconS Sequential Move Games

Game theory lecture 5. October 5, 2013

final examination on May 31 Topics from the latter part of the course (covered in homework assignments 4-7) include:

ECON 282 Final Practice Problems

Dynamic Games of Complete Information

Game Theory -- Lecture 6. Patrick Loiseau EURECOM Fall 2016

Game Theory. Wolfgang Frimmel. Subgame Perfect Nash Equilibrium

Repeated Games. Economics Microeconomic Theory II: Strategic Behavior. Shih En Lu. Simon Fraser University (with thanks to Anke Kessler)

DYNAMIC GAMES. Lecture 6

Game Theory and Economics of Contracts Lecture 4 Basics in Game Theory (2)

ECON 301: Game Theory 1. Intermediate Microeconomics II, ECON 301. Game Theory: An Introduction & Some Applications

8.F The Possibility of Mistakes: Trembling Hand Perfection

6. Bargaining. Ryan Oprea. Economics 176. University of California, Santa Barbara. 6. Bargaining. Economics 176. Extensive Form Games

Game Theory two-person, zero-sum games

U strictly dominates D for player A, and L strictly dominates R for player B. This leaves (U, L) as a Strict Dominant Strategy Equilibrium.

The Rubinstein bargaining game without an exogenous first-mover

G5212: Game Theory. Mark Dean. Spring 2017

Dynamic Games: Backward Induction and Subgame Perfection

Signaling Games

14.12 Game Theory Lecture Notes Lectures 10-11

3 Game Theory II: Sequential-Move and Repeated Games

PROBLEM SET 1 1. (Geanokoplos, 1992) Imagine three girls sitting in a circle, each wearing either a red hat or a white hat. Each girl can see the colo

Topic 1: defining games and strategies. SF2972: Game theory. Not allowed: Extensive form game: formal definition

February 11, 2015 :1 +0 (1 ) = :2 + 1 (1 ) =3 1. is preferred to R iff

Terry College of Business - ECON 7950

PROBLEM SET 1 1. (Geanokoplos, 1992) Imagine three girls sitting in a circle, each wearing either a red hat or a white hat. Each girl can see the colo

The extensive form representation of a game

Backward Induction and Stackelberg Competition

4/21/2016. Intermediate Microeconomics W3211. Lecture 20: Game Theory 2. The Story So Far. Today. But First.. Introduction

GOLDEN AND SILVER RATIOS IN BARGAINING

Games of Perfect Information and Backward Induction

1\2 L m R M 2, 2 1, 1 0, 0 B 1, 0 0, 0 1, 1

Lecture 5: Subgame Perfect Equilibrium. November 1, 2006

Extensive Games with Perfect Information A Mini Tutorial

Ultimatum Bargaining. James Andreoni Econ 182

Dynamic games: Backward induction and subgame perfection

Appendix A A Primer in Game Theory

PROBLEM SET Explain the difference between mutual knowledge and common knowledge.

Supplementary Appendix Commitment and (In)Efficiency: a Bargaining Experiment

CHAPTER LEARNING OUTCOMES. By the end of this section, students will be able to:

Game Theory and Economics Prof. Dr. Debarshi Das Humanities and Social Sciences Indian Institute of Technology, Guwahati

Extensive Games with Perfect Information. Start by restricting attention to games without simultaneous moves and without nature (no randomness).

Econ 302: Microeconomics II - Strategic Behavior. Problem Set #5 June13, 2016

Strategies and Game Theory

Refinements of Sequential Equilibrium

ECO 199 B GAMES OF STRATEGY Spring Term 2004 B February 24 SEQUENTIAL AND SIMULTANEOUS GAMES. Representation Tree Matrix Equilibrium concept

Mohammad Hossein Manshaei 1394

Chapter 13. Game Theory

Lecture 6: Basics of Game Theory

Rationality and Common Knowledge

Perfect Bayesian Equilibrium

Game Theory: The Basics. Theory of Games and Economics Behavior John Von Neumann and Oskar Morgenstern (1943)

2. The Extensive Form of a Game

37 Game Theory. Bebe b1 b2 b3. a Abe a a A Two-Person Zero-Sum Game

THEORY: NASH EQUILIBRIUM

Bargaining and Reputation with Ultimatums

1. Simultaneous games All players move at same time. Represent with a game table. We ll stick to 2 players, generally A and B or Row and Col.

Multiagent Systems: Intro to Game Theory. CS 486/686: Introduction to Artificial Intelligence

Exercises for Introduction to Game Theory SOLUTIONS

DECISION MAKING GAME THEORY

Student Name. Student ID

(a) Left Right (b) Left Right. Up Up 5-4. Row Down 0-5 Row Down 1 2. (c) B1 B2 (d) B1 B2 A1 4, 2-5, 6 A1 3, 2 0, 1

Dominant and Dominated Strategies

Extensive Form Games. Mihai Manea MIT

Sequential Games When there is a sufficient lag between strategy choices our previous assumption of simultaneous moves may not be realistic. In these

What is... Game Theory? By Megan Fava

Multiagent Systems: Intro to Game Theory. CS 486/686: Introduction to Artificial Intelligence

Economics 201A - Section 5

UPenn NETS 412: Algorithmic Game Theory Game Theory Practice. Clyde Silent Confess Silent 1, 1 10, 0 Confess 0, 10 5, 5

Multiagent Systems: Intro to Game Theory. CS 486/686: Introduction to Artificial Intelligence

October 14, :17 WSPC/INSTRUCTION FILE Goranko-Turrini Final Version-VG TWO-PLAYER PREPLAY NEGOTIATION GAMES WITH CONDITIONAL OFFERS

Introduction to Industrial Organization Professor: Caixia Shen Fall 2014 Lecture Note 6 Games and Strategy (ch.4)-continue

Game Theory ( nd term) Dr. S. Farshad Fatemi. Graduate School of Management and Economics Sharif University of Technology.

Game Theory and Randomized Algorithms

Finance Solutions to Problem Set #8: Introduction to Game Theory

Game Theory for Strategic Advantage Alessandro Bonatti MIT Sloan

Cutting a Pie Is Not a Piece of Cake

Section Notes 6. Game Theory. Applied Math 121. Week of March 22, understand the difference between pure and mixed strategies.

NORMAL FORM (SIMULTANEOUS MOVE) GAMES

Notes for Recitation 3

How to divide things fairly

Weeks 3-4: Intro to Game Theory

Repeated games. Felix Munoz-Garcia. Strategy and Game Theory - Washington State University

Resource Allocation and Decision Analysis (ECON 8010) Spring 2014 Foundations of Game Theory

CS510 \ Lecture Ariel Stolerman

The tenure game. The tenure game. Winning strategies for the tenure game. Winning condition for the tenure game

Lecture Notes on Game Theory (QTM)

Introduction to Game Theory

Believing when Credible: Talking about Future Plans and Past Actions

EC3224 Autumn Lecture #02 Nash Equilibrium

Non-Cooperative Game Theory

Transcription:

16 This is page 1 Printer: Opaq Strategic Bargaining The strength of the framework we have developed so far, be it normal form or extensive form games, is that almost any well structured game can be presented in this fundamental language, and formal analysis based on rationality and strategic interaction could be performed. The repeated game was especially useful to depict a strategic situation that repeats over time, and the infinite horizon structure was helpful in setting a formal framework for repeated games with long horizons, in which the future is always important to a certain degree. As it turns out, there is a large and important set of strategic situations that differ from the type of repeated game model we have developed, yet they do share the feature that a particular situation seems to repeat itself over time. These are the family of Bargaining games. This games generally include players who need to reach some agreement over a decision that affects them all, and failing to do so results in an inferior status quo. Clearly, this is a very important set of situations of strategic interaction, since bargaining is regarded primarily as a situation in which a small number of parties, often two, try to split some gains from interaction. Be it a firm and a union that are bargaining over wages and benefits, a local municipality bargaining with a local utility provider over the terms of service, the head of a political party bar-

player Player Player Player 156 16. Strategic Bargaining gaining with other party members on the campaign issues, and even the mundane bargaining between a client and a merchant at a street bazaar. How do we model bargaining? As argues above, the issue is often about a surplus that has to be split, and involves the parties making proposals, responding to them, and trying to settle on an agreement. One particular stylized way of modelling such a situation would be to consider two players that need to split a pie (the surplus from an agreement) of total value 1, and bargain according to a pre-specified procedure that evolves as follows: In the first round: 1 offers shares (x, 1 x) where player 1 gets x and 2 gets 1 x. 2 then chooses between accept, causing payoffs u 1 = x, u 2 = 1 x, and the game ends, or reject, causing the game to move to the second round. In the second round a share 1 δ of the pie evaporates (discounting): 2 offers shares (x, 1 x) where player 1 gets x and 2 gets 1 x. 1 chooses between accept, causing payoffs u 1 = δx, u 2 = δ(1 x), and the game ends, or reject, causing the game to move to the third round. The game continues in this way where following rejection in an odd period player 2 gets to offer in the next even period, and vice versa. Each period has further discounting of the surplus so that in period t the total pie is worth δ t 1 1. From the specification of the bargaining procedure, the game may end with an agreement, or it may continue indefinitely. For starters, assume that the game ends in some pre-specified final period T that is reached if the players did not settle previously, and if they do not reach an agreement in that period then both receive a payoff of zero. This, for example, can be the case of a fisherman bargaining with a restaurateur over a fresh catch. If they wait more than a few hours, the fish will

16. Strategic Bargaining 157 go bad and there will no longer be gains from trade. The rough extensive form of this game is: No Yes No Yes δx δ(1-x) No Yes δ 2 x δ 2 (1-x) No Yes 0 0 δ T-1 x δ T-1 (1-x) Notice that this game has an interesting structure that is different from what we have seen so far. On one hand, the game has some features of a finitely repeated game as follows: If we think of an odd round as one where player 1 proposes and player 2 responds, and an even round as the converse, then we can treat each pair of rounds as one stage that repeats itself as long as an agreement is not reached. Furthermore, as rounds proceed the value of the pie that these players need to split is shrinking according to the discount factor δ. On the other hand, there are two features that are not part of the repeated game structure we saw above. First, the game can end during any round if the proposal is accepted, and second, payoffs are obtained only when the game actually ends and not as a flow of stage-game payoffs.

158 16. Strategic Bargaining Is this general game of bargaining a reasonable caricature of reality? We need to convince ourselves that this game itself is, at least at some level, representative of what we believe bargaining is about. To some extent, sequences of offers and counter-offers are natural components for any type of bargaining, and clearly, once agreements are reached the bargaining stage is over. However, the pre-fixed end date T, at which an all-or-nothing agreement is reached is not extremely appealing. For this reason we will first analyze the game with such a finite end date, and later see what happens when we einate this artificial termination stage. 16.1 The Simplest Game: One Round Let s start with an almost trivial case where there is only one round, so that T =1. Since this is a game of perfect information (player 2 sees the offer of player 1 before he needs to accept or reject), we know that we can apply backward induction to find the subgame perfect equilibria. We start, instead, by analyzing the game with the concept of Nash equilibrium: what can be supported without requiring sequential rationality? Claim 1: In the bargaining game with round any division of surplus x [0, 1], (u 1,u 2 )=(x, 1 x ), can be supported as a Nash equilibrium. proof: We will construct a pair of strategies that are mutual best responses, and that lead to (x, 1 x ) as the division of surplus. Let player 1 s strategy be I propose x, and let player 2 s strategy be I accept any offer x x and reject any offer x>x. It is easy to see that these two strategies are mutual best responses independent of the value of x [0, 1]. This observation is telling us one simple thing: the concept of Nash equilibrium has no bite for this simple game, and it can rationalize any division of surplus. In other words, we cannot predict in any meaningful way what the outcome of such a game will be if we only require people to respect mutual best responses. A quick observation of the strategies that support this division of surplus should immediately scream out that strategic rationality, or as we now call it subgame perfection, is violated: Player 2 is saying there is a minimum that I am willing to

16.2 The finite game: T < 159 accept. But what if player 1 offers him less? In particular, what if she offers him (1 x) =ε>0? If player 2 rejects this offer he will get zero, while if he accepts it he will get a payoff of ε>0, implying that his best response is to accept any strictly positive payoff. Anticipating this, player 1 should offer player 2 the smallest possible amount. This leads to the following result, Claim 2: In the bargaining game with round, player 1 offering x =1and player 2 accepting any offer x 1 is the unique subgame perfect equilibrium. proof: We have established that player 2 must accept any positive share (x < 1) and he is indifferent to accepting x =1 so the proposed strategy is sequentially optimal and player 1 is playing a best response. The only other sequentially rational strategy for player 2 is to accept any strictly positive share (x <1) and reject getting zero (x =1). But player 1 has no best response to this strategy and thus it cannot be part of a SPE. This result is very stark, especially when compared with claim 1 above: simultaneous rationality can justify any outcome, but sequential rationality predicts only one outcome: player 2 should accept anything, and thus player 1 has an extreme form of a take-it-or-leave-it advantage giving her the whole pie of surplus. Remark 8 There have been many experiments that were run by researchers that basically tested behavior for exactly this type of game, also called the ultimatum game, in which a player 1 can offer to split a sum of money with player 2. If player 2 accepts then the split is realized and both players receive the proposal of player 1. If player 2 rejects then the players receive nothing. Contrary to the theory, and maybe not too surprising, the experiments show that those players in the role of player 1 offer significant shares to those in the role of player 2, and the latter will reject offers that are rather small. (expand, references) L12 16.2 The finite game: T < When we consider longer horizons, but still stick to the finite game case with some end date T <, the fact that the Nash concept has no bite continues to hold. In

160 16. Strategic Bargaining particular, we can easily generalize the strategies in the proof of claim 1 above to any horizon, including an infinite one. To support a division of surplus x [0, 1] we can use the following strategies: In every odd round in which player 1 proposes, player 1 will propose x and player 2 will accept proposals of x x. In every even round in which player 2 proposes, player 2 will propose x and player 1 will accept proposals of x x. It is easy to see that these strategies are mutual best responses, and an agreement is reached in the first round with the division of surplus (x, 1 x ). It is not surprising that the uniqueness of the SPE will also apply to the finite bargaining game since backward induction will apply in a similar way that it did for the one round case. That is, in the last round, the proposer will offer to keep the entire pie to himself, and the responder will agree. We saw that with one round, player 1 gets all the surplus because it is by construction the last round. What will happen with two rounds? The second round is a one round game, so if it is reached player 2 gets everything. Continuing with backward induction, and with δ 1, we can find the subgame perfect equilibrium for the two-round game as follows. In the first round player 2 realizes that in the next (and last) round he will receive the whole pie, which will be worth only δ due to the discounting. Thus, if he is offered less than δ for

16.2 The finite game: T < 161 himself (player 1 offers x > 1 δ) he should reject the offer and get the whole pie in the next period. Going then to the stage where player 1 makes her first offer, she realizes that any offer x>1 δ will be rejected, and thus she offers x =1 δ, leading to a division of surplus equal to (u 1,u 2 )=(1 δ, δ). Forδ =1we have player 2 getting all the pie since he then has the ultimate form of a take-it-orleave-it advantage, and with δ<1 player 1 has a bit of a first-mover advantage due to the discounting. Essentially, the backward induction argument that we have just demonstrated for the two round bargaining model will generalize to any finite round game, and there will be an inter-play between the ability to make a last take-it-or-leave-it offer, and the first mover advantage due to the discounting of δ <1. Another aspect is who is the last mover, player 1 or player 2, which will artificially depend on whether the game has an odd number or even number of periods. Consider the case with an odd number of rounds T <, implying that player 1 has both the fist mover and last mover advantages. The following backward induction argument applies: In period T, player 2 accepts anything, so player 1 offers x =1and payoffs are u 1 =1 δ T 1 ; u 2 =0 In period T 1 (even period player 2 offers), by backward induction player 1 should accept anything giving u 1 δ T 1. If player 1 gets x, then u 1 = x δ T 2 ; so player 2 should offer x = δ, which gives player 1 u 1 = δ δ T 2 = δ T 1 and player 1 will accept any x δ. Payoffs are then u 1 = δ T 1 ; u 2 =(1 δ) δ T 2. In period T 2 (odd period), conditional on what we solved for T 1, player 2 s best response is to accept any x that gives him (1 x) δ T 3 (1 δ) δ T 2. Player 1 s best response to this is to offer the largest x that satisfies this inequality, and solving it with equality then yields player 1 s best response: x = 1 δ + δ 2. This offer followed by 2 s acceptance yields u1 = xδ T 3 = δ T 3 δ T 2 + δ T 1 and u 2 = δ T 2 δ T 1. In period T 3 (even period), using the same backward induction argument, player 1 s best response is to accept any x that satisfies xδ T 4 δ T 3

162 16. Strategic Bargaining δ T 2 + δ T 1, and player 2 then offers an offer that satisfies this with equality, x = δ δ 2 + δ 3, yielding u1 = δ T 3 δ T 2 + δ T 1 and u 2 = (1 x)δ T 4 = δ T 4 δ T 3 + δ T 2 δ T 1 We can continue with this tedious exercise only to realize that a simple pattern emerges. If we look at the solution for an odd period T s ( s being even) then the backward induction argument leads to, x T s = 1 δ + δ 2 δ 3 +δ S, and for an even period T s ( s being odd) then the backward induction argument leads to, x T S = δ δ 2 + δ 3 δ 4... + δ S. Now we can use this pattern to solve for the offer in the first period, x 1, that by backward induction is accepted by player 2, and it is x1 = 1 δ + δ 2 δ 3 + δ 4 +δ T 1 = = (1 + δ 2 + δ 4 + + δ T 1 ) (δ + δ 3 + δ 5 + + δ T 2 ) = 1 +1 δt 1 δ 2 δ δ T 1 δ 2 = (1 δ)(1 + δt ) (1 + δ)(1 δ) = 1+δT 1+δ, and this in turn implies that u 1 = x 1 = 1+δT 1+δ, u2 = (1 x1) = δ δt 1+δ We can now offer some insights into this solution, which turns out to have some very appealing features. First, any SPE must have the players reach an agreement in the first round. The reason is that if agreement is reached in a later round with payoffs (u 1,u 2 ), then discounting implies that part of the surplus is waisted and.

16.2 The finite game: T < 163 u 1 + u 2 < 1. Sequential rationality would then imply that player 1 could deviate and offer x = 1 u 2, which guarantees player 2 the payoff u 2 immediately, and leaving herself more than u 1. Second, since player 1 has both the last mover take-it-or-leave-it advantage, and the first mover discounting advantage, then we have u 1 >u 2 for any discount factor δ [0, 1]. Now imagine that T is fixed and we are trying to see how patience affects the payoffs. Clearly, if players are very impatient and δ = 0, then this is basically equivalent to a one round game in which player 1 gets the whole surplus. At the other extreme, if we take the it of δ =1, then u =1and 1 u =0,and 2 this is independent on the length of the game T. This observation is somewhat disturbing: if players are very patient then the last mover take-it-or-leave-it advantage just flows through no matter how long the game is! The reason we get this rather counter-intuitive result is precisely due to the artificial stopping period T. To see this we fix the discount factor δ, and look at what happens to the equilibrium payoffs as the game gets longer and longer. We get, and T u 1 = T u 2 = 1+δ T T 1+δ δ δ T T 1 + δ = 1 1+δ, = δ 1+δ. Now, looking at the equilibrium payoffs for the it game where T, we can ask what happens as the patience of the players changes without the artificial end period T having such strong bite. For the extreme case of impatience with δ = 0we get the same result: the game is equivalent in nature to a one round game. What happens when people become very patient? We now have, δ 1 T u 1 = 1 δ 11+δ = 1 2, and δ 1 T u 2 = = 1 δ 11+δ 2, which is a rather appealing result for very long horizons with very patient players: the long (potentially infinite) horizon einates the last mover s take-it-or- δ

164 16. Strategic Bargaining leave-it advantage, and the high level of patience takes away the first mover s discounting advantage. 1 As an exercise, you can solve for the subgame perfect equilibrium when the number of periods is even, and see that at the it we get the same result. 16.3 The Infinite game: T = When we consider the possibly infinite horizon game (if an agreement is never reached) then the assumption of disagreement leading to zero payoffs comes up naturally from the discounting: if we disagree forever then nothing is left to agree upon. However, there is a crucial difference with the analysis not being the it of a finite horizon game, and that is that the path of perpetual disagreement has an infinite length, and we cannot therefore apply a backward induction argument. There is, however, an interesting feature of the infinite game s structure, and it is the stationary structure of the game following disagreement. Namely, every odd period is the same, with player 1 making an offer, and the continuation game has a potential infinite horizon. Similarly, every even period is the same with player 2 making the offer. This allows us to apply a rather appealing, and not too difficult logic, to solve for the unique subgame perfect equilibrium of the game. 2 Loosely speaking, the argument goes as follows. First notice that sequential rationality implies that an agreement must be reached in the first period, following the same logic we introduced earlier: waste will not be tolerated. Now imagine that there were possibly many SPE. This implies that in period 1 where player 1 makes an offer, from player 1 s perspective there will be a best SPE yielding her a value of v 1, and a worst SPE yielding her a value of v 1. Similarly, in period 2 where player 2 makes an offer after rejecting the first offer from player 1, there will be a best SPE yielding player 2avalueofv 2, and a worst SPE yielding him a value of v 2. The stationary structure of the game implies that v 1 = v 2 = v, and v 1 = v 2 = v. 1 Note that to reach this appealing conclusion the order of its matters. If we reversed the order and did δ 1 first followed by T then u 1 = 1 and u 2 = 0, preserving the artificial take-it-or-leave-it advantage. 2 The idea comes from a paper by Shaked and Sutton (1984), but the infinite model was proposed, and the unique solution was identified in a seminal paper by Rubinstein (1982). The finite version is due to Stahl (1972).

16.4 Additional Bargaining Material: 165 It must then be that the lowest SPE payoff for player 1 in period 1 is obtained from the SPE that gives player 2 his highest payoff following rejection in the first round, implying that player 1 will offer player 2 δv, and her payoff is then v = 1 δv. (16.1) Similarly, the highest SPE payoff for player 1 in period 1 is obtained from the SPE that gives player 2 his lowest payoff following rejection in the first round, implying that v =1 δv. (16.2) Taking (16.1) and (16.2) we obtain that v = v = 1 1+δ. What does this mean? First, it means that player 1 s SPE payoff at the beginning of the game is a uniquely determined by this equality. Second, since we know that agreement is reached in the first round this also implies what the SPE strategies are: in each odd round, player 1 offers x = 1 1 and player 2 accepts any x. 1+δ 1+δ In each even round player 2 offers x = δ δ and player 1 accepts any x 1+δ 1+δ. The appealing feature of this unique SPE is that it coincides with the unique it of the SPE for the finite horizon bargaining game. 16.4 Additional Bargaining Material: fixed cost of offers delay in bargaining axiomatic/cooperative frameworks.