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Applied Game Theory Lecture 3. Pietro Michiardi. Recap (1). We started to study imperfect competition We used the Cournot Model What happens between monopoly and perfect competition? We used three approaches to answer Theoretic approach + calculus
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Applied Game TheoryLecture 3 Pietro Michiardi
Recap (1) • We started to study imperfect competition • We used the Cournot Model • What happens between monopoly and perfect competition? • We used three approaches to answer • Theoretic approach + calculus • Theoretic approach + graphical representation • Economics insights
Recap (2) • This is the general approach you use when modeling a problem with Game Theory • You formally solve the problem, with handy mathematical tools • You graphically solve the problem to gain insights and intuition to the problem • You “translate” your findings in the “real world” and figure out if they make sense
Recap (3) • In Cournot Equilibrium we have: • Saddle points sit in between monopoly and perfect competition Quantity produced is less than perfect competition but more than monopoly Industry profit is less than monopoly but larger than perfect competition • In our model we set quantities and we let prices take care of themselves and settle
Bertrand Competition • What if we take a somehow more realistic view and let Firms decide on prices instead of quantities? • Companies compete on prices and let quantities settle as a consequence of imperfect competition • Let’s define the game
Bertrand Model (1) • Players: 2 Companies, E.g.: Coke and Pepsi • Producing perfect substitutes • Constant marginal costs • Strategies: Companies set prices, p1, p2 • Let strategy si be: 0 ≤ pi ≤ 1 • Firms maximize their profits
Bertrand Model (2) • Where do quantities come from? where p is the lowest of the prices (p1, p2) The demand for company 1 would be:
Bertrand Model (3) • What are the payoffs? Revenues Costs
Bertrand Model (4) • Observations • This is the same basic model we used in Cournot • Before: Firms set quantities, Market determine prices • Now: Firms set prices, Market determine quantities • How to find a NE of this game? • NOTE: calculus is not going to help here • Why?
Bertrand Model (5) Best response for Firm 1 • Assume p2 < c • What is the BR in this case? get out of the market! • Why? • How?
Bertrand Model (6) Best response for Firm 1 • Assume p2 > c • What is the BR in this case? Undercut Firm 2! • Why? • How? • What’s the corollary condition?
Bertrand Model (7) Best response for Firm 1 • Assume p2 > pMON • What is the BR in this case? Be a monopolist! • Why? • How?
Bertrand Model (8) Best response for Firm 1 • Assume p2 = c • What is the BR in this case? Price at least as much as Firm 2 • Why? • How?
Bertrand Model (9) • Summary for BR1(p2)
Bertrand Model (10) • So now we know the BR for both Firms (symmetric game), what is the NE of the game? • The NE is for both companies to set their prices exactly equal to the marginal costs! • Let’s check this is a NE
Bertrand Model (11) • Suppose we have (p1, p2) such as: • What would Firm 1 do? • Now what would Firm 2 do? • … you can imagine we’re we heading
Bertrand Model (12) • Hence, the NE = (c,c) • The profit for both Firms is zero • The outcome is perfect competition • Same setting as Cournot, we only changed strategy set, we got a completely different outcome!
Remarks on Bertrand Model • We hardly believe this to be representative of reality • We need to relax some assumptions here • We would like to get back at imperfect competition • How can we do that?
Linear City Model (1) • NOTE: do this at home, it’s a good exercise for the exam • The assumption we change on the Bertrand Model is that products are not identical anymore • And this is somehow more realistic • Despite being priced equally, you can discern from a beer to another
Linear City Model (2) • Players: 2 Firms, E.g.: Coke and Pepsi • Constant marginal costs • Strategies: Companies set prices, p1, p2 • Let strategy si be: 0 ≤ pi ≤ 1 • Firms maximize their profits
Linear City Model (3) • Each consumer chooses the product whose total cost to her is smaller • Similar to the demand stated before, smaller price wins • We include a transport cost • Example: consumer at position y pays Firm 1 Firm 2 0 y 1
Linear City Model (3) • Assumptions: • Uniform distribution of consumers across the city • Consumers buy only one product from Firm 1 or Firm 2 • Generalization: • The linear city model can be used to think about a “dimension” of the product (think of beer, Bud light vs. Guinness)
The Candidate-Voter Model (1) • This is an extension to the model we saw during the first lecture, i.e., the Downs and Hotelling Model • Basically we have the same setting, but the game is a little bit different
The Candidate-Voter Model (2) • We assume even distribution of voters • Voters vote for the closest candidate • New assumptions: • The number of candidates is not fixed (Endogenous) • Candidates cannot choose their positions • Each voter in the model can be a potential candidate Left wing Right Wing
The Candidate-Voter Model (3) • Let’s now describe the game • Players: voters/candidates • Strategies: run for the election or don’t • Voters vote for closest running candidate • Candidate wins with plurality (flip if ties) • Payoffs: • Prize if win = B • Cost for running = C, with B = 2 C • Disutility (cost) if winning candidate is far from your political position = |x-y|
The Candidate-Voter Model (4) • Example: • If Mr. X enters and wins payoff = B – C • If Mr. X enters but Mr. Y wins payoff = -C - |x-y| • If Mr. X stays out payoff = - |x-y| • Let’s put some real numbers: • Suppose we have N = 17 players • B = $2000 • C = $1000 • Each place is worth a 1/17th of $1000 for each position away form you the winner is, you loose ~ $60
The Candidate-Voter Model (5) Y X • Who is going to win the election? • Is this a Nash Equilibrium? • Y runs payoff = - $1000 - $240 • Y stays put payoff = -$240 • A player can deviate by staying put L R
The Candidate-Voter Model (6) Y X • Who is going to win the election? • Is this a Nash Equilibrium? • Y runs payoff = - $1000 - $60 • Y stays put payoff = -$60 • A player can deviate by staying put L R
The Candidate-Voter Model (7) X • Who is going to win the election? • Is this a Nash Equilibrium? • What if another candidate enters? Deviation: run L R X Y L R
The Candidate-Voter Model (8) • Looks like we understood the mechanics Question: Is there a NE with zero candidates running? Question: given an odd number of candidates Is there a NE with only 1 candidate running?
The Candidate-Voter Model (9) • Is this an equilibrium? • What happens if someone else runs? • Who is the winner in case orange player runs? L R L R
The Candidate-Voter Model (10) Y X • Is there an NE with 2 candidates? • What about the example above? • We need to check for all possible deviations L R
The Candidate-Voter Model (11) Deviation 1: Z enters the scene not only Z looses, but it pushes the winner further away Z L R Deviation 2: Z enters the scene Z simply looses Z L R Deviation 3: X drops X runs, then expected payoff is 50% B-C , 50% -C - |x-y| X drops, then payoff is –C - |x-y| for sure!! L R
The Candidate-Voter Model (12) • Summarizing: • NE with 0 candidates NO • NE with 1 candidate Yes, if odd # of voters and centrist candidate • NE with 2 candidates YES, if equally distant from the center! • Can we elaborate more on this last point?
The Candidate-Voter Model (13) • Let’s recap first • There are many NE, not all “at the center” • Entry can lead to a more distant candidate winning X Y L R
The Candidate-Voter Model (14) • If runners are too far apart, there’s an incentive for a third party to run and win • Question: how far apart can two equilibrium candidates be? X Y L R
The Candidate-Voter Model (15) ?? • If runners are exactly at 1/6 and 5/6 a middle runner could win with probability 1/3 • If they slightly converge towards the center, the middle candidate is squeezed out • Although there is not a full thrust to aggregate exactly at the center (cf. Downsian model) there is still a force pushing candidates towards the center 1 2/6 1/2 4/6 5/6 0 1/6
Game theory lesson • Basically we’ve seen that the “guess and check” technique is very effective • HINTS: • Be systematic when guessing • Be careful when checking: do not ignore hidden deviations of players
The Location Model (1) • Assume we have 2N players in this game • Players have two types: tall and short • There are N tall players and N short players • Players are people that need to decide in which town to live • There are two towns: East town and West town • Each town can host no more than N players
The Location Model (2) • Players: 2N people • Strategies: East or West town • Let’s put some numbers • We have 140 short people and 140 tall people • Each town can host 140 people • As usual, we’re missing something: payoffs
The Location Model (3) Utility for player i 1 1/2 0 # of your type in your town 70 140
The Location Model (4) • The idea is: • If you are a minority in your town you get a payoff of zero • If you are in majority in your town you get a payoff of ½ • If you are well integrated you get a payoff of 1 • People would like to live in mixed towns, but if they cannot, then they prefer to live in the majority town
The Location Model (5) • Let’s put a few more rules to define the game • We assume a simultaneous move game • Unrealistic, but will do for now • We assume that if the number of people choosing a particular town is larger than the town capacity, the surplus will be redistributed randomly
Tall player West Town Short player East Town • This is the initial picture • We assume an initial choice for all players • What we are going to do is to simulate players’ action in repeating the game
Tall player West Town Short player East Town • First iteration • For tall players • There’s a minority of east town “giants” to begin with • For short players • There’s a minority of west town “dwarfs” to begin with • short players will want to switch towns (WE) • tall players will want to switch towns (EW)
Tall player West Town Short player East Town • Second iteration • We keep the same trend • short players will want to switch towns (WE) • tall players will want to switch towns (EW) • Few exceptions that still didn’t understand the game • What is their payoff?
Tall player West Town Short player East Town • Third iteration • What happened? • People got segregated
The Location Model (6) • The players ended up being segregated • However, the payoff curve didn’t say so: • People would have preferred to be in an integrated town • What happened? Why did we end up like this?