178 307 Markets Firms and Consumers Lecture 11

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178. 307 Markets, Firms and Consumers Lecture 11: Competition

178. 307 Markets, Firms and Consumers Lecture 11: Competition

Overview l l Firms interact with other firms. This is often in various forms

Overview l l Firms interact with other firms. This is often in various forms of competition. l Keywords – – – Cournot Model Stackleberg Model Betrand Model Hotelling Model Salop Model Predatory Pricing

Neoclassical Models l l Both Cournot and Betrand Models can be solved by Game

Neoclassical Models l l Both Cournot and Betrand Models can be solved by Game Theory. Cournot Model has firms competing on output. l l Bertrand Market has firms competing on price. Collusion is much less stable in a Betrand market.

Cournot Model l See tutorial exercises

Cournot Model l See tutorial exercises

Betrand Duopoly

Betrand Duopoly

Reaction Functions Note: this implies a firm will increase (decrease) its price if its

Reaction Functions Note: this implies a firm will increase (decrease) its price if its competitors increase (decrease) theirs. l Solve (simultaneously) for all firms and find that all optimal prices are: (a+c)/(2 -b)

Stackelberg Model l Game is similar to Cournot Outputs are no longer selected simultaneously.

Stackelberg Model l Game is similar to Cournot Outputs are no longer selected simultaneously. We make one firm the leader. l l l The solution is by ‘backward induction’. We use the terminal point of the game to determine the follower’s output. This used to derive the leader’s output.

Stackelberg Game

Stackelberg Game

Solutions l l Leader obtains larger share of market (first-mover advantage) In Cournot model

Solutions l l Leader obtains larger share of market (first-mover advantage) In Cournot model the share is (a-c)/3 b each.

Simple Spatial Competition l Hotelling Model (1929) – See tutorial

Simple Spatial Competition l Hotelling Model (1929) – See tutorial

Salop Model- Introduction l l l Depositors are uniformly located along a circle. There

Salop Model- Introduction l l l Depositors are uniformly located along a circle. There are n banks, indexed by i= 1, . . , n. Banks invest cash in a riskless technology with a return of r. Depositors don’t have access to technology. Transport costs of αx are incurred by each depositor, where x is ‘distance’. • Each depositor has 1 unit of cash. • The Total Length of the circle = 1 • Total mass of depositors =D

Optimal Organisation l l The most distance any consumer will travel to a bank

Optimal Organisation l l The most distance any consumer will travel to a bank is 1/2 n (halfway round the circle). The sum of all transport costs are Note: you don’t need to prove this.

Optimal number of banks l l Let the unit cost of setting up a

Optimal number of banks l l Let the unit cost of setting up a bank is F. Optimal number is found by minimising setup and transport costs:

Solution

Solution

Define the marginal depositor

Define the marginal depositor

Volume of Deposits l Total volume of deposits are ‘doubled’ to take account of

Volume of Deposits l Total volume of deposits are ‘doubled’ to take account of banks both sides of the bank i.

Profit of Bank i The solution here requires the use of the product rule

Profit of Bank i The solution here requires the use of the product rule

Simplify l Only one solution is possible, if all banks charge the same interest

Simplify l Only one solution is possible, if all banks charge the same interest rates…

Profit of Bank

Profit of Bank

Free Competition Output l l l Free competition leads to too many banks This

Free Competition Output l l l Free competition leads to too many banks This provides scope for regulation Note that decreasing ‘r’ (e. g. by reserve requirement) has no effect.

Predatory Pricing l A firm sets prices below cost, in an attempt to drive

Predatory Pricing l A firm sets prices below cost, in an attempt to drive competitors out of the market. – – It hopes to recoup losses after the competitors have been driven out. It does so by exploiting market power after the exit of these other firms. l l It is difficult to distinguish aggressive pricing in a competitive market from predatory pricing. Predatory pricing is usually regarded as illegal.

Theoretical Work l l l Selten (1978) began with a chain-store game. Accomodating Firm

Theoretical Work l l l Selten (1978) began with a chain-store game. Accomodating Firm 2 weakly dominates Fighting for Firm 1. Firm 2’s type is unknown. If W, it leaves, if T, it stays. Firm 2 T W Firm Fight -1, -1 1 a, 0 Acc. a, 0 0, b

Hence l l Firm 1 may wish to adopt predatory in an infinite length

Hence l l Firm 1 may wish to adopt predatory in an infinite length game. The per-period payoff (-1)q +(1 -q)a > 0 l The Firm has to be patient (does not discount future too much). l l l In a finite length game, Firm 1 always accomodates in the last period. Backward induction then implies it will always accommodate. Predatory pricing requires games of infinite length.

Conclusion l l l Predatory Pricing is not as common as some people believe.

Conclusion l l l Predatory Pricing is not as common as some people believe. Conditions depend on asymmetry of information. Predatory firm has to have better information on each firm’s costs. l Experiments on theory (Issac and Smith) confirm these aspects. – – Predatory pricing does not occur with complete information. With incomplete information, some players do slash prices to signal toughness (reputation effect).