Difference between revisions of "Heterogeneous-cost Cournot Competition"
imported>Ed (New page: Solving the heterogeneous-cost Cournot competition model is pretty straight forward and is a good exercise for both undergraduate and graduate students. Here's how it's done. ==The Set-up...) |
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− | + | ==The Set-up== | |
+ | |||
+ | Suppose that we have inverse-demand given by | ||
+ | |||
+ | :<math>p=A-BQ, \mbox{where }Q = \sum_{i}^{n} q_i </math> | ||
− | + | and there are <math>\;n</math> firms in the market. Firm profit is then given by: | |
− | + | :<math>\pi_i = q_i \left ( p(Q) - c_i \right)</math> | |
==Solving for optimum quantities== | ==Solving for optimum quantities== | ||
+ | Begin by taking a first-order condition: | ||
+ | |||
+ | :<math>2q_i^* = \frac{A - c_i}{B} - \sum_{j \ne i} q_j</math> | ||
+ | |||
+ | We now need two constraints to find the solution. First, we need to solve for <math>\sum_{j\ne i}\;q_j^*</math>. | ||
+ | |||
+ | There are <math>\;n</math> of these first order conditions: | ||
+ | |||
+ | :<math> | ||
+ | \begin{array}{lclllllllllllll} | ||
+ | 2q_1^* &=& \frac{A - c_1}{B}& - &(&0 &+ &q_2 &+ &\ldots &+ &q_{n-1} &+ &q_n &)\\ | ||
+ | 2q_2^* &=& \frac{A - c_2}{B}& - &(&q_1 &+ &0 &+ &\ldots &+ &q_{n-1} &+ &q_n &)\\ | ||
+ | \quad\vdots & & \quad\vdots &&&\vdots&&\vdots&&&&\vdots&&\vdots& \\ | ||
+ | 2q_n^* &=& \frac{A - c_n}{B}& - &(&q_1 &+ &q_2 &+ &\ldots &+ &q_{n-1} &+ &0 &) | ||
+ | \end{array} | ||
+ | </math> | ||
+ | |||
+ | As each of these conditions holds in equilibrium, their sum must all also hold: | ||
+ | |||
+ | :<math>\sum_{i=1}^n 2 q_i^* = \frac{n A - \sum_{i=1}^n c_i - B (n-1) \sum_{i=1}^n q_i}{B} </math> | ||
+ | |||
+ | Noting that <math>\;Q=Q^*</math> in equilibrium, and rearranging gives | ||
+ | |||
+ | :<math>\sum_{j \ne i}^n q_j^* = - q_i^* + \frac{n A - \sum_{i=1}^n c_i}{B (n+1)}</math> | ||
+ | |||
+ | Now we can solve for <math>\;q_i^*</math>. Substituting this into the original first-order condition gives: | ||
+ | |||
+ | :<math>q_i^* = \frac{ A - c_i(n+1) + \sum_{i=1}^n c_i }{B (n+1)}</math> | ||
==Market clearing price and profits== | ==Market clearing price and profits== | ||
+ | Prices always come from the demand function. Firm's don't make profits by setting prices, they make profits by providing less than competitive quantities. Accordingly first find the total quantity provided: | ||
+ | |||
+ | :<math>Q^* = \sum_{i=1}^n q_i^* = \frac{\left ( nA - \sum_{i=1}^n c_i \right )}{B (n+1)}</math> | ||
+ | |||
+ | And then substitute into <math>\;p=A-BQ</math> to get: | ||
+ | |||
+ | :<math>p^* = \frac{A + \sum_{i=1}^n c_i}{n+1}</math> | ||
+ | |||
+ | Now find firm profits by subsituting both <math>\;q_i^*</math> and <math>\;p^*</math> into <math>\;\pi_i = q_i \left ( p(Q) - c_i \right)</math>: | ||
+ | |||
+ | :<math>\pi_i^* = \frac{1}{B }\left (\frac{A - c_i(n+1) + \sum_{i=1}^n c_i }{(n+1)} \right )^2</math> | ||
==Comparison to other solutions== | ==Comparison to other solutions== | ||
+ | |||
+ | First of all note what happens to price as the quantity provided increases with more firms competiting (i.e., we move towards Bertrand competition, where free entry drives economic rents to zero): | ||
+ | |||
+ | :<math>\lim_{n \to \infty} \left ( \frac{A + \sum_{i=1}^n c_i}{n+1} \right ) \implies p \to \min (c_i)</math> | ||
+ | |||
+ | And at the other extreme, we have monopoly pricing: | ||
+ | |||
+ | :<math>p^m = \frac{A + c_i}{2}</math> | ||
+ | |||
+ | When the firms are identical the optimal quantity function simplies to: | ||
+ | |||
+ | :<math>q_i^* = \frac{ A - c }{B (n+1)}</math> | ||
+ | |||
+ | And likewise the profit is then: | ||
+ | |||
+ | :<math>\pi_i^* = \frac{1}{B }\left (\frac{A - c}{n+1} \right )^2</math> |
Latest revision as of 17:29, 11 November 2013
Contents
The Set-up
Suppose that we have inverse-demand given by
- [math]p=A-BQ, \mbox{where }Q = \sum_{i}^{n} q_i [/math]
and there are [math]\;n[/math] firms in the market. Firm profit is then given by:
- [math]\pi_i = q_i \left ( p(Q) - c_i \right)[/math]
Solving for optimum quantities
Begin by taking a first-order condition:
- [math]2q_i^* = \frac{A - c_i}{B} - \sum_{j \ne i} q_j[/math]
We now need two constraints to find the solution. First, we need to solve for [math]\sum_{j\ne i}\;q_j^*[/math].
There are [math]\;n[/math] of these first order conditions:
- [math] \begin{array}{lclllllllllllll} 2q_1^* &=& \frac{A - c_1}{B}& - &(&0 &+ &q_2 &+ &\ldots &+ &q_{n-1} &+ &q_n &)\\ 2q_2^* &=& \frac{A - c_2}{B}& - &(&q_1 &+ &0 &+ &\ldots &+ &q_{n-1} &+ &q_n &)\\ \quad\vdots & & \quad\vdots &&&\vdots&&\vdots&&&&\vdots&&\vdots& \\ 2q_n^* &=& \frac{A - c_n}{B}& - &(&q_1 &+ &q_2 &+ &\ldots &+ &q_{n-1} &+ &0 &) \end{array} [/math]
As each of these conditions holds in equilibrium, their sum must all also hold:
- [math]\sum_{i=1}^n 2 q_i^* = \frac{n A - \sum_{i=1}^n c_i - B (n-1) \sum_{i=1}^n q_i}{B} [/math]
Noting that [math]\;Q=Q^*[/math] in equilibrium, and rearranging gives
- [math]\sum_{j \ne i}^n q_j^* = - q_i^* + \frac{n A - \sum_{i=1}^n c_i}{B (n+1)}[/math]
Now we can solve for [math]\;q_i^*[/math]. Substituting this into the original first-order condition gives:
- [math]q_i^* = \frac{ A - c_i(n+1) + \sum_{i=1}^n c_i }{B (n+1)}[/math]
Market clearing price and profits
Prices always come from the demand function. Firm's don't make profits by setting prices, they make profits by providing less than competitive quantities. Accordingly first find the total quantity provided:
- [math]Q^* = \sum_{i=1}^n q_i^* = \frac{\left ( nA - \sum_{i=1}^n c_i \right )}{B (n+1)}[/math]
And then substitute into [math]\;p=A-BQ[/math] to get:
- [math]p^* = \frac{A + \sum_{i=1}^n c_i}{n+1}[/math]
Now find firm profits by subsituting both [math]\;q_i^*[/math] and [math]\;p^*[/math] into [math]\;\pi_i = q_i \left ( p(Q) - c_i \right)[/math]:
- [math]\pi_i^* = \frac{1}{B }\left (\frac{A - c_i(n+1) + \sum_{i=1}^n c_i }{(n+1)} \right )^2[/math]
Comparison to other solutions
First of all note what happens to price as the quantity provided increases with more firms competiting (i.e., we move towards Bertrand competition, where free entry drives economic rents to zero):
- [math]\lim_{n \to \infty} \left ( \frac{A + \sum_{i=1}^n c_i}{n+1} \right ) \implies p \to \min (c_i)[/math]
And at the other extreme, we have monopoly pricing:
- [math]p^m = \frac{A + c_i}{2}[/math]
When the firms are identical the optimal quantity function simplies to:
- [math]q_i^* = \frac{ A - c }{B (n+1)}[/math]
And likewise the profit is then:
- [math]\pi_i^* = \frac{1}{B }\left (\frac{A - c}{n+1} \right )^2[/math]