Difference between revisions of "Heterogeneous-cost Cournot Competition"

From edegan.com
Jump to navigation Jump to search
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...)
 
imported>Ed
Line 1: Line 1:
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==
  
==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:
  
Suppose that we have
+
:<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>\;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{\left ( A - c_i(n+1) + \sum_{i=1}^n c_i \right )}{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, the 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==

Revision as of 21:33, 10 November 2013

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]\;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{\left ( A - c_i(n+1) + \sum_{i=1}^n c_i \right )}{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, the 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