Mathematical Economics, Minimization

In summary, the conversation discusses the use of a constant elasticity of substitution production function to minimize the cost of producing a given output. The cost is given by a combination of labor and capital, and the firm must simultaneously determine the cost-minimizing demand for both inputs. The conversation also mentions a change of variables that can be used to simplify the calculations. The recommended method for solving the problem involves using a lagrangian and deriving first order conditions.
  • #1
dracolnyte
28
0

Homework Statement


Consider the following general form of a constant elasticity of substitution production function:

y = [SLp + (1 - S)Kp]1/p

Assume a firm is trying to minimize the cost of producing any given y. Cost are given by

C = wL + rK

Find the firm's cost minimizing demand function for L. The cost minimizing demand for K is determined simultaneously, so you need both first order conditions. You may assume that nonneggativity constraints on L and K are not binding.

The Attempt at a Solution


Is y = [SLp + (1 - S)Kp]1/p expandable?
 
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  • #2
Not in any pleasant fashion. Why would you want to expand it?
 
  • #3
because my prof said it would be easier if we let a1 = S1/p and a2 = (1-S)1/p and leave our answers in terms of a1 and a2
 
  • #4
im guessing i can make a1p = S and a2p = (1 - S)
then i would get

y = [a1pLp + a2pKp]1/p

y = [(a1L)p + (a2K)p]1/p
 
  • #5
dracolnyte said:
im guessing i can make a1p = S and a2p = (1 - S)
then i would get

y = [a1pLp + a2pKp]1/p

y = [(a1L)p + (a2K)p]1/p
This is certainly correct.

FYI, I don't think this change of variable has anything to do with how to go about performing this calculation -- it's just a little optional detail that may (or may not) make it less tedious.
 
  • #6
Seems pretty standard. You want to minimize wL + rK over L and K, with y - [SLp + (1 - S)Kp]^1/p = 0 as your constraint. Define the lagrangian and derive the first order conditions by differentiating the lagrangian with respect to L, K, and lambda.
 

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Mathematical economics is a branch of economics that uses mathematical tools and models to analyze economic theories and problems. It combines economic theories, statistical methods, and mathematical optimization techniques to study and understand economic phenomena.

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Mathematical economics plays a crucial role in the field of economics by providing a rigorous and quantitative approach to studying economic problems. It helps economists develop theories, test hypotheses, and make predictions about economic behavior and outcomes. Additionally, mathematical economics allows for more accurate and efficient analysis of complex economic systems, leading to better decision-making and policy recommendations.

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