Mathematical Economics, Minimization

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Homework Help Overview

The discussion revolves around a problem in mathematical economics, specifically focusing on a constant elasticity of substitution production function and the minimization of production costs. The original poster presents a cost function and seeks to derive the cost-minimizing demand functions for labor and capital.

Discussion Character

  • Exploratory, Mathematical reasoning, Problem interpretation

Approaches and Questions Raised

  • Participants explore the potential to expand the production function and discuss the implications of changing variables to simplify the problem. There are attempts to express the production function in terms of new variables, a1 and a2, to facilitate calculations.

Discussion Status

The discussion is active, with participants sharing their thoughts on variable transformations and the formulation of the Lagrangian for optimization. Some guidance on defining the Lagrangian and deriving first-order conditions has been provided, but no consensus on the best approach has been reached.

Contextual Notes

Participants note that non-negativity constraints on labor and capital are assumed not to be binding, which may influence the approach to the problem. There is also mention of the professor's suggestion regarding variable substitution, indicating a potential instructional context.

dracolnyte
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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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Not in any pleasant fashion. Why would you want to expand it?
 
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
 
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
 
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.
 
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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