Mathematical Economics, Minimization

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SUMMARY

The discussion focuses on minimizing production costs using a constant elasticity of substitution (CES) production function defined as y = [SLp + (1 - S)Kp]1/p. The cost function is given by C = wL + rK, where L is labor and K is capital. Participants emphasize the importance of deriving the firm's cost-minimizing demand functions for both L and K through the Lagrangian method, applying first-order conditions. The transformation of variables to a1 and a2 is noted as a potential simplification, though not essential for solving the problem.

PREREQUISITES
  • Understanding of constant elasticity of substitution (CES) production functions
  • Familiarity with Lagrangian optimization techniques
  • Knowledge of first-order conditions in constrained optimization
  • Basic concepts of production costs and demand functions
NEXT STEPS
  • Study the derivation of first-order conditions in Lagrangian optimization
  • Explore the implications of constant elasticity of substitution in production theory
  • Learn about the application of Lagrange multipliers in economic models
  • Investigate the relationship between production functions and cost minimization strategies
USEFUL FOR

Economics students, researchers in mathematical economics, and professionals involved in production optimization and cost analysis will benefit from this discussion.

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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