Cost Function and Scheme

Jul 3, 2024

Cost Function and Scheme Lecture Notes

Introduction

  • Discussion on cost function and its relation to cost minimization.
  • Recap of cost minimization problem.

Cost Minimization Problem

  • Objective: Minimize (W1X1 + W2X2)
    • (X1): Amount of input 1
    • (W1): Cost of one unit of input 1
    • (X2): Amount of input 2
    • (W2): Cost of one unit of input 2
    • Constraint: Produce at least (Y) amount of output

Two-Dimensional Case

  • Used for easier visualization.
  • N-dimensional generalization is possible with summation of (W_i X_i).
  • The problem involves minimizing the total cost given these inputs and their costs.

Solved Cases

  • Linear Technology
    • Isoquant/Production function: (AX1 + BX2)
    • Minimized cost: ( \min(W1/a , W2/b) , y )
    • Optimal amounts of inputs:
      • (X1^* = (W1/a) y) if (W1/a < W2/b)
      • (X1^* = 0) if (W1/a > W2/b)
      • (X2^*) similarly defined
    • General case scenarios discussed.

Conditional Input Demand Function

  • Solution gives optimal input amounts, (X1^) and (X2^), as functions of (W1), (W2), and (Y).
  • Named Conditional Input Demand function.
    • Function: Dependence on (W1), (W2), and (Y)
    • Demand: Reflects the producer's demand for inputs
    • Input: Refers to inputs (X1) and (X2)
    • Conditional: Conditioned by the need to produce at least (Y) units of output

Cost Versus Minimized Cost

  • General cost dependence on market prices and input amounts: (C = f(X1, X2, W1, W2))
  • Minimized cost: Use optimal inputs ((X1^, X2^)), making cost a function of (W1), (W2), and (Y).
  • Cost Function: (C^*(W1, W2, Y))
    • Defines minimized cost given input prices and desired output
    • A notion of optimization inherent in the definition

Example Cost Functions

  • Leontief Function: (Y = \min(aX1, bX2))
    • Cost function: (C^*(W1, W2, Y) = (W1/a + W2/b)Y)
  • Cobb-Douglas Function: (Y = X1^\alpha X2^\beta)
    • Cost function: Similar derived form

Average Cost

  • Average cost derived by dividing total cost by (Y).
  • Observations in linear and Leontief technologies: Average cost independent of (Y).
  • Important caution: Independence from (Y) is not universal.

Conclusion

  • Understanding scale helps contextualize the behavior of cost functions.
  • Key takeaway: Differentiation between general costs and optimized (minimized) costs.