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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.
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