Chapter two
Optimal Decisions Using Marginal Analysis
Managerial Economics, 8e
William F. Samuelson ● Stephen G. Marks
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
RECAP
Chapter 2: Optimal Decisions Using Marginal Analysis
U = number of actual users
M = number of potential users
a = % of actual users lost in each period
b = % of potential users gained in each period
The sustainable user base is:
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
2
RECAP
Chapter 2: Optimal Decisions Using Marginal Analysis
= cost of reducing a by 1%
= cost of increasing b by 1%
The optimal allocation of the marketing budget is:
Calculate the derivatives and find the optimal ratio
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
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RECAP
Chapter 2: Optimal Decisions Using Marginal Analysis
The derivatives are:
T
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
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EXAMPLE 1: MICROCHIP MANUFACTURER
Demand:
Revenue:
Chapter 2: Optimal Decisions Using Marginal Analysis
Other factors than price that may impact demand are held fixed. They would affect the parameters.
Sales are lots (of 100 chips) per week.
Price per lot is in thousands of dollars.
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
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Figure 2.1 The demand curve for microchips
Chapter 2: Optimal Decisions Using Marginal Analysis
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
Figure 2.2 revenue from microchips
Chapter 2: Optimal Decisions Using Marginal Analysis
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
EXAMPLE 1:
Cost:
Profit:
Chapter 2: Optimal Decisions Using Marginal Analysis
Quadratic function that increases, then decreases.
Cost is in thousands of dollars.
Fixed cost: $100K per week. Variable cost: $38K per lot.
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
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Figure 2.3 The cost of microchips
Chapter 2: Optimal Decisions Using Marginal Analysis
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
Figure 2.4 Profit from microchips
Chapter 2: Optimal Decisions Using Marginal Analysis
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
Figure 2.5 A close-up view of profit
Chapter 2: Optimal Decisions Using Marginal Analysis
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
EXAMPLE 1:
Profit:
Chapter 2: Optimal Decisions Using Marginal Analysis
Derivative of Q) is the slope of the profit function at Q. Slope is zero at that maximizes profit.
Recall the profit function.
First-order condition:
→
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
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Figure 2.6 Total profit and marginal profit
Chapter 2: Optimal Decisions Using Marginal Analysis
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
DIFFERENTIATION
Chapter 2: Optimal Decisions Using Marginal Analysis
Suppose we have a function of the form:
The derivative is:
Special cases:
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Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
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DIFFERENTIATION
Chapter 2: Optimal Decisions Using Marginal Analysis
For instance, for the function:
Derivatives of the additive terms are:
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
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DIFFERENTIATION
Chapter 2: Optimal Decisions Using Marginal Analysis
The derivative of a sum of terms is the sum of the derivatives of the additive terms:
So:
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Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
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EXAMPLE 2:
Profit:
Chapter 2: Optimal Decisions Using Marginal Analysis
Derivative of Q) is the slope of the profit function at Q. Slope is zero at that maximizes profit.
Suppose we have a quadratic profit function.
First-order condition:
→
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
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Figure 2A.1 The Firm’s Profit Function
Chapter 2: Optimal Decisions Using Marginal Analysis
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
EXAMPLE 3:
Chapter 2: Optimal Decisions Using Marginal Analysis
Consider hypothetically a cubic profit function:
It has two flat points, where its derivative is zero. One is a minimum, one is a maximum.
Profit:
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
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Figure 2A.2 A Second Profit Function
Chapter 2: Optimal Decisions Using Marginal Analysis
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
EXAMPLE 3:
Chapter 2: Optimal Decisions Using Marginal Analysis
Recall the cubic profit function:
Solutions of the first-order condition are Q = 2 and Q = 10. For a maximum, we also need > 6:
First-order condition:
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
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MAXIMA AND MINIMA
Chapter 2: Optimal Decisions Using Marginal Analysis
Near a maximum, a function rises, then falls. Its derivative changes from positive to negative and keeps declining. The derivative of its derivative is negative.
Near a minimum, a function falls, then rises. Its derivative changes from negative to positive and keeps increasing. The derivative of its derivative is positive.
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
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EXAMPLE 4: MULTIVARIATE OPTIMIZATION
Profit:
Chapter 2: Optimal Decisions Using Marginal Analysis
Maximize separately with respect to P and A.
Suppose the firm simultaneously decides on pricing and an advertising budget.
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
23
EXAMPLE 4:
Chapter 2: Optimal Decisions Using Marginal Analysis
Solve jointly by substituting one into the other.
Recall the dual first-order conditions.
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
Copyright © 2015 John Wiley & Sons, Inc. All rights reserved.
24
EXAMPLE 5: CONSTRAINED OPTIMIZATION
Profit:
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