Lecture 3 Marginal Analysis for Optimal Decision Mc

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Lecture 3: Marginal Analysis for Optimal Decision Mc. Graw-Hill/Irwin Copyright © 2011 by the

Lecture 3: Marginal Analysis for Optimal Decision Mc. Graw-Hill/Irwin Copyright © 2011 by the Mc. Graw-Hill Companies, Inc. All rights reserved.

Optimization • An optimization problem involves the specification of three things: • Objective function

Optimization • An optimization problem involves the specification of three things: • Objective function to be maximized or minimized • Activities or choice variables that determine the value of the objective function • Any constraints that may restrict the values of the choice variables 3 -2

Optimization • Maximization problem • An optimization problem that involves maximizing the objective function

Optimization • Maximization problem • An optimization problem that involves maximizing the objective function • Minimization problem • An optimization problem that involves minimizing the objective function 3 -3

Optimization • Unconstrained optimization • An optimization problem in which the decision maker can

Optimization • Unconstrained optimization • An optimization problem in which the decision maker can choose the level of activity from an unrestricted set of values • Constrained optimization • An optimization problem in which the decision maker chooses values for the choice variables from a restricted set of values 3 -4

Choice Variables • Choice variables determine the value of the objective function • Continuous

Choice Variables • Choice variables determine the value of the objective function • Continuous variables • Discrete variables 3 -5

Choice Variables • Continuous variables • Can choose from uninterrupted span of variables •

Choice Variables • Continuous variables • Can choose from uninterrupted span of variables • Discrete variables • Must choose from a span of variables that is interrupted by gaps 3 -6

Net Benefit • Net Benefit (NB) • Difference between total benefit (TB) and total

Net Benefit • Net Benefit (NB) • Difference between total benefit (TB) and total cost (TC) for the activity • NB = TB – TC • Optimal level of the activity (A*) is the level that maximizes net benefit 3 -7

Optimal Level of Activity (Figure 3. 1) Total benefit and total cost (dollars) TC

Optimal Level of Activity (Figure 3. 1) Total benefit and total cost (dollars) TC 4, 000 D • • D’ 3, 000 B 2, 310 • 2, 000 1, 085 1, 000 • F • • B’ • C’ 0 200 TB NB* = $1, 225 C • G A 350 = A* 600 700 1, 000 Level of activity Net benefit (dollars) Panel A – Total benefit and total cost curves 1, 225 1, 000 M • c’’ • • 600 0 Panel B – Net benefit curve d’’ 200 350 = A* 600 A f’’ • Level of activity 1, 000 NB 3 -8

Marginal Benefit & Marginal Cost • Marginal benefit (MB) • Change in total benefit

Marginal Benefit & Marginal Cost • Marginal benefit (MB) • Change in total benefit (TB) caused by an incremental change in the level of the activity • Marginal cost (MC) • Change in total cost (TC) caused by an incremental change in the level of the activity 3 -9

Marginal Benefit & Marginal Cost 3 -10

Marginal Benefit & Marginal Cost 3 -10

Relating Marginals to Totals • Marginal variables measure rates of change in corresponding total

Relating Marginals to Totals • Marginal variables measure rates of change in corresponding total variables • Marginal benefit & marginal cost are also slopes of total benefit & total cost curves, respectively 3 -11

Relating Marginals to Totals (Figure 3. 2) Total benefit and total cost (dollars) TC

Relating Marginals to Totals (Figure 3. 2) Total benefit and total cost (dollars) TC 4, 000 100 320 3, 000 100 • B 520 100 2, 000 640 • C C’ • • F • TB 820 100 • B’ 1, 000 • D D’ • G 520 100 340 A 100 0 200 350 = A* 600 800 1, 000 Level of activity Panel A – Measuring slopes along TB and TC Marginal benefit and marginal cost (dollars) MC (= slope of TC) 8 c (200, $6. 40) 6 5. 20 4 2 • • d’ (600, $8. 20) b • • c’ (200, $3. 40) d (600, $3. 20) • MB (= slope of TB) g 0 200 350 = A* Panel B – Marginals give slopes of totals 600 Level of activity 800 • 1, 000 A 3 -12

Using Marginal Analysis to Find Optimal Activity Levels • If marginal benefit > marginal

Using Marginal Analysis to Find Optimal Activity Levels • If marginal benefit > marginal cost • Activity should be increased to reach highest net benefit • If marginal cost > marginal benefit • Activity should be decreased to reach highest net benefit 3 -13

Using Marginal Analysis to Find Optimal Activity Levels • Optimal level of activity •

Using Marginal Analysis to Find Optimal Activity Levels • Optimal level of activity • When no further increases in net benefit are possible • Occurs when MB = MC 3 -14

Using Marginal Analysis to Find A* (Figure 3. 3) Net benefit (dollars) MB =

Using Marginal Analysis to Find A* (Figure 3. 3) Net benefit (dollars) MB = MC MB > MC 100 300 0 • c’’ 200 MB < MC M • 100 • d’’ 350 = A* 600 500 A 800 1, 000 NB Level of activity 3 -15

Unconstrained Maximization with Discrete Choice Variables • Increase activity if MB > MC •

Unconstrained Maximization with Discrete Choice Variables • Increase activity if MB > MC • Decrease activity if MB < MC • Optimal level of activity • Last level for which MB exceeds MC 3 -16

Irrelevance of Sunk, Fixed, and Average Costs • Sunk costs • Previously paid &

Irrelevance of Sunk, Fixed, and Average Costs • Sunk costs • Previously paid & cannot be recovered • Fixed costs • Constant & must be paid no matter the level of activity • Average (or unit) costs • Computed by dividing total cost by the number of units of the activity 3 -17

Irrelevance of Sunk, Fixed, and Average Costs • These costs do not affect marginal

Irrelevance of Sunk, Fixed, and Average Costs • These costs do not affect marginal cost & are irrelevant for optimal decisions 3 -18

Constrained Optimization • The ratio MB/P represents the additional benefit per additional dollar spent

Constrained Optimization • The ratio MB/P represents the additional benefit per additional dollar spent on the activity • Ratios of marginal benefits to prices of various activities are used to allocate a fixed number of dollars among activities 3 -19

Constrained Optimization • To maximize or minimize an objective function subject to a constraint

Constrained Optimization • To maximize or minimize an objective function subject to a constraint • Ratios of the marginal benefit to price must be equal for all activities • Constraint must be met 3 -20