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Microeconomics Workshop: Microeconomics Workshop: Fall 2003 Fall 2003
Professor David Besanko
These notes have been prepared for participants in a workshop sponsored by the Kellogg Consulting Club. They may not be reproduced or circulated without permission of Professor David Besanko.
Objectives and Road Map for the TalkObjectives and Road Map for the Talk
OBJECTIVES:• Provide primer on basic microeconomic concepts that will be useful for
consulting interviews• To illustrate how micro concepts can be used, in conjunction with case
facts, to develop hypotheses about situations with ambiguous or messy fact patterns.
• Goal is not to explore the deeper theoretical dimensions of the concepts themselves
ROAD MAP:• Supply and Demand Analysis• Price Elasticity of Demand• Relevant Costs and Decision Making• Profit-Maximizing Pricing Decisions• Decision Making in Oligopoly Markets• Sample Consulting Interview Case
© 2003 David Besanko and Kellogg Consulting Club2
1.1. Supply and Demand AnalysisSupply and Demand Analysis2. Price Elasticity of Demand3. Relevant Costs and Decision Making4. Profit-Maximizing Pricing Decisions5. Decision Making in Oligopoly Markets6. Sample Consulting Interview Case
© 2003 David Besanko and Kellogg Consulting Club3
Market Equilibrium: What Will the Market Price Be?Market Equilibrium: What Will the Market Price Be?
• In equilibrium, the market clears: quantity demanded equals quantity supplied.
• Why is P = $4,000 not an equilibrium? At this price, quantity supplied exceeds quantity demanded. There is excess supply. The price will be bid down.
• Why is P = $1,000 not an equilibrium? At this price, quantity demanded exceeds quantity supplied. There is excess demand. The price will be bid up.
2,5002,0001,5001,000500
4,000
1,000
0
Price ($ per metric ton)
D
S
2,670
1,310
Excess supplywhen P = $4,000
Excess demand when P = $1,000
Quantity(metric tons per year)
© 2003 David Besanko and Kellogg Consulting Club4
Case: Chicken BroilersCase: Chicken Broilers
1900 1950 1990
U.S. per capitaconsumption
Price(adjusted forinflation)
What accounts for this patternof prices and consumption?
PRIC
E an
d C
ON
SUM
PTIO
NIN
DEX
for B
RO
ILER
S
YEAR
© 2003 David Besanko and Kellogg Consulting Club5
Price
D1950D1990
S1950
S1990
market equilibrium:1950
market equilibrium:1990
Quantity
© 2003 David Besanko and Kellogg Consulting Club6
Price
D1950D1990
S1950
S1990
Key Demand Drivers• changes in consumer tastes• health concerns
Key Supply Drivers• technological progress• entry of new producers
market equilibrium:1950
market equilibrium:1990
Quantity
© 2003 David Besanko and Kellogg Consulting Club7
Demand and Supply DriversDemand and Supply Drivers
Demand drivers are factors --- other than the price of the product itself ---that affect the product’s demand.
Supply drivers are factors --- other than the price of the product itself ---that affect the product’s supply.
• Common supply drivers:– prices of key inputs in the
production process – number of active firms in
industry.– prices of other goods firms
could/does produce– state of technology– temporary “shocks”
• Common demand drivers:– market demographics– prices of other good– macroeconomic factors– marketing activity– consumer tastes
© 2003 David Besanko and Kellogg Consulting Club8
1. Supply and Demand Analysis2.2. Price Elasticity of DemandPrice Elasticity of Demand3. Relevant Costs and Decision Making4. Profit-Maximizing Pricing Decisions5. Decision Making in Oligopoly Markets6. Sample Consulting Interview Case
© 2003 David Besanko and Kellogg Consulting Club9
Price Elasticity of DemandPrice Elasticity of Demand
“Own” Price Elasticity of Demand: measure of the sensitivity of quantity demandedto price:
QP
PQ
PP
PQ ∆∆
=∆
∆
=,ε = rate of percentage change in quantityas price changes by one percent
pricein change percentage
quantityin change percentage
=∆
=∆
PP
QQ Price
© 2003 David Besanko and Kellogg Consulting Club10
Quantity
Inelastic demand
Elastic demand
Price Elasticity of DemandPrice Elasticity of Demand
“Own” Price Elasticity of Demand: measure of the sensitivity of quantity demandedto price:
QP
PQ
PP
PQ ∆∆
=∆
∆
=,ε = rate of percentage change in quantityas price changes by one percent
pricein change percentage
quantityin change percentage
=∆
=∆
PP
QQ Price
© 2003 David Besanko and Kellogg Consulting Club11
Quantity
Inelastic demand
$1.20
$1.00
1092
Elastic demand
Terminology ConventionsTerminology Conventions
In general, - < εQ,P < 0 8
If …
εQ,P is between –1 and - , we say demand is elastic.
εQ,P is between 0 and –1, we demand is inelastic.
εQ,P = -1, we say demand is unitary elastic.
8
© 2003 David Besanko and Kellogg Consulting Club12
MarketMarket--Level Versus BrandLevel Versus Brand--Level Price Elasticities Level Price Elasticities of Demandof Demand
• Market-level price elasticity of demand – What happens to market demand for a product when the
prices of all brands in the market go up or down at the same time?
• Brand-level price elasticity of demand– What happens to the demand for a particular brand when the
price of that brand goes up or down, holding the prices of other brands fixed?
© 2003 David Besanko and Kellogg Consulting Club13
MarketMarket--Level Versus FirmLevel Versus Firm--Level Price Elasticities of Level Price Elasticities of DemandDemand
• Price elasticity of demand for BMW 325 is on the order of -3.5 to -4.
• Price elasticity of demand for individual brands, such as Captain Crunch, is on the order -2 to -4.
• Price elasticity of market demand for automobiles is between -1 and -1.5
• Price elasticity of demand for ready-to-eat breakfast cereal in the U.S. is on the order of -0.25 to -0.5.
© 2003 David Besanko and Kellogg Consulting Club14
Key Drivers of Price ElasticityKey Drivers of Price Elasticity
• Substitution opportunities: Do consumers have readily available close substitutes to which they can switch if necessary?
© 2003 David Besanko and Kellogg Consulting Club15
CarbonatedBeveragesDiet Colas ColasDiet Pepsi Beverages
ELASTIC INELASTICMore price inelastic(εQ,P less negative)
• Expense relative to budget: Do expenditures for the good account for a large fraction of a consumer’s budget?
Household Items(e.g., Salt, Napkins)
“Big Ticket” Consumer Durables
More price inelastic(εQ,P less negative)
ELASTIC INELASTIC
Case: Airline Pricing Experiments, Fall 2002Case: Airline Pricing Experiments, Fall 2002
• Last year at this time, some airlines (e.g., Continental, Delta)experimented with cuts in unrestricted “walk-up” fares (generally used for business travel)
– e.g., Delta lowered “walk-up” fares by about 21 percent in small markets over a seven-week period
– Fare cuts were generally matched by competing airlines in these markets– Conventional wisdom: cuts in unrestricted “walk-up” fares result in decreases
in total revenues– Results of Delta’s experiments: double-digit increase in total revenue
What does conventional wisdom assume about the price elasticity of demand for business air travel?
What do Delta’s pricing experiments tell us about the price elasticity of demand for business air travel?
© 2003 David Besanko and Kellogg Consulting Club16
Price Elasticity of Demand and the Effect of Price Elasticity of Demand and the Effect of Changes in Price on Total RevenueChanges in Price on Total Revenue
QP
PQ
PP
PQ ∆∆
=∆
∆
=,ε
( ) ( )
( )PQQQP
PQQ
PQPQ
PQPPQ
PQP
PTR
,1
1
)(
ε+=
⎟⎟⎠
⎞⎜⎜⎝
⎛∆∆
+=
∆∆
+=
∆∆×+∆×
=∆×∆
=∆∆
recall:
• Decrease in price has a dual affect on total revenue:– Revenue on each ticket sold goes down … but the number of tickets sold goes up! Which
effect dominates?– If rate at which tickets are sold goes up faster than rate at which price falls, then we’d
expect total revenue would go up– Not quite precise enough, though: what do we mean by “rate at which tickets are sold goes
up”, “rate at which price falls”?
First, some words …
Now, somemath…
© 2003 David Besanko and Kellogg Consulting Club17
If demand is elastic, i.e., εQ,P between -1 and -∞, thenand a decrease in price yields an increase in total revenue
0<∆∆
PTR
1. Supply and Demand Analysis2. Price Elasticity of Demand3.3. Relevant Costs and Decision MakingRelevant Costs and Decision Making4. Profit-Maximizing Pricing Decisions5. Decision Making in Oligopoly Markets6. Sample Consulting Interview Case
© 2003 David Besanko and Kellogg Consulting Club18
The Relevant Cost Principle: The Relevant Cost Principle: The Costs That Are Relevant to a Particular The Costs That Are Relevant to a Particular
Decision Are Those Whose Level is Affected By the Decision Are Those Whose Level is Affected By the DecisionDecision
• Suppose your company contemplates a temporary shut-down of one of its factories for a period of one year.
• Consider all categories of cost associated with the existence of this factory, the production of output in this factory, and the possible shut-down of this factory: – Which categories are relevant to the shut-down decision?
• Relevant costs:– What costs do you avoid if you shut down this factory? What extra
costs do you incur if you shut down this factory? These are categories that are relevant.
– Costs whose level is not affected by the shut-down decision are irrelevant to the shut-down decision
© 2003 David Besanko and Kellogg Consulting Club19
Relevant Costs and Decision MakingRelevant Costs and Decision Making
• Company incurs $50,000 per year in labor and materials costs at the current rate of volume
• It has signed a five-year lease on the facility that entails an annual payment of $70,000: the company cannot get out of this lease.
• A useful way to picture which costs are relevant to the decision is to draw a decision tree:
Labor and Materials Costs (000)
Leasingexpense (000)
© 2003 David Besanko and Kellogg Consulting Club20
Keep factory open andproduce at currentvolume
Revenue (000)
Totalcost(000)
$100 $50
$0 $0
$70
$70
$120
Shut the factory down
Your choice
$70
These costs varyacross the alternatives:they are relevant tothis decision
This cost does notvary across the alternatives:it is not relevant tothis decision
Case: Relevant Costs for a Pricing Decision*Case: Relevant Costs for a Pricing Decision*
• Client is market-leading producer of a variety of different types of synthetic fabrics used in a wide range of applications
• Client has asked for advice on how to price M-50, a particular fiber based on a blend of rayon, nylon, and other synthetic fibers.
• Current price is $4 per yard; client is considering setting a price of $3.
• Current quarterly volume is about 95,000 yards; expected volume if price is cut to $3 is 155,000.
• There is only one other supplier of M-50, and it is currently charging a price of $3 per yard. Our best available information suggests that the competitor will not cutits price if client cuts to $3 per yard.
• Some other information:– M-50 is produced in a multi-purpose plant that is also used to produce other
synthetic fabrics– Company sales people are paid straight salaries
© 2003 David Besanko and Kellogg Consulting Club21* Based on Beauregard Textile Company, HBS Case 9-191-058
Case: Relevant Costs for a Pricing DecisionCase: Relevant Costs for a Pricing Decision
Estimated Cost per Yard of M-50 at Various Volumes of ProductionM-50 Quarterly Production Volume in Yards of Material
35,000 65,000 95,000 125,000 155,000 185,000 215,000 245,000Direct Labor 0.860$ 0.830$ 0.800$ 0.780$ 0.760$ 0.740$ 0.760$ 0.800$ Material 0.400$ 0.400$ 0.400$ 0.400$ 0.400$ 0.400$ 0.400$ 0.400$ Materials spoilage 0.042$ 0.040$ 0.040$ 0.040$ 0.038$ 0.038$ 0.038$ 0.040$ M-50 department expenses
Direct* 0.198$ 0.140$ 0.120$ 0.112$ 0.100$ 0.100$ 0.100$ 0.100$ Indirect** 1.714$ 0.923$ 0.632$ 0.480$ 0.387$ 0.324$ 0.279$ 0.245$
General overhead*** 0.258$ 0.249$ 0.240$ 0.234$ 0.228$ 0.222$ 0.228$ 0.240$ Unit factory cost 3.472$ 2.582$ 2.232$ 2.046$ 1.913$ 1.824$ 1.805$ 1.825$
SG&A expenses**** 2.257$ 1.678$ 1.451$ 1.330$ 1.244$ 1.186$ 1.173$ 1.186$ Unit cost 5.729$ 4.260$ 3.682$ 3.376$ 3.157$ 3.010$ 2.978$ 3.011$
* Power, supplies, repairs** Depreciation and supervisory personnel*** Insurance, security, plant accounting, plant manager’s salary: allocated to M50 at rate equal to 30 percent of M-50
direct labor expenses**** Company selling, general, administrative expenses: allocated to M50 at a rate equal to 65 percent of M50 unit factory
cost
© 2003 David Besanko and Kellogg Consulting Club22
Case: Relevant Costs for a Pricing DecisionCase: Relevant Costs for a Pricing Decision
Price = $4 per yard
Price = $3 per yard
Client’schoice
Quantity Sold Revenue
Direct Labor Material
Material Spoilage
Direct Dept. Expense
Indirect Dept. Expense
Gen'lOH SG&A
95,000 $380,000 76,000$ 38,000$ 3,800$ 11,400$ 60,000$ X Y
155,000 $465,000 117,800$ 62,000$ 5,890$ 15,500$ 60,000$ X Y
relevant not relevant
© 2003 David Besanko and Kellogg Consulting Club23
Case: Relevant Costs for a Pricing DecisionCase: Relevant Costs for a Pricing Decision
Contributionto companyprofit$250,800
Price = $4 per yard
Price = $3 per yardPrice = $3 per yard
Client’schoice
Quantity Sold Revenue
Direct Labor Material
Material Spoilage
Direct Dept. Expense
95,000 380,000$ 76,000$ 38,000$ 3,800$ 11,400$
155,000 465,000$ 117,800$ 62,000$ 5,890$ 15,500$ $263,8100*$263,8100*
relevant
*$263,810 = $465,000 - $117,800 - $62,000 - $5,890 - $15,500
© 2003 David Besanko and Kellogg Consulting Club24
Key Cost ConceptsKey Cost Concepts
• Total cost (TC): sum total of the firm’s variable and fixed costs
• Average total cost (ATC): total cost per unit
• Marginal cost (MC): rate at which total cost changes as output changes
QTCATC =
QTCMC∆∆
=
© 2003 David Besanko and Kellogg Consulting Club25
IllustrationIllustration
• Total cost:
• Average total cost:
• Marginal cost:
QTC 5100+=
5100
5100
+=
+==
Q
QTCATC
© 2003 David Besanko and Kellogg Consulting Club26
[ ] [ ]
5
5
5100)(5100
=∆∆
=
∆+−∆++
=∆∆
=
QQQQ
QTCMC
1. Supply and Demand Analysis2. Price Elasticity of Demand3. Relevant Costs and Decision Making4.4. ProfitProfit--Maximizing Pricing DecisionsMaximizing Pricing Decisions5. Decision Making in Oligopoly Markets6. Sample Consulting Interview Case
© 2003 David Besanko and Kellogg Consulting Club27
What PriceWhat Price--Quantity Combination on this Demand Curve Quantity Combination on this Demand Curve Should the Firm Choose?Should the Firm Choose?
P ($ per unit)
1211109876543210
100
90
80
70
60
50
40
30
20
10
0
MC
D
© 2003 David Besanko and Kellogg Consulting Club28
Q (units per year)
To Evaluate the Profitability of a Change in Quantity and Price,To Evaluate the Profitability of a Change in Quantity and Price,We Compare Marginal Revenue and Marginal CostWe Compare Marginal Revenue and Marginal Cost
© 2003 David Besanko and Kellogg Consulting Club29
Marginal Revenue = ∆TR/∆Q= (B + E - A) ÷ ∆Q= ($80 - $10)/1 unit= $70 per unit
Marginal Cost = ∆TC/∆Q= E ÷ ∆Q= $30 per unit
1211109876543210
100
90
80
70
60
50
40
30
20
10
0
P ($ per unit)
A
B
MC
E
D
Q (units per year)
Marginal Revenue Changes as We Slide Down the Marginal Revenue Changes as We Slide Down the Demand CurveDemand Curve
Marginal Revenue at P = 90, Q = 1 = (B + E - A) ÷ ∆Q
= ($80- $10)/1 unit= $70 per unit
1211109876543210
100
90
80
70
60
50
40
30
20
10
0
MC
D
P ($ per unit)
B
E
A
© 2003 David Besanko and Kellogg Consulting Club30
Q (units per year)
Marginal Revenue Changes as We Slide Down the Marginal Revenue Changes as We Slide Down the Demand CurveDemand Curve
1211109876543210
100
90
80
70
60
50
40
30
20
10
0
MC
D
P ($ per unit)
Marginal Revenue at P = 60, Q = 4 = (G + H - F) ÷ ∆Q
= ($50 - $40)/1 unit= $10 per unit
Marginal Revenue at P = 90, Q = 1 = (B + E - A) ÷ ∆Q
= ($80- $10)/1 unit= $70 per unit
F
G
H
B
E
A
© 2003 David Besanko and Kellogg Consulting Club31
Q (units per year)
Marginal Revenue Changes as We Slide Down the Marginal Revenue Changes as We Slide Down the Demand CurveDemand Curve
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100
90
80
70
60
50
40
30
20
10
0
MC
D
P ($ per unit)
MR
© 2003 David Besanko and Kellogg Consulting Club32Q (units per year)
ProfitProfit--Maximizing Pricing: Marginal AnalysisMaximizing Pricing: Marginal Analysis
MCMRQ
QTC
QTR
Q
−=∆∆
∆∆
−∆∆
=∆∆
π
π
• Profits will go up if you ...- Expand output when MR > MC- Reduce output when MR < MC
Profits are maximized when the firm produces at a volume of output at which MR is just equal to MC
© 2003 David Besanko and Kellogg Consulting Club33
What PriceWhat Price--Quantity Combination Should the Firm Quantity Combination Should the Firm Choose?Choose?
1211109876543210
100
90
80
70
60
50
40
30
20
10
0
MC
D
P ($ per unit)
MR
MR > MC
MR > MC:we can increaseprofit by increasingQ
MR < MC MR < MC:we can increaseprofit by decreasing Q
© 2003 David Besanko and Kellogg Consulting Club34Q (units per year)
© 2003 David Besanko and Kellogg Consulting Club35
Profit is Maximized at the PriceProfit is Maximized at the Price--Quantity Quantity Combination at Which Combination at Which MRMR = = MCMC
Q (units per year)
1211109876543210
100
90
80
70
60
50
40
30
20
10
0
P ($ per unit)
MR3.5
MC
D
MR = MC(the “sweet
spot”)65
© 2003 David Besanko and Kellogg Consulting Club36
ProfitProfit--Maximizing Output With a “Consultant’s” Cost Maximizing Output With a “Consultant’s” Cost Curve.”Curve.”
$/ton
$1.00
$1.50
0 100 150 175
MC$2.00
PLANT 1 PLANT 2 PLA
NT
3
Q (tons per year)
$2.50 • Height of each blockis the MC of producing in each plant.
• What is the profit-maximizingprice and volume?
capacity plant 1
MR
D
Marginal Revenue Depends on Price ElasticityMarginal Revenue Depends on Price Elasticity
Q (units per year)
P ($ per unit)
100
10
0
DA
150
7
A
B
initialprice
• Initial price is $10, and initial quantity is 100 units
• We want to increase Q by 50 units ⇒ our new P must be $7/unit
• MRB = (B – A) ÷ 50= (350 – 300)/50= $1.00 per unit, or 14.3% of new price
© 2003 David Besanko and Kellogg Consulting Club37
Marginal Revenue Depends on Price ElasticityMarginal Revenue Depends on Price Elasticity
P ($ per unit)
Q (units per year)
© 2003 David Besanko and Kellogg Consulting Club38
100
10
9
0
DA
DB
150
A
B
When demand is more elastic, MR is a bigger fraction of price
Along which demand curve is thetemptation to increase volumegreater?
• Initial price is $10, and initial quantity is 100 units
• We want to increase Q by 50 units ⇒ our new P is $9
• MRB = (B – A) ÷ 50= (450 - 100)/50= $7.00 per unit, or 77.7% of new price
initialprice
Marginal Revenue and ElasticityMarginal Revenue and Elasticity
• Return to our formula for marginal revenue:
QQPPMR
∆∆
+=
• If we rearrange terms in this formula, we get this:
⎟⎟⎠
⎞⎜⎜⎝
⎛∆∆
+=PQ
QPPMR 1
continued …
© 2003 David Besanko and Kellogg Consulting Club39
Marginal Revenue and ElasticityMarginal Revenue and Elasticity
• But now recall the definition of the price elasticity of demand, whichwe denote by E:
QP
PQ
PP
PQ ∆∆
=∆
∆
==pricein change %
quantityin change %,ε
PQ
QP
PQ ∆∆
=,
1ε
⇒
• Plugging in to the formula on the previous slide gives us a formula for MR in terms of the price elasticity of demand:
© 2003 David Besanko and Kellogg Consulting Club40
⎟⎟⎠
⎞⎜⎜⎝
⎛+=
PQ
PMR,
11ε
Inverse Elasticity Pricing Rule (IEPR)Inverse Elasticity Pricing Rule (IEPR)
PQ
PQ
PMCP
MCPMCMR
,
,
1
11
ε
ε
−=−
⇒
=⎟⎟⎠
⎞⎜⎜⎝
⎛+⇒=
Inverse Elasticity Pricing Rule
Percentage Contribution Margin (PCM)
• IEPR in words: At the optimal monopoly output the markup of price over marginal cost --- the percentage contribution margin ---is inversely proportional to the price elasticity of demand.
© 2003 David Besanko and Kellogg Consulting Club41
Case: Pricing a Proprietary Chemical CompoundCase: Pricing a Proprietary Chemical Compound• Client:
– Specialty chemical producer selling a version of TiO2, called TiO2+, produced via a proprietary process.
– Higher purity and superior refractive index– Two major end-user segments: paint industry
and high-pressure laminate (HPL) industry.
• Pricing strategy:– Client sets price to “cover costs” and provide
return on investment. All customers charged a common price.
– Client increased price by 5 percent last year to cover increases in cost.
• Distribution strategy:– All TiO2+ distributed to customers from a
terminal situated on a major rail line. – Client does not “see” HPL customers because
product is sold to intermediary who packages TiO2+ in special way to facilitate the usage of TiO2+ in production of laminates.
• Paint industry:– Volume of TiO2+ sold to paint industry
customers fell by 17.5 percent between 2002 and 2003.
• HPL industry:– Volume of TiO2+ sold to HPL industry declined
by 10 percent between ’02 and ‘03
How can client unlock additional profitability through its pricing strategy?
© 2003 David Besanko and Kellogg Consulting Club42
Quick and Dirty Estimates of Price Elasticity of Quick and Dirty Estimates of Price Elasticity of DemandDemand
• Paint industry seems to have more elastic demand for TiO2+ than HPL industry
• HPL: %∆P = 5%, %∆Q = -10%, implying εQ,P = -2.
• Paint: %∆P = 5%, %∆Q = -17.5%, implying εQ,P = -3.5.
• So What?
© 2003 David Besanko and Kellogg Consulting Club43
Customize Price According to Price ElasticityCustomize Price According to Price Elasticity
• We can compute MR:– MRPaint = P(1 + 1/εPaint) = 10(1 + 1/(-3.5)) = $7.14– MRHPL = P(1 + 1/εHPL) = 10(1 + 1/(-2)) = $5.00
• We don’t know marginal cost, but we can still identify a change that will increase profit at zero cost. Can you see it?
© 2003 David Besanko and Kellogg Consulting Club44
Customize Price According to Price ElasticityCustomize Price According to Price Elasticity
• We can compute MR:– MRPaint = P(1 + 1/εPaint) = 10(1 + 1/(-3.5)) = $7.14– MRHPL = P(1 + 1/εHPL) = 10(1 + 1/(-2)) = $5.00
• We don’t know marginal cost, but we can still identify a change that will increase profit at zero cost. Can you see it?
• Zero cost way to increase profits– Increase price to the HPL segment. Demand will fall by -∆Q.– Decrease price to the Paint segment so that demand goes up by ∆Q, just
enough to compensate for the decline in the HPL segment.– Costs don’t change– Revenue goes up by $7.15 ∆Q - $5.00∆Q– This is called price discrimination, price customization, or revenue
management.
• But how do you prevent arbitrage?
© 2003 David Besanko and Kellogg Consulting Club45
Price Customization ChallengesPrice Customization Challenges
• Segmentation: – Are there market segments that differ according to their price
elasticity of demand?
• Identification: – Can we identify which segment any particular customer belongs
to?
• Implementation: – Can we develop mechanisms (marketing, distribution,
packaging, etc.) to prevent arbitrage?
© 2003 David Besanko and Kellogg Consulting Club46
An Implementation Problem*An Implementation Problem*
• DuPont and Rohm and Haas charged 85 cents per pound to general industrial users of methy methacrylate, a plastic molding powder, but charged $22 per pound for a special mixture sold to manufacturers of dentures
• Attracted arbitageurs who purchased at 85 cents a pound, incurred modest conversion costs, and undercut DuPont and R&H’s denture price
• R&H considered a strategy of spiking the powder: adding arsenic to industrial powder.
• Other strategies?
© 2003 David Besanko and Kellogg Consulting Club47
*This example comes from Scherer, F.M. and D. Ross, Industrial Market Structure and Economic Performance, 3rd edition (Boston: Houghton Mifflin), 1991.
1. Supply and Demand Analysis2. Price Elasticity of Demand3. Relevant Costs and Decision Making4. Profit-Maximizing Pricing Decisions5.5. Decision Making in Oligopoly MarketsDecision Making in Oligopoly Markets6. Sample Consulting Interview Case
© 2003 David Besanko and Kellogg Consulting Club48
Types of Industry StructuresTypes of Industry Structures
Number of competitors in the market?Product differentiation?
Many Few One
Competitors produce differentiated products
Monopolistic competition
Examples: Local physicians marketsMutual fundsCredit card issuers
Differentiated product oligopoly
Examples:ColaAutomobilesBeer
Competitors produce identical or nearly identical products
Perfect competition
Examples: Fresh-cut rosesCopper miningChicken broilers
Homogeneous product oligopoly
Examples:Salt SteelEthylene
Monopoly
Examples:PC Operating systemsInternet domain name registry (until 2000)
© 2003 David Besanko and Kellogg Consulting Club49
Price Levels and Market Structure in an OligopolyPrice Levels and Market Structure in an Oligopoly
• Generally speaking, the more sellers a market includes, the more difficult it is to maintain prices above marginal costs. Why?
• More competitors ⇒ bigger (in absolute value) brand-level price elasticities (due to greater substitution opportunities for consumers)– Thus: price cuts becomes a more tempting competitive “weapon,”
resulting in lower PCMs (remember the IEPR).
• Fewer competitors ⇒ easier for firms to independently and tacitly to work their way toward the price a monopolist would charge …and avoid the paranoia that leads to unilateral price cutting. Why? – More fertile setting for price and/or capacity leadership to emerge– Market more transparent– Less likely that mavericks or rogues will disrupt industry discipline– Lower likelihood of disagreement about most advantageous price
© 2003 David Besanko and Kellogg Consulting Club50
Case: Global Nickel Industry in 1999Case: Global Nickel Industry in 1999
Cash Costs By Nickel Mine in Global Nickel Industry, 1999
Cash Cost (cents per lb)
58.581.4
100.3131.3138.7139.5142.3154.1165.9171.9180.6183.7218.2
Capacity (tonnes)
4.427.050.035.942.021.0
103.012.040.028.846.032.0
7.7
CompanyCentaur MiningAnaconda NickelIncoWMCWMCFalconbridgeIncoWMCFalconbridgeBillitonIncoFalconbridgeOutokumpu
CountryCawse AustraliaMurrin Murrin AustraliaSoroako IndonesiaLeinster AustraliaMt Keith AustraliaRaglan CanadaOntario Division CanadaKambalda AustraliaSudbury CanadaCerro Matoso ColombiaManitoba Division CanadaFalcondo Dominican RepublicForrestania Australia
© 2003 David Besanko and Kellogg Consulting Club51source: Minecost.com
World Mine Cost Data Exchange
Industry Supply Curve: Global Nickel Industry, 1999Industry Supply Curve: Global Nickel Industry, 1999
© 2003 David Besanko and Kellogg Consulting Club52
Cumulative Capacity (kilotons per year)
Cas
h co
st p
er u
nit (
cent
s per
pou
nd)
0
50
100
150
200
250
300
0 50 100 150 200 250 300 350 400 450 500
Falc
onbr
idge
Out
oKum
po
Falc
onbr
idge
INC
0
Bill
iton
Falc
onbr
idge
WM
C
WM
C
INC
0
Ana
cond
a N
icke
l
INC
O
Centaur Mining
Each bar represents an individual nickel mineWhat will the market price be?
WM
C
Industry Supply Curve: Global Nickel Industry, Industry Supply Curve: Global Nickel Industry, 1999: What Do We Learn?1999: What Do We Learn?
0
50
100
150
200
250
300
0 50 100 150 200 250 300 350 400 450 500
Falc
onbr
idge
Out
oKum
po
Falc
onbr
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INC
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Bill
iton
Falc
onbr
idge
WM
C
WM
C
WM
C
INC
0
Ana
cond
a N
icke
l
INC
O
Centaur Mining
Price is set by the “marginal” producer: firm whose capacity is just “outside” the market
Cas
h co
st p
er u
nit (
cent
s per
pou
nd)
D, industry demand curve
142.3
Cumulative Capacity (kilotons per year)
© 2003 David Besanko and Kellogg Consulting Club53
Industry Supply Curve: Global Nickel Industry, 1999 Industry Supply Curve: Global Nickel Industry, 1999 Strategic AnalysisStrategic Analysis
0
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0 50 100 150 200 250 300 350 400 450 500
Falc
onbr
idge
Out
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iton
Falc
onbr
idge
WM
C
WM
C
INC
0
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cond
a N
icke
l
INC
O
Centaur Mining
142.3
D
INCO is the client: What strategies would you recommend for INCO to increase profitability in the nickel industry?
Cas
h co
st p
er u
nit (
cent
s per
pou
nd)
WM
C
Cumulative Capacity (kilotons per year)
© 2003 David Besanko and Kellogg Consulting Club54
Cash Costs By Nickel Mine in Global Nickel Cash Costs By Nickel Mine in Global Nickel Industry: 1999Industry: 1999
0
50
100
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250
300
0 50 100 150 200 250 300 350 400 450 500
Falc
onbr
idge
Out
oKum
po
Falc
onbr
idge
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iton
Falc
onbr
idge
WM
C
WM
C
INC
0
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cond
a N
icke
l
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142.3
171.9
One possibility: Capacity withdrawal
Cas
h co
st p
er u
nit (
cent
s per
pou
nd)
WM
C
D
Cumulative Capacity (kilotons per year)
© 2003 David Besanko and Kellogg Consulting Club55
1. Supply and Demand Analysis2. Price Elasticity of Demand3. Relevant Costs and Decision Making4. Profit-Maximizing Pricing Decisions5. Decision Making in Oligopoly Markets6.6. Sample Consulting Interview CaseSample Consulting Interview Case
© 2003 David Besanko and Kellogg Consulting Club56
Situation: Broadly DescribedSituation: Broadly Described
• Client is a wholesale distributor of a variety of food products. Client has a steady stream of business, but is looking to unlock additional profitability from its existing line of business.
• Your question: What major areas would you want to look at to assess how client could increase profitability?
© 2003 David Besanko and Kellogg Consulting Club57
Situation: Some Additional BackgroundSituation: Some Additional Background
• Market economics– Industry demand growing at the rate of GDP– No new competitors have entered the market in the last several years
• Company’s position and characteristics– Client is industry market share leader– Products sold to a range of customers, primarily hotels and restaurants,
ranging from high-end to low-end– Gross margins: generally above average, but dependent on customer and
product
• Competitive dynamics may depend on the region
© 2003 David Besanko and Kellogg Consulting Club58
Some Additional BackgroundSome Additional Background
1997
© 2003 David Besanko and Kellogg Consulting Club59
5%
40%
55%
Client Competitor #1 Competitor #2 Others
Shar
e of
sale
s by
regi
on
0% 25% 50% 75% 100%
Asia
Europe
North America
ClientCompetitor
#1Competitor
#2 Others
Share of relevant market
20002000
15%
35%
50%
5%
40%
55%
19971997
More Background: More Background: Industry Evolution Over TimeIndustry Evolution Over Time
Client Competitor#1
Competitor#2
Others
Shar
e of
sale
s by
regi
on
Client Competitor#1
Competitor#2
OthersAsia
Europe
NorthAmerica
Shar
e of
sale
s by
regi
on
0% 25% 50% 75% 100% 0% 25% 50% 75% 100%
Share of relevant market Share of relevant market
How Would You Characterize the Industry in the U.S. and Asia in 2000? What are the Implications for Price-Cost Margins?
© 2003 David Besanko and Kellogg Consulting Club60
How Would You Characterize the How Would You Characterize the Industry in the U.S. and Asia in 2000? Industry in the U.S. and Asia in 2000?
What are the Implications for PriceWhat are the Implications for Price--Cost Margins?Cost Margins?
• The U.S. market can be characterized as a duopoly in which client is the dominant firm. In Asia, by contrast, the market is less concentrated.
• Price competition should be relatively softer in the U.S. market than in Asia:
– Fewer competitors in U.S. More fertile ground for communication and coordination strategies, such as price leadership.
– U.S. market probably more transparent (e.g., better knowledge of competitor costs, easier to track competitor moves), engendering less paranoia.
– Firms probably face more price-elastic demand in Asia than in U.S.– Client is not the dominant firm in Asia, and has weaker incentive to preserve
industry discipline in Asia than in U.S.
• Price-cost margins should be higher in the U.S. than in Asia, and prices in Asia may tend toward marginal cost.
© 2003 David Besanko and Kellogg Consulting Club61
““Generic” Strategies for Unlocking Additional Generic” Strategies for Unlocking Additional ProfitabilityProfitability
• Increase gross margin– reduce COGS per unit– increase average revenue per unit– or both.
• Reduce SG&A expense ratio
• Increase market share
• Stimulate market/category sales
• Improve efficiency in utilizing fixed assets and working capital, (translates into need to use less capital to generate a given margin or amount of sales revenue.
© 2003 David Besanko and Kellogg Consulting Club62
““Generic” Strategies for Unlocking Additional Generic” Strategies for Unlocking Additional ProfitabilityProfitability
• Increase gross margin– reduce COGS per unit– increase average revenue per unit– or both.
• Reduce SG&A expense ratio
• Increase market share
• Stimulate market/category sales
• Improve efficiency in utilizing fixed assets and working capital, (translates into need to use less capital to generate a given margin or amount of sales revenue.
Not a panacea, butoften times thisis a place in whichhigh-impact changescan be made at low cost: • improved pricing• price customization• dropping unprofitable products from product line
© 2003 David Besanko and Kellogg Consulting Club63
Depicting DataDepicting Data
• Suppose we want to characterize the opportunities for improving the profitability of the individual products in client’s portfolio
• If we have a graph with gross margin on the y-axis, what might we want to put on the x-axis?
High
Gross Margin
Low
© 2003 David Besanko and Kellogg Consulting Club64
Low High
Depicting DataDepicting DataHigh
Gross Margin
Low 0HighLow
Price Elasticity of Demand
© 2003 David Besanko and Kellogg Consulting Club65
• What observations would you have if you found that the clients products are graphed as below?
• Which quadrants are areas of improvement for pricing?
• What should the graph look like?
Depicting DataDepicting DataHigh
Gross Margin
Low 0HighLow
Price Elasticity of Demand
• Inverse elasticity pricing rule suggests that ther should be inverse relationship between gross margin and price elasticity of demand?
• Additional profitability can be unlocked by rationalizing the client’s pricing
© 2003 David Besanko and Kellogg Consulting Club66