Course: Microeconomics Text: Varian’s Intermediate Microeconomics.
Microeconomics Primer
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Transcript of Microeconomics Primer
Professor David Besanko
Kellogg School of Management
Northwestern University
November 17, 2009
© David Besanko, 2009 Please do not reproduce with permission of Professor Besanko
OBJECTIVES:
• Provide introduction to some basic microeconomic concepts that will be
useful for consulting interviews
• Illustrate how these 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:
• Price elasticity of demand
• Relevant costs and decision making
• Industry cost curves
2© David Besanko, 2009 Please do not reproduce with permission of Professor Besanko
• Price Elasticity of Demand
• Relevant Costs and Decision Making
• Industry Cost Curves
© David Besanko, 2009 Please do not reproduce with permission of Professor Besanko
4
Price Elasticity of Demand: percentage change in quantity demanded per one percent change in price
Price
Quantity
Inelastic demand
Elastic demand
D2
D1
© David Besanko, 2009 Please do not reproduce with permission of Professor Besanko
5
Price
Quantity
Inelastic demand
Elastic demand
$1.20
$1.00
1092
D2
D1
Along D1: %ΔQ = - 80% and %ΔP = +20%,
so price elasticity = - 80%/20% = - 4.0
Along D2: %ΔQ = - 10% and %ΔP = +20%,
so price elasticity = - 10%/20% = - 0.5
Price Elasticity of Demand: percentage change in quantity demanded per one percent change in price
© David Besanko, 2009 Please do not reproduce with permission of Professor Besanko
In general, - < eQ,P < 0
If …
eQ,P is between –1 and - , we say demand is elastic.
eQ,P is between 0 and –1, we demand is inelastic.
8
8
6© David Besanko, 2009 Please do not reproduce with permission of Professor Besanko
• 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?
▪ e.g., due to increases in the prices of raw materials such as aluminum, the prices of new
automobiles rises by 5%. What is the percentage change in the quantity of new automobiles
demanded?
• 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?
▪ e.g., BMW announces that the price of its line of 325 vehicles will go up. The prices of other
makes of cars (including BMWs) remains the same. What is the percentage change in the
quantity of BMW 325s demanded?
7© David Besanko, 2009 Please do not reproduce with permission of Professor Besanko
• Price elasticity of market demand
for automobiles is on the order of
- 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.
• 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.
8© David Besanko, 2009 Please do not reproduce with permission of Professor Besanko
9
Demand is very
sensitive to pricee.g., high-end discretionary
consumer durables such as
boats or motorcycles
Demand is very
insensitive to pricee.g., electricity for
residential users
Substitution Opportunities
Do consumers have readily available substitutes
to which they can switch?
YES NOExpense
Relative to
Budget
Do expenditures
on the good
account for a
large fraction
of the buyer’s
budget?
YES
NO
TENDS TO MAKE DEMAND MORE PRICE SENSITIVE
TE
ND
S T
O M
AK
E D
EM
AN
D
MO
RE
PR
ICE
SE
NS
ITIV
E
Demand is moderately
sensitive to pricee.g., automobiles or
consumer appliances
Demand is moderately
sensitive to pricee.g., consumer packaged
goods that have close substitutes
such as butter or paper towels
© David Besanko, 2009 Please do not reproduce with permission of Professor Besanko
• In 2002, 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?
10© David Besanko, 2009 Please do not reproduce with permission of Professor Besanko
• Price Elasticity of Demand
• Relevant Costs and Decision Making
• Industry Cost Curves
© David Besanko, 2009 Please do not reproduce with permission of Professor Besanko
• 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
12© David Besanko, 2009 Please do not reproduce with permission of Professor Besanko
13
Keep factory open and
produce at current
volume
Shut the factory down over the
next year
Revenue
(000)
Labor and
Materials
Costs (000)
$100 $50
$0 $0
Your
choice
Leasing
expense
(000)
$70
$70
Total
cost
(000)
$120
$70
This “bucket” of
costs goes away
if we shut down:
it is non-sunk
This “bucket” of
costs does not
go away if we shut down:
it is sunk
Cash
flow
(000)
-$20
-$70
• At current output level,
– total revenue = $100,000/month
– total cost = $120,000/month
• Costs consists of labor, materials, and leasing expenses
© David Besanko, 2009 Please do not reproduce with permission of Professor Besanko
Product Line Profitability Analysis for
Client’s Product Lines, FY 2009
Pressure
reducing
valves
Vacuum
-regulating
valves
Per unit revenue $10.00 $9.00 $6.00
Direct materials
costs (per unit) $3.00 $3.50 $4.00
10,000 5,000 3,000
Manufacturing
overhead and
selling expenses
(per unit) * $0.20 $0.40 $1.00
Corporate overhead
charge (per unit)** $5.00 $5.00 $5.00
Total cost (per unit) $8.20 $8.90 $10.00
Profit (per unit) $1.80 $0.10 ($4.00)
.
Digital
control
valves
14
* Directly traceable to each product line
** $90,000,000 of corporate level overhead is allocated to the business unit.
Per unit charge is $90,000,000 total number of units sold by business unit
Annual unit sales
(thousands)
• Client: business unit of a large
diversified company. Produces
different types of valves used in
industrial process control
systems
• Business unit is profitable:
– Total revenue: $163,000,000
– Total cost: $156,500,000
– Total profit: $6,500,000
• Question: should it drop one of
its product lines?
• Average profit per unit of
vacuum regulating valves was
negative last year. Seems like a
“no-brainer,” right?
© David Besanko, 2009 Please do not reproduce with permission of Professor Besanko
Product Line Profitability Analysis for
Client’s Product Lines, FY 2009
Pressure
reducing
valves
Vacuum
-regulating
valves
Per unit revenue $10.00 $9.00 $6.00
Direct materials
costs (per unit) $3.00 $3.50 $4.00
Annual unit sales
(thousands) 10,000 5,000 3,000
Manufacturing
overhead and
selling expenses
(per unit) * $0.20 $0.40 $1.00
Corporate overhead
charge (per unit)** $5.00 $5.00 $5.00
Total cost (per unit) $8.20 $8.90 $10.00
Profit (per unit) $1.80 $0.10 ($4.00)
.
Digital
control
valves
15
$6.00 $6.00
$0.80 $(0.90)
$9.20 $9.90
• Client: business unit of a large
diversified company. Produces
different types of valves used in
industrial process control
systems
• Business unit is profitable:
– Total revenue: $163,000,000
– Total cost: $156,500,000
– Total profit: $6,500,000
• Question: should it drop one of
its product lines?
• Average profit per unit of
vacuum regulating valves was
negative last year. Seems like a
“no-brainer,” right?
* Directly traceable to each product line
** $90,000,000 of corporate level overhead is allocated to the business unit.
Per unit charge is $90,000,000 total number of units sold by business unit
© David Besanko, 2009 Please do not reproduce with permission of Professor Besanko
Product Line Profitability Analysis for
Client’s Product Lines, FY 2009
Pressure
reducing
valves
Vacuum
-regulating
valves
Per unit revenue $10.00 $9.00 $6.00
Direct materials
costs (per unit) $3.00 $3.50 $4.00
Annual unit sales
(thousands) 10,000 5,000 3,000
Manufacturing
overhead and
selling expenses
(per unit) * $0.20 $0.40 $1.00
Corporate overhead
charge (per unit)** $5.00 $5.00 $5.00
Total cost (per unit) $8.20 $8.90 $10.00
Profit (per unit) $1.80 $0.10 ($4.00)
.
Digital
control
valves
16
$9.00
($2.20)
$12.20
• Client: business unit of a large
diversified company. Produces
different types of valves used in
industrial process control
systems
• Business unit is profitable:
– Total revenue: $163,000,000
– Total cost: $156,500,000
– Total profit: $6,500,000
• Question: should it drop one of
its product lines?
• Average profit per unit of
vacuum regulating valves was
negative last year. Seems like a
“no-brainer,” right?
* Directly traceable to each product line
** $90,000,000 of corporate level overhead is allocated to the business unit.
Per unit charge is $90,000,000 total number of units sold by business unit
© David Besanko, 2009 Please do not reproduce with permission of Professor Besanko
Total
Revenue
Total
Direct
Costs
Total
Mfg. OH
& Selling
Cost
Total
Corp.
OHTotal
ProfitValve type
Digital
Pressure-red.
Vacuum reg.
TOTAL
(thousands)
$100,000
$ 45,000
$ 18,000
$163,000
$30,000
$17,500
$12,000
$59,500
$ 2,000
$ 2,000
$ 3,000
$ 7,000 $90,000 $ 6,500
Total
Revenue
Total
Direct
Costs
Total
Corp.
OH
Total
ProfitValve type
Digital
Pressure-red.
Vacuum reg.
TOTAL
(thousands)
$100,000
$ 45,000
$145,000
$30,000
$17,500
$47,500
$ 2,000
$ 2,000
$ 4,000 $90,000 $3,500
Keep
vacuum
reg.
valves
Drop
vacuum
reg.
valves
unavoidable!
17
Total
Mfg. OH
& Selling
Cost
© David Besanko, 2009 Please do not reproduce with permission of Professor Besanko
• Total cost (TC): sum total of all of the firm’s operating costs
• Marginal cost (MC): the rate at which total cost changes as the volume of
production changes i.e., MC = DTC/DQ
– cost per unit of the last unit produced
• Average total cost (ATC): total cost per unit, i.e., ATC = TC/Q
– Operating cost per unit, averaged over all units produced
• Example: It “costs” me 100 minutes to make 20 slides in a PowerPoint
deck. It will cost me 115 minutes to make 21 slides
– TC of 20 slides = 100 minutes, TC of 21 slides = 115 minutes
– ATC of 20 slides = 100/20 = 5 minutes per slide; ATC of 21 slides = 115/21 =
5.48 minutes per slide
– MC of the 21st slide = 15
18© David Besanko, 2009 Please do not reproduce with permission of Professor Besanko
• Full-reinvestment total cost (FRTC): sum total of all of the firm’s operating
costs plus …
• … the cash flow needed to achieve a cost-of-capital return on long-run
sunk investments needed to enter the business and grow it. This is called
the capital charge
• Thus: FRTC = TC + capital charge
• Full-reinvestment average total cost (FRATC): total cost per unit, i.e.,
FRATC = FRTC/Q
– Full-reinvestment cost per unit, averaged over all units produced
19© David Besanko, 2009 Please do not reproduce with permission of Professor Besanko
20
Textbook concept Consultant lingo Usually relevant for …
MC, marginal cost Marginal cost or
incremental cost
• Incremental changes in
production volume
• Pricing decisions
ATC, average total cost Cash cost • Capacity idling or
withdrawal decisions
• Dropping product lines
FRATC, full-reinvestment
average total costs
Full reinvestment cost • Capacity expansion
decisions
• New market entry
decisions
• R&D investment
decisions
© David Besanko, 2009 Please do not reproduce with permission of Professor Besanko
• Price Elasticity of Demand
• Relevant Costs and Decision Making
• Industry Cost Curves
© David Besanko, 2009 Please do not reproduce with permission of Professor Besanko
Capacity
(kt)
Cash Cost
(cents
per lb) Company Country
Cawse 4.4 58.5 Centaur Mining Australia
Murrin Murrin 27.0 81.4 Anaconda Nickel Australia
Soroako 50.0 100.3 Inco Indonesia
Leinster 35.9 131.3 WMC Australia
Mt Keith 42.0 138.7 WMC Australia
Raglan 21.0 139.5 Falconbridge Canada
Ontario Division 103.0 142.3 Inco Canada
Kambalda 12.0 154.1 WMC Australia
Sudbury 40.0 165.9 Falconbridge Canada
Cerro Matoso 28.8 171.9 Billiton Colombia
Manitoba Division 46.0 205.0 WMC Canada
Falcondo 32.0 205.0 Falconbridge Dominican Republic
Forrestania 7.7 218.2 Outokumpu Australia
Based on data from: Minecost.com, World Mine Cost Data Exchange
Data altered for illustrative purposes.
Cash Costs By Nickel Mine in Global Nickel Industry, 2004
Mine
22© David Besanko, 2009 Please do not reproduce with permission of Professor Besanko
Cumulative Capacity (kilotons per year)
Ca
sh
co
st
(ce
nts
pe
r p
ou
nd
)
0
50
100
150
200
250
300
0 50 100 150 200 250 300 350 400 450 500
Fa
lco
nb
rid
ge
Ou
toK
um
po
Fa
lco
nb
rid
ge
WM
C
Billito
n
Fa
lco
nb
rid
ge
WM
C
WM
C
INC
0
An
aco
nd
a N
ick
el
INC
O
• Represent each plant by a bar whose width is plant capacity and height is cash cost.
• Rank each plant in “merit order” --- lowest cash cost to highest cash cost.
Centaur Mining
WM
C
Full-reinvestment
cost of
hypothetical
new capacity
23© David Besanko, 2009 Please do not reproduce with permission of Professor Besanko
Cumulative Capacity (kilotons per year)
Ca
sh
co
st
(ce
nts
pe
r p
ou
nd
)
0
50
100
150
200
250
300
0 50 100 150 200 250 300 350 400 450 500
Fa
lco
nb
rid
ge
Fa
lco
nb
rid
ge
Billito
n
Fa
lco
nb
rid
ge
WM
C
WM
C
INC
O
• This tells us how much would be supplied in the long run at various possible market
price scenarios!
• If average price is expected to be 125 over the foreseeable future,
the three shaded plants would stay open
• Other plants are better off being idled or shut down
• Total supply at price of 125 is 81.
WM
C
125
81
Ou
toK
um
po
WM
C
24
INC
0
An
aco
nd
a N
ick
el
Centaur Mining
© David Besanko, 2009 Please do not reproduce with permission of Professor Besanko
• It depends on the question!
• If the question is: “How do changes in prices on a week-to-week or month-
to-month basis affect market supply?” Use marginal cost
– Short run industry cost curves
• If the question is: “How do changes in prices over a longer period of time
(say 1 year out and beyond) affect market supply?” Use cash cost for
existing plants and full reinvestment cost for potential plants that haven’t
been built
– Long-run industry cost curves
25© David Besanko, 2009 Please do not reproduce with permission of Professor Besanko
Cumulative Capacity (kilotons per year)
0
50
100
150
200
250
300
0 50 100 150 200 250 300 350 400 450 500
Fa
lco
nb
rid
ge
Fa
lco
nb
rid
ge
Billito
n
Fa
lco
nb
rid
ge
WM
C
WM
C
WM
C
An
aco
nd
a N
ick
el
INC
O
Centaur MiningD1
Ca
sh
co
st
(ce
nts
pe
r p
ou
nd
)
INC
0
D2
Ou
toK
um
po
WM
C
26© David Besanko, 2009 Please do not reproduce with permission of Professor Besanko
Cumulative Capacity (kilotons per year)
0
50
100
150
200
250
300
0 50 100 150 200 250 300 350 400 450 500
Fa
lco
nb
rid
ge
Fa
lco
nb
rid
ge
Billito
n
Fa
lco
nb
rid
ge
WM
C
WM
C
WM
C
An
aco
nd
a N
ick
el
INC
O
Centaur MiningD1
Ca
sh
co
st
(ce
nts
pe
r p
ou
nd
)
INC
0
D2
Ou
toK
um
po
WM
C
27
At this price,
quantity supplied = quantity
demanded (“market clearing
price”)
© David Besanko, 2009 Please do not reproduce with permission of Professor Besanko
Cumulative Capacity (kilotons per year)
0
50
100
150
200
250
300
0 50 100 150 200 250 300 350 400 450 500
Fa
lco
nb
rid
ge
Fa
lco
nb
rid
ge
Billito
n
Fa
lco
nb
rid
ge
WM
C
WM
C
WM
C
An
aco
nd
a N
ick
el
INC
O
(Ca
na
da
)
Centaur MiningD1
Ca
sh
co
st
(ce
nts
pe
r p
ou
nd
)
INC
0
(In
do
ne
sia
) Ou
toK
um
po
WM
C
28
• Suppose price of electricity in Indonesia goes up, increasing the cash cost of
INCO’s Indonesian mine to 120, but not affecting the cash costs of other mines.
• What happens to the market-clearing price?
© David Besanko, 2009 Please do not reproduce with permission of Professor Besanko
Cumulative Capacity (kilotons per year)
0
50
100
150
200
250
300
0 50 100 150 200 250 300 350 400 450 500
Fa
lco
nb
rid
ge
Fa
lco
nb
rid
ge
Billito
n
Fa
lco
nb
rid
ge
WM
C
WM
C
WM
C
An
aco
nd
a N
ick
el
INC
O
Centaur MiningD1
Ca
sh
co
st
(ce
nts
pe
r p
ou
nd
)
INC
0
Ou
toK
um
po
WM
C
29
• Market-clearing price is not affected!
• Market-clearing price equals the cash cost of the highest-cost
producer needed to satisfy demand
© David Besanko, 2009 Please do not reproduce with permission of Professor Besanko
Cumulative Capacity (kilotons per year)
0
50
100
150
200
250
300
0 50 100 150 200 250 300 350 400 450 500
Fa
lco
nb
rid
ge
Fa
lco
nb
rid
ge
Billito
n
Fa
lco
nb
rid
ge
WM
C
WM
C
WM
C
An
aco
nd
a N
ick
el
INC
O
Centaur MiningD1
Ca
sh
co
st
(ce
nts
pe
r p
ou
nd
)
INC
0
Ou
toK
um
po
WM
C
30
• INCO is the client.
• If demand curve is expected to be D1 for the foreseeable future,
what strategies would you recommend for INCO to increase its profitability
in the nickel business?
© David Besanko, 2009 Please do not reproduce with permission of Professor Besanko
Cumulative Capacity (kilotons per year)
0
50
100
150
200
250
300
0 50 100 150 200 250 300 350 400 450 500
Fa
lco
nb
rid
ge
Fa
lco
nb
rid
ge
Billito
n
Fa
lco
nb
rid
ge
WM
C
WM
C
WM
C
An
aco
nd
a N
ick
el
INC
O
Centaur MiningD1
Ca
sh
co
st
(ce
nts
pe
r p
ou
nd
)
INC
0
Ou
toK
um
po
WM
C
31
• One possibility: capacity withdrawal
© David Besanko, 2009 Please do not reproduce with permission of Professor Besanko
Cumulative Capacity (kilotons per year)
0
50
100
150
200
250
300
0 50 100 150 200 250 300 350 400 450 500
Fa
lco
nb
rid
ge
Fa
lco
nb
rid
ge
Billito
n
Fa
lco
nb
rid
ge
WM
C
WM
C
WM
C
An
aco
nd
a N
ick
el
INC
O
Centaur MiningD1
Ca
sh
co
st
(ce
nts
pe
r p
ou
nd
)
INC
0
Ou
toK
um
po
WM
C
32
• One possibility: capacity withdrawal
© David Besanko, 2009 Please do not reproduce with permission of Professor Besanko
Cumulative Capacity (kilotons per year)
0
50
100
150
200
250
300
0 50 100 150 200 250 300 350 400 450 500
Fa
lco
nb
rid
ge
Fa
lco
nb
rid
ge
Billito
n
Fa
lco
nb
rid
ge
WM
C
WM
C
WM
C
An
aco
nd
a N
ick
el
Centaur MiningD1
Ca
sh
co
st
(ce
nts
pe
r p
ou
nd
)
INC
0
Ou
toK
um
po
WM
C
33
• One possibility: capacity withdrawal
• … which shifts the cost curve …
© David Besanko, 2009 Please do not reproduce with permission of Professor Besanko
Cumulative Capacity (kilotons per year)
Ca
sh
co
st
(ce
nts
pe
r p
ou
nd
)
0
50
100
200
250
300
0 50 100 150 200 250 300 350 400 450 500
Fa
lco
nb
rid
ge
Fa
lco
nb
rid
ge
Billito
n
Fa
lco
nb
rid
ge
WM
C
WM
C
INC
0
An
aco
nd
a N
ick
el
Centaur Mining
• … and increases the market-clearing price
• Is this good for Inco?
WM
C
D1
Ou
toK
um
po
WM
C
Inco gives up
… but gains
34© David Besanko, 2009 Please do not reproduce with permission of Professor Besanko
© David Besanko, 2009 Please do not reproduce with permission of Professor Besanko