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Chapter 7
The Cost of
Production
Topics to be Discussed
 Measuring Cost: Which Costs Matter?
 Cost in the Short Run
 Cost in the Long Run
 Long-Run Versus Short-Run Cost
Curves
Topics to be Discussed
 Production with Two Outputs--
Economies of Scope
 Dynamic Changes in Costs--The
Learning Curve
 Estimating and Predicting Cost
Introduction
 The production technology measures
the relationship between input and
output.
 Given the production technology,
managers must choose how to
produce.
Introduction
 To determine the optimal level of
output and the input combinations, we
must convert from the unit
measurements of the production
technology to dollar measurements or
costs.
Measuring Cost:
Which Costs Matter?
 Accounting Cost
Actual expenses plus depreciation
charges for capital equipment
 Economic Cost
Cost to a firm of utilizing economic
resources in production, including
opportunity cost
Economic Cost vs. Accounting CostEconomic Cost vs. Accounting Cost
 Opportunity cost.
Cost associated with opportunities that
are foregone when a firm’s resources
are not put to their highest-value use.
Measuring Cost:
Which Costs Matter?
 An Example
A firm owns its own building and pays no
rent for office space
Does this mean the cost of office space
is zero?
Measuring Cost:
Which Costs Matter?
 Sunk Cost
Expenditure that has been made and
cannot be recovered
Should not influence a firm’s decisions.
Measuring Cost:
Which Costs Matter?
 An Example
 A firm pays $500,000 for an option to buy a
building.
 The cost of the building is $5 million or a total of
$5.5 million.
 The firm finds another building for $5.25 million.
 Which building should the firm buy?
Measuring Cost:
Which Costs Matter?
Choosing the Location
for a New Law School Building
 Northwestern University Law School
1) Current location in downtown
Chicago
2) Alternative location in Evanston
with the main campus
 Northwestern University Law School
3) Choosing a Site
 Land owned in Chicago
 Must purchase land in Evanston
 Chicago location might appear
cheaper without considering the
opportunity cost of the downtown land
(i.e. what it could be sold for)
Choosing the Location
for a New Law School Building
 Northwestern University Law School
3) Choosing a Site
 Chicago location chosen--very costly
 Justified only if there is some intrinsic
values associated with being in
Chicago
 If not, it was an inefficient decision if it
was based on the assumption that the
downtown land was “free”
Choosing the Location
for a New Law School Building
 Total output is a function of variable
inputs and fixed inputs.
 Therefore, the total cost of production
equals the fixed cost (the cost of the
fixed inputs) plus the variable cost
(the cost of the variable inputs), or…
VCFCTC +=
Measuring Cost:
Which Costs Matter?
Fixed and Variable CostsFixed and Variable Costs
 Fixed Cost
Does not vary with the level of output
 Variable Cost
Cost that varies as output varies
Measuring Cost:
Which Costs Matter?
Fixed and Variable CostsFixed and Variable Costs
 Fixed Cost
Cost paid by a firm that is in business
regardless of the level of output
 Sunk Cost
Cost that have been incurred and cannot
be recovered
Measuring Cost:
Which Costs Matter?
 Personal Computers: most costs
are variable
Components, labor
 Software: most costs are sunk
Cost of developing the software
Measuring Cost:
Which Costs Matter?
 Pizza
Largest cost component is fixed
Measuring Cost:
Which Costs Matter?
A Firm’s Short-Run Costs ($)
0 50 0 50 --- --- --- ---
1 50 50 100 50 50 50 100
2 50 78 128 28 25 39 64
3 50 98 148 20 16.7 32.7 49.3
4 50 112 162 14 12.5 28 40.5
5 50 130 180 18 10 26 36
6 50 150 200 20 8.3 25 33.3
7 50 175 225 25 7.1 25 32.1
8 50 204 254 29 6.3 25.5 31.8
9 50 242 292 38 5.6 26.9 32.4
10 50 300 350 58 5 30 35
11 50 385 435 85 4.5 35 39.5
Rate of Fixed Variable Total Marginal Average Average Average
Output Cost Cost Cost Cost Fixed Variable Total
(FC) (VC) (TC) (MC) Cost Cost Cost
(AFC) (AVC) (ATC)
Cost in the Short Run
 Marginal Cost (MC) is the cost of
expanding output by one unit. Since
fixed cost have no impact on marginal
cost, it can be written as:
Q
TC
Q
VC
MC
∆
∆
=
∆
∆
=
Cost in the Short Run
 Average Total Cost (ATC) is the cost
per unit of output, or average fixed
cost (AFC) plus average variable cost
(AVC). This can be written:
Q
TVC
Q
TFC
ATC +=
Cost in the Short Run
 Average Total Cost (ATC) is the cost
per unit of output, or average fixed
cost (AFC) plus average variable cost
(AVC). This can be written:
Q
TC
orAVCAFCATC +=
Cost in the Short Run
 The Determinants of Short-Run Cost
The relationship between the production
function and cost can be exemplified by
either increasing returns and cost or
decreasing returns and cost.
Cost in the Short Run
 The Determinants of Short-Run Cost
 Increasing returns and cost
 With increasing returns, output is increasing
relative to input and variable cost and total
cost will fall relative to output.
 Decreasing returns and cost
 With decreasing returns, output is
decreasing relative to input and variable cost
and total cost will rise relative to output.
Cost in the Short Run
 For Example: Assume the wage rate
(w) is fixed relative to the number of
workers hired. Then:
Q
VC
MC
∆
∆
=
LVC w=
Cost in the Short Run
 Continuing:
LVC ∆=∆ w
Q
L
MC
∆
∆
=
w
Cost in the Short Run
 Continuing:
L
MPL
∆
∆
=∆
Q
LMP
1
Q
L
Qunit1aforL
∆
=
∆
∆
=∆∆
Cost in the Short Run
 In conclusion:
 …and a low marginal product (MP)
leads to a high marginal cost (MC)
and vise versa.
LMP
MC
w
=
Cost in the Short Run
 Consequently (from the table):
MC decreases initially with increasing
returns
 0 through 4 units of output
MC increases with decreasing returns
 5 through 11 units of output
A Firm’s Short-Run Costs ($)
0 50 0 50 --- --- --- ---
1 50 50 100 50 50 50 100
2 50 78 128 28 25 39 64
3 50 98 148 20 16.7 32.7 49.3
4 50 112 162 14 12.5 28 40.5
5 50 130 180 18 10 26 36
6 50 150 200 20 8.3 25 33.3
7 50 175 225 25 7.1 25 32.1
8 50 204 254 29 6.3 25.5 31.8
9 50 242 292 38 5.6 26.9 32.4
10 50 300 350 58 5 30 35
11 50 385 435 85 4.5 35 39.5
Rate of Fixed Variable Total Marginal Average Average Average
Output Cost Cost Cost Cost Fixed Variable Total
(FC) (VC) (TC) (MC) Cost Cost Cost
(AFC) (AVC) (ATC)
Cost Curves for a Firm
Output
Cost
($ per
year)
100
200
300
400
0 1 2 3 4 5 6 7 8 9 10 11 12 13
VC
Variable cost
increases with
production and
the rate varies with
increasing &
decreasing returns.
TC
Total cost
is the vertical
sum of FC
and VC.
FC50
Fixed cost does not
vary with output
Cost Curves for a Firm
Output (units/yr.)
Cost
($ per
unit)
25
50
75
100
0 1 2 3 4 5 6 7 8 9 10 11
MC
ATC
AVC
AFC
Cost Curves for a Firm
 The line drawn from
the origin to the
tangent of the
variable cost curve:
 Its slope equals AVC
 The slope of a point
on VC equals MC
 Therefore, MC = AVC
at 7 units of output
(point A)
Output
P
100
200
300
400
0 1 2 3 4 5 6 7 8 9 10 11 12 13
FC
VC
A
TC
Cost Curves for a Firm
 Unit Costs
 AFC falls
continuously
 When MC < AVC or
MC < ATC, AVC &
ATC decrease
 When MC > AVC or
MC > ATC, AVC &
ATC increase Output (units/yr.)
Cost
($ per
unit)
25
50
75
100
0 1 2 3 4 5 6 7 8 9 10 11
MC
ATC
AVC
AFC
Cost Curves for a Firm
 Unit Costs
 MC = AVC and ATC
at minimum AVC
and ATC
 Minimum AVC
occurs at a lower
output than minimum
ATC due to FC
Output (units/yr.)
Cost
($ per
unit)
25
50
75
100
0 1 2 3 4 5 6 7 8 9 10 11
MC
ATC
AVC
AFC
Operating Costs for Aluminum Smelting
($/Ton - based on an output of 600 tons/day)
Variable costs that are constant at all output levels
Electricity $316
Alumina 369
Other raw materials 125
Plant power and fuel 10
Subtotal $820
Operating Costs for Aluminum Smelting
($/Ton - based on an output of 600 tons/day)
Variable costs that increase when output exceeds 600 tons/day
Labor $150
Maintenance 120
Freight 50
Subtotal $320
Total operating costs $1140
The Short-Run Variable
Costs of Aluminum Smelting
Output (tons/day)
Cost
($ per ton)
1100
1200
1300
300 600 900
1140
MC
AVC
Cost in the Long Run
 User Cost of Capital = Economic
Depreciation + (Interest Rate)(Value
of Capital)
The User Cost of CapitalThe User Cost of Capital
Cost in the Long Run
 Example
Delta buys a Boeing 737 for $150 million
with an expected life of 30 years
 Annual economic depreciation =
$150 million/30 = $5 million
 Interest rate = 10%
The User Cost of CapitalThe User Cost of Capital
Cost in the Long Run
 Example
User Cost of Capital = $5 million + (.10)
($150 million – depreciation)
 Year 1 = $5 million + (.10)
($150 million) = $20 million
 Year 10 = $5 million + (.10)
($100 million) = $15 million
The User Cost of CapitalThe User Cost of Capital
Cost in the Long Run
 Rate per dollar of capital
r = Depreciation Rate + Interest Rate
The User Cost of CapitalThe User Cost of Capital
Cost in the Long Run
 Airline Example
Depreciation Rate = 1/30 = 3.33/yr
Rate of Return = 10%/yr
 User Cost of Capital
r = 3.33 + 10 = 13.33%/yr
The User Cost of CapitalThe User Cost of Capital
Cost in the Long Run
 Assumptions
Two Inputs: Labor (L) & capital (K)
Price of labor: wage rate (w)
The price of capital
 R = depreciation rate + interest rate
The Cost Minimizing Input ChoiceThe Cost Minimizing Input Choice
Cost in the Long Run
 Question
If capital was rented, would it change the
value of r ?
The User Cost of CapitalThe User Cost of CapitalThe Cost Minimizing Input ChoiceThe Cost Minimizing Input Choice
Cost in the Long Run
 The Isocost Line
C = wL + rK
Isocost: A line showing all combinations
of L & K that can be purchased for the
same cost
The User Cost of CapitalThe User Cost of CapitalThe Cost Minimizing Input ChoiceThe Cost Minimizing Input Choice
Cost in the Long Run
 Rewriting C as linear:
K = C/r - (w/r)L
 Slope of the isocost:

is the ratio of the wage rate to rental cost of
capital.
 This shows the rate at which capital can be
substituted for labor with no change in cost.
( )r
w
L
K −=
∆
∆
The Isocost LineThe Isocost Line
Choosing Inputs
 We will address how to minimize cost
for a given level of output.
We will do so by combining isocosts with
isoquants
Producing a Given
Output at Minimum Cost
Labor per year
Capital
per
year
Isocost C2 shows quantity
Q1 can be produced with
combination K2L2 or K3L3.
However, both of these
are higher cost combinations
than K1L1.
Q1
Q1 is an isoquant
for output Q1.
Isocost curve C0 shows
all combinations of K and L
that can produce Q1 at this
cost level.
C0 C1 C2
CO C1 C2 are
three
isocost lines
A
K1
L1
K3
L3
K2
L2
Input Substitution When
an Input Price Change
C2
This yields a new combination
of K and L to produce Q1.
Combination B is used in place
of combination A.
The new combination represents
the higher cost of labor relative
to capital and therefore capital
is substituted for labor.
K2
L2
B
C1
K1
L1
A
Q1
If the price of labor
changes, the isocost curve
becomes steeper due to
the change in the slope -(w/L).
Labor per year
Capital
per
year
Cost in the Long Run
 Isoquants and Isocosts and the
Production Function
K
L
MP
MP-MRTS =
∆
∆=
L
K
r
w
L
K −=
∆
∆=lineisocostofSlope
r
w
MP
MP
K
L ==and
Cost in the Long Run
 The minimum cost combination can
then be written as:
Minimum cost for a given output will
occur when each dollar of input added to
the production process will add an
equivalent amount of output.
rw
KL MPMP =
Cost in the Long Run
 Question
If w = $10, r = $2, and MPL = MPK,
which input would the producer use
more of? Why?
The Effect of Effluent
Fees on Firms’ Input Choices
 Firms that have a by-product to
production produce an effluent.
 An effluent fee is a per-unit fee that
firms must pay for the effluent that
they emit.
 How would a producer respond to an
effluent fee on production?
 The Scenario: Steel Producer
1) Located on a river: Low cost
transportation and emission
disposal (effluent).
2) EPA imposes a per unit effluent
fee to reduce the environmentally
harmful effluent.
The Effect of Effluent
Fees on Firms’ Input Choices
 The Scenario: Steel Producer
3) How should the firm respond?
The Effect of Effluent
Fees on Firms’ Input Choices
The Cost-Minimizing
Response to an Effluent Fee
Waste Water
(gal./month)
Capital
(machine
hours per
month)
Output of 2,000
Tons of Steel per Month
A
10,000 18,000 20,0000 12,000
Slope of
isocost = -10/40
= -0.25
2,000
1,000
4,000
3,000
5,000
5,000
The Cost-Minimizing
Response to an Effluent Fee
Output of 2,000
Tons of Steel per Month
2,000
1,000
4,000
3,000
5,000
10,000 18,000 20,0000 12,000
Capital
(machine
hours per
month)
E
5,000
3,500
Slope of
isocost = -20/40
= -0.50
B Following the imposition
of the effluent fee of $10/gallon
the slope of the isocost changes
which the higher cost of water to
capital so now combination B
is selected.A
Prior to regulation the
firm chooses to produce
an output using 10,000
gallons of water and 2,000
machine-hours of capital at A.
C
F
Waste Water
(gal./month)
 Observations:
The more easily factors can be
substituted, the more effective the fee is
in reducing the effluent.
The greater the degree of substitutes,
the less the firm will have to pay (for
example: $50,000 with combination B
instead of $100,000 with combination A)
The Effect of Effluent
Fees on Firms’ Input Choices
 Cost minimization with Varying
Output Levels
A firm’s expansion path shows the
minimum cost combinations of labor and
capital at each level of output.
Cost in the Long Run
A Firm’s Expansion Path
Labor per year
Capital
per
year
Expansion Path
The expansion path illustrates
the least-cost combinations of
labor and capital that can be
used to produce each level of
output in the long-run.
25
50
75
100
150
10050 150 300200
A
$2000
Isocost Line
200 Unit
Isoquant
B
$3000 Isocost Line
300 Unit Isoquant
C
A Firm’s Long-Run Total Cost Curve
Output, Units/yr
Cost
per
Year
Expansion Path
1000
100 300200
2000
3000
D
E
F
Long-Run Versus
Short-Run Cost Curves
 What happens to average costs when
both inputs are variable (long run)
versus only having one input that is
variable (short run)?
Long-Run
Expansion Path
The long-run expansion
path is drawn as before..
The Inflexibility of
Short-Run Production
Labor per year
Capital
per
year
L2
Q2
K2
D
C
F
E
Q1
A
BL1
K1
L3
P
Short-Run
Expansion Path
 Long-Run Average Cost (LAC)
Constant Returns to Scale
 If input is doubled, output will double
and average cost is constant at all
levels of output.
Long-Run Versus
Short-Run Cost Curves
 Long-Run Average Cost (LAC)
Increasing Returns to Scale
 If input is doubled, output will more
than double and average cost
decreases at all levels of output.
Long-Run Versus
Short-Run Cost Curves
 Long-Run Average Cost (LAC)
Decreasing Returns to Scale
 If input is doubled, the increase in
output is less than twice as large and
average cost increases with output.
Long-Run Versus
Short-Run Cost Curves
 Long-Run Average Cost (LAC)
In the long-run:
 Firms experience increasing and
decreasing returns to scale and
therefore long-run average cost is “U”
shaped.
Long-Run Versus
Short-Run Cost Curves
 Long-Run Average Cost (LAC)
Long-run marginal cost leads long-run
average cost:
 If LMC < LAC, LAC will fall
 If LMC > LAC, LAC will rise
 Therefore, LMC = LAC at the
minimum of LAC
Long-Run Versus
Short-Run Cost Curves
Long-Run Average
and Marginal Cost
Output
Cost
($ per unit
of output
LAC
LMC
A
 Question
What is the relationship between long-
run average cost and long-run marginal
cost when long-run average cost is
constant?
Long-Run Versus
Short-Run Cost Curves
 Economies and Diseconomies of
Scale
Economies of Scale
 Increase in output is greater than the
increase in inputs.
Diseconomies of Scale
 Increase in output is less than the
increase in inputs.
Long-Run Versus
Short-Run Cost Curves
 Measuring Economies of Scale
outputin
increase1%afromcostin%Δ
elasticityoutputCostEc
=
−=
Long-Run Versus
Short-Run Cost Curves
 Measuring Economies of Scale
)//()/( QQCCEc ∆∆=
MC/AC)//()/( =∆∆= QCQCEc
Long-Run Versus
Short-Run Cost Curves
 Therefore, the following is true:
 EC < 1: MC < AC
 Average cost indicate decreasing economies
of scale
 EC = 1: MC = AC
 Average cost indicate constant economies of
scale
 EC > 1: MC > AC
 Average cost indicate increasing
diseconomies of scale
Long-Run Versus
Short-Run Cost Curves
 The Relationship Between Short-Run
and Long-Run Cost
We will use short and long-run cost to
determine the optimal plant size
Long-Run Versus
Short-Run Cost Curves
Long-Run Cost with
Constant Returns to Scale
Output
Cost
($ per unit
of output
Q3
SAC3
SMC3
Q2
SAC2
SMC2
LAC =
LMC
With many plant sizes with SAC = $10
the LAC = LMC and is a straight line
Q1
SAC1
SMC1
 Observation
 The optimal plant size will depend on the
anticipated output (e.g. Q1 choose SAC1,etc).
 The long-run average cost curve is the
envelope of the firm’s short-run average cost
curves.
 Question
 What would happen to average cost if an output
level other than that shown is chosen?
Long-Run Cost with
Constant Returns to Scale
Long-Run Cost with Economies
and Diseconomies of Scale
Output
Cost
($ per unit
of output
SMC1
SAC1
SAC2
SMC2
LMC
If the output is Q1 a manager
would chose the small plant
SAC1 and SAC $8.
Point B is on the LAC because
it is a least cost plant for a
given output.
$10
Q1
$8
B
A
LACSAC3
SMC3
 What is the firms’ long-run cost
curve?
Firms can change scale to change
output in the long-run.
The long-run cost curve is the dark blue
portion of the SAC curve which
represents the minimum cost for any
level of output.
Long-Run Cost with
Constant Returns to Scale
 Observations
The LAC does not include the minimum
points of small and large size plants?
Why not?
LMC is not the envelope of the short-run
marginal cost. Why not?
Long-Run Cost with
Constant Returns to Scale
Production with Two
Outputs--Economies of Scope
 Examples:
Chicken farm--poultry and eggs
Automobile company--cars and trucks
University--Teaching and research
 Economies of scope exist when the joint
output of a single firm is greater than the
output that could be achieved by two
different firms each producing a single
output.
 What are the advantages of joint
production?
 Consider an automobile company producing
cars and tractors
Production with Two
Outputs--Economies of Scope
 Advantages
1) Both use capital and labor.
2) The firms share management
resources.
3) Both use the same labor skills and
type of machinery.
Production with Two
Outputs--Economies of Scope
 Production:
Firms must choose how much of each to
produce.
The alternative quantities can be
illustrated using product transformation
curves.
Production with Two
Outputs--Economies of Scope
Product Transformation Curve
Number of cars
Number
of tractors
O2 O1 illustrates a low level
of output. O2 illustrates
a higher level of output with
two times as much labor
and capital.O1
Each curve shows
combinations of output
with a given combination
of L & K.
 Observations
Product transformation curves are
negatively sloped
Constant returns exist in this example
Since the production transformation
curve is concave is joint production
desirable?
Production with Two
Outputs--Economies of Scope
 Observations
There is no direct relationship between
economies of scope and economies of
scale.
 May experience economies of scope
and diseconomies of scale
 May have economies of scale and not
have economies of scope
Production with Two
Outputs--Economies of Scope
 The degree of economies of scope
measures the savings in cost and can be
written:
 C(Q1) is the cost of producing Q1
 C(Q2) is the cost of producing Q2
 C(Q1Q2) is the joint cost of producing both
products
)(
)()()C(
SC
2,1
2,121
QQC
QQCQCQ −+
=
Production with Two
Outputs--Economies of Scope
 Interpretation:
If SC > 0 -- Economies of scope
If SC < 0 -- Diseconomies of scope
Production with Two
Outputs--Economies of Scope
Economies of Scope
in the Trucking Industry
 Issues
Truckload versus less than truck load
Direct versus indirect routing
Length of haul
 Questions:
Economies of Scale
 Are large-scale, direct hauls cheaper
and more profitable than individual
hauls by small trucks?
 Are there cost advantages from
operating both direct and indirect
hauls?
Economies of Scope
in the Trucking Industry
 Empirical Findings
An analysis of 105 trucking firms
examined four distinct outputs.
 Short hauls with partial loads
 Intermediate hauls with partial loads
 Long hauls with partial loads
 Hauls with total loads
Economies of Scope
in the Trucking Industry
 Empirical Findings
 Results
 SC = 1.576 for reasonably large firm
 SC = 0.104 for very large firms
 Interpretation
 Combining partial loads at an intermediate
location lowers cost management difficulties
with very large firms.
Economies of Scope
in the Trucking Industry
Dynamic Changes in
Costs--The Learning Curve
 The learning curve measures the
impact of worker’s experience on the
costs of production.
 It describes the relationship between
a firm’s cumulative output and
amount of inputs needed to produce a
unit of output.
The Learning Curve
Cumulative number of
machine lots produced
Hours of labor
per machine lot
10 20 30 40 500
2
4
6
8
10
The Learning Curve
Hours of labor
per machine lot
10 20 30 40 500
2
4
6
8
10
 The horizontal axis
measures the
cumulative number of
hours of machine
tools the firm has
produced
 The vertical axis
measures the number
of hours of labor
needed to produce
each lot.
 The learning curve in the figure is based
on the relationship:
β−
= BNL
1and0betweenisandpositiveare
constantsareand
outputofunitperinputlabor
producedoutputofunitscumulative
β
β
B&A
BA,
L
N
=
=
Dynamic Changes in
Costs--The Learning Curve

L equals A + B and this measures labor
input to produce the first unit of output

Labor input remains constant as the
cumulative level of output increases, so
there is no learning
:0=βIf
:1=NIf
Dynamic Changes in
Costs--The Learning Curve

L approaches A, and A represent minimum
labor input/unit of output after all learning
has taken place.

The more important the learning effect.
:increasesand0 NIf >β
:largerThe β
Dynamic Changes in
Costs--The Learning Curve
The Learning Curve
Cumulative number of
machine lots produced
Hours of labor
per machine lot
10 20 30 40 500
2
4
6
8
10
31.0=β
The chart shows a sharp drop
in lots to a cumulative amount of
20, then small savings at
higher levels.
Doubling cumulative output causes
a 20% reduction in the difference
between the input required and
minimum attainable input requirement.
 Observations
1) New firms may experience a learning
curve, not economies of scale.
2) Older firms have relatively small
gains from learning.
Dynamic Changes in
Costs--The Learning Curve
Economies of
Scale Versus Learning
Output
Cost
($ per unit
of output)
AC1
B
Economies of Scale
A
AC2
Learning
C
Predicting the Labor
Requirements of Producing a Given Output
10 1.00 10.0
20 .80 18.0 (10.0 + 8.0)
30 .70 25.0 (18.0 + 7.0)
40 .64 31.4 (25.0 + 6.4)
50 .60 37.4 (31.4 + 6.0)
60 .56 43.0 (37.4 + 5.6)
70 .53 48.3 (43.0 + 5.3)
80 and over .51 53.4 (48.3 + 5.1)
Cumulative Output Per-Unit Labor Requirement Total Labor
(N) for each 10 units of Output (L) Requirement
 The learning curve implies:
1) The labor requirement falls per unit.
2) Costs will be high at first and then will
fall with learning.
3) After 8 years the labor requirement will be
0.51 and per unit cost will be half
what it was in the first year of production.
Dynamic Changes in
Costs--The Learning Curve
 Scenario
 A new firm enters the chemical processing
industry.
 Do they:
1) Produce a low level of output and sell at a
high price?
2) Produce a high level of output and sell at a
low price?
The Learning Curve in Practice
The Learning Curve in Practice
 How would the learning curve
influence your decision?
 The Empirical Findings
 Study of 37 chemical products
 Average cost fell 5.5% per year
 For each doubling of plant size, average
production costs fall by 11%
 For each doubling of cumulative output, the
average cost of production falls by 27%
 Which is more important, the economies of
scale or learning effects?
The Learning Curve in Practice
 Other Empirical Findings
In the semi-conductor industry a study of
seven generations of DRAM
semiconductors from 1974-1992 found
learning rates averaged 20%.
In the aircraft industry the learning rates
are as high as 40%.
The Learning Curve in Practice
 Applying Learning Curves
1) To determine if it is profitable to
enter an industry.
2) To determine when profits will
occur based on plant size and
cumulative output.
The Learning Curve in Practice
Estimating and Predicting Cost
 Estimates of future costs can be
obtained from a cost function, which
relates the cost of production to the
level of output and other variables
that the firm can control.
 Suppose we wanted to derive the
total cost curve for automobile
production.
Total Cost Curve
for the Automobile Industry
Quantity of Cars
Variable
cost
General Motors
Toyota
Ford
Chrysler
Volvo
Honda
Nissan
 A linear cost function (does not show
the U-shaped characteristics) might
be:
 The linear cost function is applicable
only if marginal cost is constant.
Marginal cost is represented by .
Qβ=VC
β
Estimating and Predicting Cost
 If we wish to allow for a U-shaped
average cost curve and a marginal
cost that is not constant, we might
use the quadratic cost function:
2
VC QQ γβ +=
Estimating and Predicting Cost
 If the marginal cost curve is not linear,
we might use a cubic cost function:
32
VC QQQ δγβ ++=
Estimating and Predicting Cost
Cubic Cost Function
Output
(per time period)
Cost
($ per unit)
2
QQAVC δγβ ++=
2
QQM δγβ 32 ++=C
 Difficulties in Measuring Cost
1) Output data may represent an
aggregate of different type of products.
2) Cost data may not include opportunity
cost.
3) Allocating cost to a particular product
may be difficult when there is more than
one product line.
Estimating and Predicting Cost
 Cost Functions and the Measurement of
Scale Economies
 Scale Economy Index (SCI)
 EC = 1, SCI = 0: no economies or
diseconomies of scale
 EC > 1, SCI is negative: diseconomies of
scale
 EC < 1, SCI is positive: economies of scale
Estimating and Predicting Cost
Cost Functions for Electric Power
Scale Economies in the Electric Power IndustryScale Economies in the Electric Power Industry
Output (million kwh) 43 338 1109 2226 5819
Value of SCI, 1955 .41 .26 .16 .10 .04
Average Cost of Production
in the Electric Power Industry
Output (billions of kwh)
Average
Cost
(dollar/1000 kwh)
5.0
5.5
6.0
6.5
6 12 18 24 30 36
1955
1970
A
Cost Functions for Electric Power
 Findings
Decline in cost
 Not due to economies of scale
 Was caused by:
 Lower input cost (coal & oil)
 Improvements in technology
A Cost Function for the
Savings and Loan Industry
 The empirical estimation of a long-run
cost function can be useful in the
restructuring of the savings and loan
industry in the wake of the savings
and loan collapse in the 1980s.
 Data for 86 savings and loans for
1975 & 1976 in six western states
Q = total assets of each S&L
LAC = average operating expense
Q & TC are measured in hundreds of
millions of dollars
Average operating cost are measured as
a percentage of total assets.
A Cost Function for the
Savings and Loan Industry
 A quadratic long-run average cost function
was estimated for 1975:
 Minimum long-run average cost reaches its
point of minimum average total cost when
total assets of the savings and loan reach
$574 million.
2
0.0536Q0.6153Q-2.38LAC +=
A Cost Function for the
Savings and Loan Industry
 Average operating expenses are
0.61% of total assets.
 Almost all of the savings and loans in
the region being studied had
substantially less than $574 million in
assets.
A Cost Function for the
Savings and Loan Industry
 Questions
1) What are the implications of the
analysis for expansion and
mergers?
2) What are the limitations of using
these results?
A Cost Function for the
Savings and Loan Industry
Summary
 Managers, investors, and economists
must take into account the
opportunity cost associated with the
use of the firm’s resources.
 Firms are faced with both fixed and
variable costs in the short-run.
Summary
 When there is a single variable input,
as in the short run, the presence of
diminishing returns determines the
shape of the cost curves.
 In the long run, all inputs to the
production process are variable.
Summary
 The firm’s expansion path describes
how its cost-minimizing input choices
vary as the scale or output of its
operation increases.
 The long-run average cost curve is
the envelope of the short-run average
cost curves.
Summary
 A firm enjoys economies of scale
when it can double its output at less
than twice the cost.
 Economies of scope arise when the
firm can produce any combination of
the two outputs more cheaply than
could two independent firms that each
produced a single product.
Summary
 A firm’s average cost of production
can fall over time if the firm “learns”
how to produce more effectively.
 Cost functions relate the cost of
production to the level of output of the
firm.
End of Chapter 7
The Cost of
Production

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Chapter 7 cost of production

  • 1. Chapter 7 The Cost of Production
  • 2. Topics to be Discussed  Measuring Cost: Which Costs Matter?  Cost in the Short Run  Cost in the Long Run  Long-Run Versus Short-Run Cost Curves
  • 3. Topics to be Discussed  Production with Two Outputs-- Economies of Scope  Dynamic Changes in Costs--The Learning Curve  Estimating and Predicting Cost
  • 4. Introduction  The production technology measures the relationship between input and output.  Given the production technology, managers must choose how to produce.
  • 5. Introduction  To determine the optimal level of output and the input combinations, we must convert from the unit measurements of the production technology to dollar measurements or costs.
  • 6. Measuring Cost: Which Costs Matter?  Accounting Cost Actual expenses plus depreciation charges for capital equipment  Economic Cost Cost to a firm of utilizing economic resources in production, including opportunity cost Economic Cost vs. Accounting CostEconomic Cost vs. Accounting Cost
  • 7.  Opportunity cost. Cost associated with opportunities that are foregone when a firm’s resources are not put to their highest-value use. Measuring Cost: Which Costs Matter?
  • 8.  An Example A firm owns its own building and pays no rent for office space Does this mean the cost of office space is zero? Measuring Cost: Which Costs Matter?
  • 9.  Sunk Cost Expenditure that has been made and cannot be recovered Should not influence a firm’s decisions. Measuring Cost: Which Costs Matter?
  • 10.  An Example  A firm pays $500,000 for an option to buy a building.  The cost of the building is $5 million or a total of $5.5 million.  The firm finds another building for $5.25 million.  Which building should the firm buy? Measuring Cost: Which Costs Matter?
  • 11. Choosing the Location for a New Law School Building  Northwestern University Law School 1) Current location in downtown Chicago 2) Alternative location in Evanston with the main campus
  • 12.  Northwestern University Law School 3) Choosing a Site  Land owned in Chicago  Must purchase land in Evanston  Chicago location might appear cheaper without considering the opportunity cost of the downtown land (i.e. what it could be sold for) Choosing the Location for a New Law School Building
  • 13.  Northwestern University Law School 3) Choosing a Site  Chicago location chosen--very costly  Justified only if there is some intrinsic values associated with being in Chicago  If not, it was an inefficient decision if it was based on the assumption that the downtown land was “free” Choosing the Location for a New Law School Building
  • 14.  Total output is a function of variable inputs and fixed inputs.  Therefore, the total cost of production equals the fixed cost (the cost of the fixed inputs) plus the variable cost (the cost of the variable inputs), or… VCFCTC += Measuring Cost: Which Costs Matter? Fixed and Variable CostsFixed and Variable Costs
  • 15.  Fixed Cost Does not vary with the level of output  Variable Cost Cost that varies as output varies Measuring Cost: Which Costs Matter? Fixed and Variable CostsFixed and Variable Costs
  • 16.  Fixed Cost Cost paid by a firm that is in business regardless of the level of output  Sunk Cost Cost that have been incurred and cannot be recovered Measuring Cost: Which Costs Matter?
  • 17.  Personal Computers: most costs are variable Components, labor  Software: most costs are sunk Cost of developing the software Measuring Cost: Which Costs Matter?
  • 18.  Pizza Largest cost component is fixed Measuring Cost: Which Costs Matter?
  • 19. A Firm’s Short-Run Costs ($) 0 50 0 50 --- --- --- --- 1 50 50 100 50 50 50 100 2 50 78 128 28 25 39 64 3 50 98 148 20 16.7 32.7 49.3 4 50 112 162 14 12.5 28 40.5 5 50 130 180 18 10 26 36 6 50 150 200 20 8.3 25 33.3 7 50 175 225 25 7.1 25 32.1 8 50 204 254 29 6.3 25.5 31.8 9 50 242 292 38 5.6 26.9 32.4 10 50 300 350 58 5 30 35 11 50 385 435 85 4.5 35 39.5 Rate of Fixed Variable Total Marginal Average Average Average Output Cost Cost Cost Cost Fixed Variable Total (FC) (VC) (TC) (MC) Cost Cost Cost (AFC) (AVC) (ATC)
  • 20. Cost in the Short Run  Marginal Cost (MC) is the cost of expanding output by one unit. Since fixed cost have no impact on marginal cost, it can be written as: Q TC Q VC MC ∆ ∆ = ∆ ∆ =
  • 21. Cost in the Short Run  Average Total Cost (ATC) is the cost per unit of output, or average fixed cost (AFC) plus average variable cost (AVC). This can be written: Q TVC Q TFC ATC +=
  • 22. Cost in the Short Run  Average Total Cost (ATC) is the cost per unit of output, or average fixed cost (AFC) plus average variable cost (AVC). This can be written: Q TC orAVCAFCATC +=
  • 23. Cost in the Short Run  The Determinants of Short-Run Cost The relationship between the production function and cost can be exemplified by either increasing returns and cost or decreasing returns and cost.
  • 24. Cost in the Short Run  The Determinants of Short-Run Cost  Increasing returns and cost  With increasing returns, output is increasing relative to input and variable cost and total cost will fall relative to output.  Decreasing returns and cost  With decreasing returns, output is decreasing relative to input and variable cost and total cost will rise relative to output.
  • 25. Cost in the Short Run  For Example: Assume the wage rate (w) is fixed relative to the number of workers hired. Then: Q VC MC ∆ ∆ = LVC w=
  • 26. Cost in the Short Run  Continuing: LVC ∆=∆ w Q L MC ∆ ∆ = w
  • 27. Cost in the Short Run  Continuing: L MPL ∆ ∆ =∆ Q LMP 1 Q L Qunit1aforL ∆ = ∆ ∆ =∆∆
  • 28. Cost in the Short Run  In conclusion:  …and a low marginal product (MP) leads to a high marginal cost (MC) and vise versa. LMP MC w =
  • 29. Cost in the Short Run  Consequently (from the table): MC decreases initially with increasing returns  0 through 4 units of output MC increases with decreasing returns  5 through 11 units of output
  • 30. A Firm’s Short-Run Costs ($) 0 50 0 50 --- --- --- --- 1 50 50 100 50 50 50 100 2 50 78 128 28 25 39 64 3 50 98 148 20 16.7 32.7 49.3 4 50 112 162 14 12.5 28 40.5 5 50 130 180 18 10 26 36 6 50 150 200 20 8.3 25 33.3 7 50 175 225 25 7.1 25 32.1 8 50 204 254 29 6.3 25.5 31.8 9 50 242 292 38 5.6 26.9 32.4 10 50 300 350 58 5 30 35 11 50 385 435 85 4.5 35 39.5 Rate of Fixed Variable Total Marginal Average Average Average Output Cost Cost Cost Cost Fixed Variable Total (FC) (VC) (TC) (MC) Cost Cost Cost (AFC) (AVC) (ATC)
  • 31. Cost Curves for a Firm Output Cost ($ per year) 100 200 300 400 0 1 2 3 4 5 6 7 8 9 10 11 12 13 VC Variable cost increases with production and the rate varies with increasing & decreasing returns. TC Total cost is the vertical sum of FC and VC. FC50 Fixed cost does not vary with output
  • 32. Cost Curves for a Firm Output (units/yr.) Cost ($ per unit) 25 50 75 100 0 1 2 3 4 5 6 7 8 9 10 11 MC ATC AVC AFC
  • 33. Cost Curves for a Firm  The line drawn from the origin to the tangent of the variable cost curve:  Its slope equals AVC  The slope of a point on VC equals MC  Therefore, MC = AVC at 7 units of output (point A) Output P 100 200 300 400 0 1 2 3 4 5 6 7 8 9 10 11 12 13 FC VC A TC
  • 34. Cost Curves for a Firm  Unit Costs  AFC falls continuously  When MC < AVC or MC < ATC, AVC & ATC decrease  When MC > AVC or MC > ATC, AVC & ATC increase Output (units/yr.) Cost ($ per unit) 25 50 75 100 0 1 2 3 4 5 6 7 8 9 10 11 MC ATC AVC AFC
  • 35. Cost Curves for a Firm  Unit Costs  MC = AVC and ATC at minimum AVC and ATC  Minimum AVC occurs at a lower output than minimum ATC due to FC Output (units/yr.) Cost ($ per unit) 25 50 75 100 0 1 2 3 4 5 6 7 8 9 10 11 MC ATC AVC AFC
  • 36. Operating Costs for Aluminum Smelting ($/Ton - based on an output of 600 tons/day) Variable costs that are constant at all output levels Electricity $316 Alumina 369 Other raw materials 125 Plant power and fuel 10 Subtotal $820
  • 37. Operating Costs for Aluminum Smelting ($/Ton - based on an output of 600 tons/day) Variable costs that increase when output exceeds 600 tons/day Labor $150 Maintenance 120 Freight 50 Subtotal $320 Total operating costs $1140
  • 38. The Short-Run Variable Costs of Aluminum Smelting Output (tons/day) Cost ($ per ton) 1100 1200 1300 300 600 900 1140 MC AVC
  • 39. Cost in the Long Run  User Cost of Capital = Economic Depreciation + (Interest Rate)(Value of Capital) The User Cost of CapitalThe User Cost of Capital
  • 40. Cost in the Long Run  Example Delta buys a Boeing 737 for $150 million with an expected life of 30 years  Annual economic depreciation = $150 million/30 = $5 million  Interest rate = 10% The User Cost of CapitalThe User Cost of Capital
  • 41. Cost in the Long Run  Example User Cost of Capital = $5 million + (.10) ($150 million – depreciation)  Year 1 = $5 million + (.10) ($150 million) = $20 million  Year 10 = $5 million + (.10) ($100 million) = $15 million The User Cost of CapitalThe User Cost of Capital
  • 42. Cost in the Long Run  Rate per dollar of capital r = Depreciation Rate + Interest Rate The User Cost of CapitalThe User Cost of Capital
  • 43. Cost in the Long Run  Airline Example Depreciation Rate = 1/30 = 3.33/yr Rate of Return = 10%/yr  User Cost of Capital r = 3.33 + 10 = 13.33%/yr The User Cost of CapitalThe User Cost of Capital
  • 44. Cost in the Long Run  Assumptions Two Inputs: Labor (L) & capital (K) Price of labor: wage rate (w) The price of capital  R = depreciation rate + interest rate The Cost Minimizing Input ChoiceThe Cost Minimizing Input Choice
  • 45. Cost in the Long Run  Question If capital was rented, would it change the value of r ? The User Cost of CapitalThe User Cost of CapitalThe Cost Minimizing Input ChoiceThe Cost Minimizing Input Choice
  • 46. Cost in the Long Run  The Isocost Line C = wL + rK Isocost: A line showing all combinations of L & K that can be purchased for the same cost The User Cost of CapitalThe User Cost of CapitalThe Cost Minimizing Input ChoiceThe Cost Minimizing Input Choice
  • 47. Cost in the Long Run  Rewriting C as linear: K = C/r - (w/r)L  Slope of the isocost:  is the ratio of the wage rate to rental cost of capital.  This shows the rate at which capital can be substituted for labor with no change in cost. ( )r w L K −= ∆ ∆ The Isocost LineThe Isocost Line
  • 48. Choosing Inputs  We will address how to minimize cost for a given level of output. We will do so by combining isocosts with isoquants
  • 49. Producing a Given Output at Minimum Cost Labor per year Capital per year Isocost C2 shows quantity Q1 can be produced with combination K2L2 or K3L3. However, both of these are higher cost combinations than K1L1. Q1 Q1 is an isoquant for output Q1. Isocost curve C0 shows all combinations of K and L that can produce Q1 at this cost level. C0 C1 C2 CO C1 C2 are three isocost lines A K1 L1 K3 L3 K2 L2
  • 50. Input Substitution When an Input Price Change C2 This yields a new combination of K and L to produce Q1. Combination B is used in place of combination A. The new combination represents the higher cost of labor relative to capital and therefore capital is substituted for labor. K2 L2 B C1 K1 L1 A Q1 If the price of labor changes, the isocost curve becomes steeper due to the change in the slope -(w/L). Labor per year Capital per year
  • 51. Cost in the Long Run  Isoquants and Isocosts and the Production Function K L MP MP-MRTS = ∆ ∆= L K r w L K −= ∆ ∆=lineisocostofSlope r w MP MP K L ==and
  • 52. Cost in the Long Run  The minimum cost combination can then be written as: Minimum cost for a given output will occur when each dollar of input added to the production process will add an equivalent amount of output. rw KL MPMP =
  • 53. Cost in the Long Run  Question If w = $10, r = $2, and MPL = MPK, which input would the producer use more of? Why?
  • 54. The Effect of Effluent Fees on Firms’ Input Choices  Firms that have a by-product to production produce an effluent.  An effluent fee is a per-unit fee that firms must pay for the effluent that they emit.  How would a producer respond to an effluent fee on production?
  • 55.  The Scenario: Steel Producer 1) Located on a river: Low cost transportation and emission disposal (effluent). 2) EPA imposes a per unit effluent fee to reduce the environmentally harmful effluent. The Effect of Effluent Fees on Firms’ Input Choices
  • 56.  The Scenario: Steel Producer 3) How should the firm respond? The Effect of Effluent Fees on Firms’ Input Choices
  • 57. The Cost-Minimizing Response to an Effluent Fee Waste Water (gal./month) Capital (machine hours per month) Output of 2,000 Tons of Steel per Month A 10,000 18,000 20,0000 12,000 Slope of isocost = -10/40 = -0.25 2,000 1,000 4,000 3,000 5,000 5,000
  • 58. The Cost-Minimizing Response to an Effluent Fee Output of 2,000 Tons of Steel per Month 2,000 1,000 4,000 3,000 5,000 10,000 18,000 20,0000 12,000 Capital (machine hours per month) E 5,000 3,500 Slope of isocost = -20/40 = -0.50 B Following the imposition of the effluent fee of $10/gallon the slope of the isocost changes which the higher cost of water to capital so now combination B is selected.A Prior to regulation the firm chooses to produce an output using 10,000 gallons of water and 2,000 machine-hours of capital at A. C F Waste Water (gal./month)
  • 59.  Observations: The more easily factors can be substituted, the more effective the fee is in reducing the effluent. The greater the degree of substitutes, the less the firm will have to pay (for example: $50,000 with combination B instead of $100,000 with combination A) The Effect of Effluent Fees on Firms’ Input Choices
  • 60.  Cost minimization with Varying Output Levels A firm’s expansion path shows the minimum cost combinations of labor and capital at each level of output. Cost in the Long Run
  • 61. A Firm’s Expansion Path Labor per year Capital per year Expansion Path The expansion path illustrates the least-cost combinations of labor and capital that can be used to produce each level of output in the long-run. 25 50 75 100 150 10050 150 300200 A $2000 Isocost Line 200 Unit Isoquant B $3000 Isocost Line 300 Unit Isoquant C
  • 62. A Firm’s Long-Run Total Cost Curve Output, Units/yr Cost per Year Expansion Path 1000 100 300200 2000 3000 D E F
  • 63. Long-Run Versus Short-Run Cost Curves  What happens to average costs when both inputs are variable (long run) versus only having one input that is variable (short run)?
  • 64. Long-Run Expansion Path The long-run expansion path is drawn as before.. The Inflexibility of Short-Run Production Labor per year Capital per year L2 Q2 K2 D C F E Q1 A BL1 K1 L3 P Short-Run Expansion Path
  • 65.  Long-Run Average Cost (LAC) Constant Returns to Scale  If input is doubled, output will double and average cost is constant at all levels of output. Long-Run Versus Short-Run Cost Curves
  • 66.  Long-Run Average Cost (LAC) Increasing Returns to Scale  If input is doubled, output will more than double and average cost decreases at all levels of output. Long-Run Versus Short-Run Cost Curves
  • 67.  Long-Run Average Cost (LAC) Decreasing Returns to Scale  If input is doubled, the increase in output is less than twice as large and average cost increases with output. Long-Run Versus Short-Run Cost Curves
  • 68.  Long-Run Average Cost (LAC) In the long-run:  Firms experience increasing and decreasing returns to scale and therefore long-run average cost is “U” shaped. Long-Run Versus Short-Run Cost Curves
  • 69.  Long-Run Average Cost (LAC) Long-run marginal cost leads long-run average cost:  If LMC < LAC, LAC will fall  If LMC > LAC, LAC will rise  Therefore, LMC = LAC at the minimum of LAC Long-Run Versus Short-Run Cost Curves
  • 70. Long-Run Average and Marginal Cost Output Cost ($ per unit of output LAC LMC A
  • 71.  Question What is the relationship between long- run average cost and long-run marginal cost when long-run average cost is constant? Long-Run Versus Short-Run Cost Curves
  • 72.  Economies and Diseconomies of Scale Economies of Scale  Increase in output is greater than the increase in inputs. Diseconomies of Scale  Increase in output is less than the increase in inputs. Long-Run Versus Short-Run Cost Curves
  • 73.  Measuring Economies of Scale outputin increase1%afromcostin%Δ elasticityoutputCostEc = −= Long-Run Versus Short-Run Cost Curves
  • 74.  Measuring Economies of Scale )//()/( QQCCEc ∆∆= MC/AC)//()/( =∆∆= QCQCEc Long-Run Versus Short-Run Cost Curves
  • 75.  Therefore, the following is true:  EC < 1: MC < AC  Average cost indicate decreasing economies of scale  EC = 1: MC = AC  Average cost indicate constant economies of scale  EC > 1: MC > AC  Average cost indicate increasing diseconomies of scale Long-Run Versus Short-Run Cost Curves
  • 76.  The Relationship Between Short-Run and Long-Run Cost We will use short and long-run cost to determine the optimal plant size Long-Run Versus Short-Run Cost Curves
  • 77. Long-Run Cost with Constant Returns to Scale Output Cost ($ per unit of output Q3 SAC3 SMC3 Q2 SAC2 SMC2 LAC = LMC With many plant sizes with SAC = $10 the LAC = LMC and is a straight line Q1 SAC1 SMC1
  • 78.  Observation  The optimal plant size will depend on the anticipated output (e.g. Q1 choose SAC1,etc).  The long-run average cost curve is the envelope of the firm’s short-run average cost curves.  Question  What would happen to average cost if an output level other than that shown is chosen? Long-Run Cost with Constant Returns to Scale
  • 79. Long-Run Cost with Economies and Diseconomies of Scale Output Cost ($ per unit of output SMC1 SAC1 SAC2 SMC2 LMC If the output is Q1 a manager would chose the small plant SAC1 and SAC $8. Point B is on the LAC because it is a least cost plant for a given output. $10 Q1 $8 B A LACSAC3 SMC3
  • 80.  What is the firms’ long-run cost curve? Firms can change scale to change output in the long-run. The long-run cost curve is the dark blue portion of the SAC curve which represents the minimum cost for any level of output. Long-Run Cost with Constant Returns to Scale
  • 81.  Observations The LAC does not include the minimum points of small and large size plants? Why not? LMC is not the envelope of the short-run marginal cost. Why not? Long-Run Cost with Constant Returns to Scale
  • 82. Production with Two Outputs--Economies of Scope  Examples: Chicken farm--poultry and eggs Automobile company--cars and trucks University--Teaching and research
  • 83.  Economies of scope exist when the joint output of a single firm is greater than the output that could be achieved by two different firms each producing a single output.  What are the advantages of joint production?  Consider an automobile company producing cars and tractors Production with Two Outputs--Economies of Scope
  • 84.  Advantages 1) Both use capital and labor. 2) The firms share management resources. 3) Both use the same labor skills and type of machinery. Production with Two Outputs--Economies of Scope
  • 85.  Production: Firms must choose how much of each to produce. The alternative quantities can be illustrated using product transformation curves. Production with Two Outputs--Economies of Scope
  • 86. Product Transformation Curve Number of cars Number of tractors O2 O1 illustrates a low level of output. O2 illustrates a higher level of output with two times as much labor and capital.O1 Each curve shows combinations of output with a given combination of L & K.
  • 87.  Observations Product transformation curves are negatively sloped Constant returns exist in this example Since the production transformation curve is concave is joint production desirable? Production with Two Outputs--Economies of Scope
  • 88.  Observations There is no direct relationship between economies of scope and economies of scale.  May experience economies of scope and diseconomies of scale  May have economies of scale and not have economies of scope Production with Two Outputs--Economies of Scope
  • 89.  The degree of economies of scope measures the savings in cost and can be written:  C(Q1) is the cost of producing Q1  C(Q2) is the cost of producing Q2  C(Q1Q2) is the joint cost of producing both products )( )()()C( SC 2,1 2,121 QQC QQCQCQ −+ = Production with Two Outputs--Economies of Scope
  • 90.  Interpretation: If SC > 0 -- Economies of scope If SC < 0 -- Diseconomies of scope Production with Two Outputs--Economies of Scope
  • 91. Economies of Scope in the Trucking Industry  Issues Truckload versus less than truck load Direct versus indirect routing Length of haul
  • 92.  Questions: Economies of Scale  Are large-scale, direct hauls cheaper and more profitable than individual hauls by small trucks?  Are there cost advantages from operating both direct and indirect hauls? Economies of Scope in the Trucking Industry
  • 93.  Empirical Findings An analysis of 105 trucking firms examined four distinct outputs.  Short hauls with partial loads  Intermediate hauls with partial loads  Long hauls with partial loads  Hauls with total loads Economies of Scope in the Trucking Industry
  • 94.  Empirical Findings  Results  SC = 1.576 for reasonably large firm  SC = 0.104 for very large firms  Interpretation  Combining partial loads at an intermediate location lowers cost management difficulties with very large firms. Economies of Scope in the Trucking Industry
  • 95. Dynamic Changes in Costs--The Learning Curve  The learning curve measures the impact of worker’s experience on the costs of production.  It describes the relationship between a firm’s cumulative output and amount of inputs needed to produce a unit of output.
  • 96. The Learning Curve Cumulative number of machine lots produced Hours of labor per machine lot 10 20 30 40 500 2 4 6 8 10
  • 97. The Learning Curve Hours of labor per machine lot 10 20 30 40 500 2 4 6 8 10  The horizontal axis measures the cumulative number of hours of machine tools the firm has produced  The vertical axis measures the number of hours of labor needed to produce each lot.
  • 98.  The learning curve in the figure is based on the relationship: β− = BNL 1and0betweenisandpositiveare constantsareand outputofunitperinputlabor producedoutputofunitscumulative β β B&A BA, L N = = Dynamic Changes in Costs--The Learning Curve
  • 99.  L equals A + B and this measures labor input to produce the first unit of output  Labor input remains constant as the cumulative level of output increases, so there is no learning :0=βIf :1=NIf Dynamic Changes in Costs--The Learning Curve
  • 100.  L approaches A, and A represent minimum labor input/unit of output after all learning has taken place.  The more important the learning effect. :increasesand0 NIf >β :largerThe β Dynamic Changes in Costs--The Learning Curve
  • 101. The Learning Curve Cumulative number of machine lots produced Hours of labor per machine lot 10 20 30 40 500 2 4 6 8 10 31.0=β The chart shows a sharp drop in lots to a cumulative amount of 20, then small savings at higher levels. Doubling cumulative output causes a 20% reduction in the difference between the input required and minimum attainable input requirement.
  • 102.  Observations 1) New firms may experience a learning curve, not economies of scale. 2) Older firms have relatively small gains from learning. Dynamic Changes in Costs--The Learning Curve
  • 103. Economies of Scale Versus Learning Output Cost ($ per unit of output) AC1 B Economies of Scale A AC2 Learning C
  • 104. Predicting the Labor Requirements of Producing a Given Output 10 1.00 10.0 20 .80 18.0 (10.0 + 8.0) 30 .70 25.0 (18.0 + 7.0) 40 .64 31.4 (25.0 + 6.4) 50 .60 37.4 (31.4 + 6.0) 60 .56 43.0 (37.4 + 5.6) 70 .53 48.3 (43.0 + 5.3) 80 and over .51 53.4 (48.3 + 5.1) Cumulative Output Per-Unit Labor Requirement Total Labor (N) for each 10 units of Output (L) Requirement
  • 105.  The learning curve implies: 1) The labor requirement falls per unit. 2) Costs will be high at first and then will fall with learning. 3) After 8 years the labor requirement will be 0.51 and per unit cost will be half what it was in the first year of production. Dynamic Changes in Costs--The Learning Curve
  • 106.  Scenario  A new firm enters the chemical processing industry.  Do they: 1) Produce a low level of output and sell at a high price? 2) Produce a high level of output and sell at a low price? The Learning Curve in Practice
  • 107. The Learning Curve in Practice  How would the learning curve influence your decision?
  • 108.  The Empirical Findings  Study of 37 chemical products  Average cost fell 5.5% per year  For each doubling of plant size, average production costs fall by 11%  For each doubling of cumulative output, the average cost of production falls by 27%  Which is more important, the economies of scale or learning effects? The Learning Curve in Practice
  • 109.  Other Empirical Findings In the semi-conductor industry a study of seven generations of DRAM semiconductors from 1974-1992 found learning rates averaged 20%. In the aircraft industry the learning rates are as high as 40%. The Learning Curve in Practice
  • 110.  Applying Learning Curves 1) To determine if it is profitable to enter an industry. 2) To determine when profits will occur based on plant size and cumulative output. The Learning Curve in Practice
  • 111. Estimating and Predicting Cost  Estimates of future costs can be obtained from a cost function, which relates the cost of production to the level of output and other variables that the firm can control.  Suppose we wanted to derive the total cost curve for automobile production.
  • 112. Total Cost Curve for the Automobile Industry Quantity of Cars Variable cost General Motors Toyota Ford Chrysler Volvo Honda Nissan
  • 113.  A linear cost function (does not show the U-shaped characteristics) might be:  The linear cost function is applicable only if marginal cost is constant. Marginal cost is represented by . Qβ=VC β Estimating and Predicting Cost
  • 114.  If we wish to allow for a U-shaped average cost curve and a marginal cost that is not constant, we might use the quadratic cost function: 2 VC QQ γβ += Estimating and Predicting Cost
  • 115.  If the marginal cost curve is not linear, we might use a cubic cost function: 32 VC QQQ δγβ ++= Estimating and Predicting Cost
  • 116. Cubic Cost Function Output (per time period) Cost ($ per unit) 2 QQAVC δγβ ++= 2 QQM δγβ 32 ++=C
  • 117.  Difficulties in Measuring Cost 1) Output data may represent an aggregate of different type of products. 2) Cost data may not include opportunity cost. 3) Allocating cost to a particular product may be difficult when there is more than one product line. Estimating and Predicting Cost
  • 118.  Cost Functions and the Measurement of Scale Economies  Scale Economy Index (SCI)  EC = 1, SCI = 0: no economies or diseconomies of scale  EC > 1, SCI is negative: diseconomies of scale  EC < 1, SCI is positive: economies of scale Estimating and Predicting Cost
  • 119. Cost Functions for Electric Power Scale Economies in the Electric Power IndustryScale Economies in the Electric Power Industry Output (million kwh) 43 338 1109 2226 5819 Value of SCI, 1955 .41 .26 .16 .10 .04
  • 120. Average Cost of Production in the Electric Power Industry Output (billions of kwh) Average Cost (dollar/1000 kwh) 5.0 5.5 6.0 6.5 6 12 18 24 30 36 1955 1970 A
  • 121. Cost Functions for Electric Power  Findings Decline in cost  Not due to economies of scale  Was caused by:  Lower input cost (coal & oil)  Improvements in technology
  • 122. A Cost Function for the Savings and Loan Industry  The empirical estimation of a long-run cost function can be useful in the restructuring of the savings and loan industry in the wake of the savings and loan collapse in the 1980s.
  • 123.  Data for 86 savings and loans for 1975 & 1976 in six western states Q = total assets of each S&L LAC = average operating expense Q & TC are measured in hundreds of millions of dollars Average operating cost are measured as a percentage of total assets. A Cost Function for the Savings and Loan Industry
  • 124.  A quadratic long-run average cost function was estimated for 1975:  Minimum long-run average cost reaches its point of minimum average total cost when total assets of the savings and loan reach $574 million. 2 0.0536Q0.6153Q-2.38LAC += A Cost Function for the Savings and Loan Industry
  • 125.  Average operating expenses are 0.61% of total assets.  Almost all of the savings and loans in the region being studied had substantially less than $574 million in assets. A Cost Function for the Savings and Loan Industry
  • 126.  Questions 1) What are the implications of the analysis for expansion and mergers? 2) What are the limitations of using these results? A Cost Function for the Savings and Loan Industry
  • 127. Summary  Managers, investors, and economists must take into account the opportunity cost associated with the use of the firm’s resources.  Firms are faced with both fixed and variable costs in the short-run.
  • 128. Summary  When there is a single variable input, as in the short run, the presence of diminishing returns determines the shape of the cost curves.  In the long run, all inputs to the production process are variable.
  • 129. Summary  The firm’s expansion path describes how its cost-minimizing input choices vary as the scale or output of its operation increases.  The long-run average cost curve is the envelope of the short-run average cost curves.
  • 130. Summary  A firm enjoys economies of scale when it can double its output at less than twice the cost.  Economies of scope arise when the firm can produce any combination of the two outputs more cheaply than could two independent firms that each produced a single product.
  • 131. Summary  A firm’s average cost of production can fall over time if the firm “learns” how to produce more effectively.  Cost functions relate the cost of production to the level of output of the firm.
  • 132. End of Chapter 7 The Cost of Production