3 Oct 2000
Cost Analysis
In this unit we shall develop and apply a number of fundamental economic
cost concepts.
Lecture Outline
Lecture Notes
- Unforeseen inflation
- Unpredictable changes in technology
- Unpredictable changes in input and output market prices and conditions
- Difference between accounting and economic cost measures
- Economic worth is measured by profit-generating capability
- Economic cost includes opportunity cost, which requires that
we not only understand actions taken, but also understand actions
not taken
- Historical cost indicates market conditions at time of purchase,
and is used in tax analysis, while current cost, which reflects current
market conditions, is more relevant in valuation and cost analysis
at the managerial level. Current costs can be represented by replacement
cost, which is the cost of replacing the productive capability of
the capital item at current market prices.
The opportunity cost of an asset (or, more generally,
of a choice) is the highest valued opportunity that must be passed up
to allow current use. Thus the monthly opportunity cost of a latte cart
owned by Isabel may be, for example, the monthly income the cart could
have generated if Isabel had rented the cart for someone else to use.
Explicit costs are expenses for which one must pay
with cash or equivalent. Because a cash transaction is involved, they
are relatively easily accounted for in analysis.
Implicit costs do not involve a cash transaction,
and so we use the opportunity cost concept to measure them. This analysis
requires detailed knowledge of alternatives that were not selected at
various decision points. Relevant here are the opportunity cost of the
firm's assets and cash, and of the owner's time invested in the firm.
Incremental cost is the change in cost caused by
a particular managerial decision. Thus the increment is at the decision
level, and may involve multiple units of change in output or input. Incremental
costs may be involved when considering a product or service modification
or a change in production process.
Sunk costs are those parts of the purchase cost
that cannot later be salvaged or modified through resale or other changes
in operations. Image advertising for a new product is a classic example
of a sunk cost, as is an option or investment in assets whose value is
specific to a particular situation. Sunk costs reflect commitment,
or irreversibility, and so are not a part of incremental analysis.
In microeconomics and managerial economics, the short
run is the decision-making period during which at least one input
is considered fixed. The fixed input is commonly considered to be some
aspect of capital, such the production facility, but may also be a normally
variable input that is fixed because of production technology requirements,
or a contractual commitment (e.g., a facility lease) related to production.
So when one refers to short-run analysis, the analysis is focused on a
planning period in which some input is fixed and others are variable,
and the manager is selecting levels of variable input and production output
to optimize given the constraint of the fixed input.
The actual time period that makes up the economic short
run depends on how long the fixed input remains fixed. A pizza shop whose
primary fixed input in the short run is their lease on their facility
has a short-run planning horizon equal to the period of time remaining
in their lease, which may be 6 months or 2 years. A utility with a new
coal-fired electric generating plant faces an economic short run planning
period for that plant that may span 20 years or more. At Arcata's Foodworks
business incubator, which offers leased commercial kitchen spaces for
startups, entrepreneurs typically install use-specific modifications to
the space for their particular needs, and so the lease commitment (and
so the short-run planning horizon) may be 1-3 years or more.
In contrast, the economic long run is a planning
horizon that looks beyond current commitments to a future period in which
all inputs can be varied. A typical long-run analytical problem is the
decision of whether to adjust capacity, seek a larger (or smaller) facility,
to change product lines, or to adopt a new technology.
At any given time managers must be concerned with both
short-run and long-run analysis. Firms must be concerned with both the
problem of optimizing in the current (short-run) situation as well positioning
the firm for optimizing in the future (long-run).
By definition, fixed costs do not vary with the
volume of goods or services produced as output. Fixed costs are the costs
associated with the fixed inputs that define the economic short run. Thus
fixed costs are only relevant in the economic short run. Even if the firm
temporarily shuts down, it still continues to incur the fixed cost expense.
This is typical of capital loans or facility lease agreements.
Variable costs, in contrast, vary (usually directly)
with the volume of good or services produced as output, and thus can be
avoided by a temporary shutdown.
In this section we will first define some terms, then
we will evaluate a hypothetical example and plot the data from the example
to illustrate cost curves.
Total Cost (TC) = Total Fixed Cost (TFC) + Total Variable
Cost (TVC)
Average Fixed Cost (AFC) = TFC/Q
Average Variable Cost (AVC) = TVC/Q
Average Total Cost (ATC) = TC/Q
Marginal Cost (MC) = @TC/@Q ('@' refers to 'change in')
Consider the following example:
We can see the relationships between these various costs
a bit more clearly if we plot them:
In the diagram above, we can see that the vertical difference
between TC and TVC is equal to TFC, which is constant (thus TC and TVC
are parallel). Lets have a look at a plot of the average and marginal
cost relations:
Note here that the vertical difference between AC and AVC
is equal to AFC, similar to the situation with the total cost relations,
but the key difference is that AFC declines (monotonically) as Q rises
-- there is more output over which to 'spread' the TFC, and thus AFC declines.
This was the argument given for why the cost/jet for fancy new military
jets declines as more are ordered -- the fixed R&D and setup costs are
spread across more jets.
Another relation that is important to notice is that marginal
cost crosses the average costs at their minimum point. The story here
is that marginal pulls average down when marginal is less than average,
and pulls average up when marginal is above average. Thus if marginal
drops below average, but then rises faster than average, it must cross
the average curves at their minimum points. Consider the analogy between
cumulative average grade point average (GPA) and semester (marginal) GPA.
If semester GPA is less than the cumulative average, it pulls the average
down, while if semester GPA is greater than the cumulative average, it
pulls the cumulative average up. Note too that the larger is 'Q', the
less impact the marginal has on the average. The metaphor for 'Q' would
be semesters in the GPA analogy.
Here we will discuss issues relating returns to scale
(production) to economies of scale (costs). We will also discuss the long-run
average cost curve (LRAC) as the lower envelope of the set of all possible
short-run average cost (SRAC) curves. These points will then lead us to
the concept of minimum efficient scale. A key long-run issue addressed
here is planning associated with changes in scale of operation.
Recall that returns to scale relates to productivity
of inputs. Thus increasing returns to scale occurs when the output elasticity
is greater than 1 -- when, for example, a 10% increase in input usage
results in more than a 10% increase in output. Increasing returns
to scale occur when the economies of specialization outweigh the diseconomies
of congestion in a given production facility. Decreasing returns to scale
occur, on the other hand, when a 10% increase in input usage results in
less than a 10% increase in output. Decreasing returns to scale occur
when the diseconomies of congestion outweigh the economies of specialization.
Increasing returns to scale means that the total product
(TP) curve is rising at an increasing rate, and that marginal product
(MP) is rising. Decreasing returns to scale occur when TP is rising at
a decreasing rate (or is actually declining), and MP is declining.
It ends up that there is a linkage between returns to scale
on the production side, and economies of scale on the cost side.
Economies of scale occur when average cost (AC) is declining as Q rises,
while diseconomies of scale occur when AC is rising as Q rises.
Take a moment and try to figure out the story for why increasing
returns to scale imply economies of scale, and why decreasing returns
to scale imply diseconomies of scale. Hint: its easiest to see when marginal
factor cost (e.g., hourly labor cost) is fixed, and so marginal cost is
inversely related to marginal product.
To see this duality between production and cost, lets expand
the example given above to include a variable factor X used in relatively
large amounts to produce a given unit of output Q:
Compare the two diagrams below. We can then see that marginal
cost (MC) rises when marginal product (MP) falls, and MC falls when MP
rises:

Thus when there are economies of scale there is an incentive
for firms to grow larger because increasing Q results in lower unit cost
(AC), and thus allows the firm to be more price competitive with its rivals.
That's why we rarely see firms operating when there are returns to scale
in production -- there is an incentive to exploit them and grow larger.
Next, lets discuss the notion of the long-run average cost
curve (LRAC). The LRAC is the lower envelope of the efficient short-run
average cost curves for all different scales of operation for a firm.
The term 'lower envelope' simply means that at any given production level,
in the long run the firm can select the technology appropriate for that
production level, and thus placing it on the minimum point on the most
efficient short-run average cost curve. Thus the LRAC is made up of the
minimum points on all the short-run average cost curves that would be
efficient for various possible output levels.
Minimum efficient scale occurs at the first point
where a firm encounters the minimum point on its long-run average cost
curve.
In most consumer products markets there is multiplant
production by a particular firm. For example, a brewer facing relatively
high transportation costs may find it advantageous to have regional breweries.
This in fact is the case with the major national breweries in the US.
This is an example of a situation featuring multiplant economies of
scale, meaning that it is more economical to increase output by increasing
the number of production plants than to increase the scale of existing
facilities. In addition to transportation costs, most production facilities
will eventually experience diseconomies of scale -- they just get too
big to be efficiently managed. Either way, what happens is that the average
cost curve for a single production plant grows steeply, creating an incentive
to shift output growth to a new facility.
This can be seen easily in the following illustration:

You can see that average unit cost of production (including
distribution costs) is actually lower at 8000 units (per day) when two
smaller plants are used than when one big plant is used.
Another problem confronting a multiplant operation producing
the same good or service is to correctly set output across the multiple
plants. The solution to this problem calls for the application of a microeconomic
concept called the equimarginal principle. This principle calls
for each plant to produce at the same marginal cost level, which, if the
plants have different cost structures, will generally call for them to
produce at different output levels.
To see this, consider the following example:
If this firm is producing a good for sale in a highly competitive
market where price is currently $12, for example, then each plant should
be operated at an output level at which MR = MC. Since MR = P in a competitive
market, the equimarginal principle would call for each plant to operate
where P = MC = $12. To prove this to yourself, suppose (for simplicity)
that each plant has a fixed cost of 100. Add up the marginal costs to
get TVC, add that to TFC = 100 to get TC. Calculate profit (PxQ) at the
indicated output level when price = $12, and determine whether it is possible
to re-allocate production and raise profit.
Average costs may decline with cumulative production
because of managerial and other learning effects. Simply speaking, experience
with a particular set of suppliers, production process, facility, workforce,
distribution network, and manageral team can result in improvements in
technical efficiency.
Economies of scope refer to a situation in which
average costs (unit costs) are lower when two complementary products are
produced by a single enterprise (either the same facility, the same management
team, the same firm or trademark owner, or the same proximate location)
than when they are produced separately. This economy to joint production
is fairly common. Universities are conglomerations of different colleges,
each of which produce different forms of educational experience. In this
case the economy to joint production has to do with the concept of a liberal
education, in which students are advantaged by having contact with
classes from outside their major area. Moreover, each college benefits
from the umbrella brand of the university name. Othe examples of
economies of scope include mutual fund firms that include a range of investment
vehicles (e.g., from stock funds to checkable money market funds) that
investors can switch to and from over time. The economy to joint production
here is the ease with which one can transfer funds across investment vehicles
within a given family of funds. Another example of umbrella branding is
in ready-to-eat (RTE) breakfast cereal, where firms have an array of goods
in product type space that lessen outside competition -- its easier to
collude with yourself than with others. An athletic shoe store may also
offer athletic socks and apparel because the complementary nature of the
goods lowers shopping costs for consumers.
This is simply a fancy name for breakeven analysis, which
is a common and useful analytical tool for determining the viability of
new products. Simply put, breakeven analysis is about determining profit
at various projected sales volume levels, identifying the breakeven point,
and making a managerial decision regarding the relationship between likely
sales and the breakeven point.
We can relatively easily derive the breakeven quantity.
Recall that AVC = TVC/Q. Then the breakeven quantity, Qb, occurs where:
Qb(P-AVC) - TFC = 0
which implies that:
Qb = TFC/(P-AVC)
This is relatively easily computable by firms because TFC
and AVC are more readily available than MC.
All pages copyright Steve Hackett unless otherwise noted.
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