We can look at the business firm from at least two points of view: productivity, inputs, and outputs (as we have just done) or inputs and costs. In advanced microeconomics, these two points of view are called "duals." They are equally valid, but they point up different things. By looking at the firm from the point of view of costs, we shift our perspective somewhat, and gain a much more direct understanding of supply.
We also look more directly at the difference between the long and short run. In the short run, we have two major categories of costs:
Let's return to the numerical example in the last chapter. In that example we considered only the variable costs -- the labor costs in the John Bates Clark model of the firm. So we don't know what the fixed costs are. Let's assume that they are $80,000 per week, and the wages and all other costs are on a weekly basis too. Here is a table with the output, fixed, variable, and total (fixed plus variable) costs in the example.
| Q | FC | VC | TC |
|---|---|---|---|
| 0 | 80000 | 80000 | |
| 945 | 80000 | 50000 | 130000 |
| 1780 | 80000 | 100000 | 180000 |
| 2505 | 80000 | 150000 | 230000 |
| 3120 | 80000 | 200000 | 280000 |
| 3625 | 80000 | 250000 | 330000 |
| 4020 | 80000 | 300000 | 380000 |
| 4305 | 80000 | 350000 | 430000 |
| 4480 | 80000 | 400000 | 480000 |
| 4545 | 80000 | 450000 | 530000 |
| 4500 | 80000 | 500000 | 580000 |
In economics, all costs are included -- whether or not they correspond to money payments. If we have opportunity costs with no corresponding money payments, they are called implicit costs. The implicit costs (as well as the money costs) are included in the cost analysis we have just given.
There is some correlation between implicit costs and fixed or variable costs, but this correlation will be different in such different kinds of firms as
| Q | AC | AFC | AVC |
|---|---|---|---|
| 945 | 138 | 85 | 53 |
| 1780 | 101 | 45 | 56 |
| 2505 | 92 | 32 | 60 |
| 3120 | 90 | 26 | 64 |
| 3625 | 91 | 22 | 69 |
| 4020 | 95 | 20 | 75 |
| 4305 | 100 | 19 | 81 |
| 4480 | 107 | 18 | 89 |
| 4545 | 117 | 18 | 99 |
As usual, Q stands for (quantity of) output and C for cost, so
Q stands for the change in output, while
C stands for the change in cost. As usual, marginal cost can be interpreted as the additional cost of producing just one more ("marginal") unit of output.
Let's have a numerical example of the Marginal Cost definition to help make it clear. In the John Bates Clark style example we have been using, total cost is 280000 for an output of 3120, and it is 33000 for an output of 3625. So we have
and
so that
for a marginal cost of $99.01 for the next unit produced. As usual, this is an approximation, and the smaller the change in output we use, the better the approximation is. 


The question is: "I want to maximize profits. How much output should I sell, at the given price?"
The answer is: increase output until
p=MC
| Output | Average Cost | Marginal Cost | price | profit |
|---|---|---|---|---|
| 0 | 0 | 100 | 0 | |
| 9.45 | ||||
| 945 | 137.57 | 100 | -35503.65 | |
| 52.91 | ||||
| 1780 | 101.12 | 100 | -1993.60 | |
| 59.88 | ||||
| 2505 | 91.82 | 100 | 20490.90 | |
| 68.97 | ||||
| 3120 | 89.74 | 100 | 32011.20 | |
| 81.30 | ||||
| 3625 | 91.03 | 100 | 32516.25 | |
| 99.01 | ||||
| 4020 | 94.53 | 100 | 21989.40 | |
| 126.58 | ||||
| 4305 | 99.88 | 100 | 516.60 | |
| 175.44 | ||||
| 4480 | 107.14 | 100 | -31987.20 | |
| 285.71 | ||||
| 4545 | 116.61 | 100 | -75492.45 | |
| 769.23 |
Remember: what is supply? It is the relation between the price and the quantity that people want to sell. For an individual firm, that is: the relation between the price and the quantity the firm wants to sell.
So we ask: at a given price, how much will a (profit- maximizing) firm want to sell? The answer: enough so that the price is equal to marginal cost. In other words, the marginal cost curve is the supply curve for the individual firm.
The answer goes a bit against common sense. The firm will shut down if it cannot cover its variable costs. So long as it can cover the variable costs, it will continue to produce.
This is an application of the opportunity cost principle. Just because fixed costs are fixed, they are not opportunity costs in the short run -- so they are not relevant to the decision to shut down. Even if the company shuts down, it must pay the fixed costs anyway. But the variable costs are avoidable -- they are opportunity costs! So the firm will shut down it it cannot meet the variable (short run opportunity) costs. But as long as it can pay the variable costs and still have something to apply toward the fixed costs, it is better off continuing to produce.
Before we leave the cost curves behind, let's look at one more example. It will be a little more complicated. The real world is pretty complicated and many economists would say that this example is complicated enough to be help understand some real-world problems. We will again focus on the breakdown of cost into fixed and variable costs, in this example.
Let's start with the total cost curve. Here it is:
In Figure 4, we have the total cost on the vertical axis, with output varying from zero to 1000 units on the horizontal axis. As usual, both are measured per unit of time -- per week, perhaps. Notice how the cost first levels off, and then rises even more steeply as output increases. It is this non-linear complexity that many economists think is common in real production processes, in the short run.
As usual, we will want to look at these costs as averages per unit, and break them down by fixed and variable. As before, the average fixed cost curve is pretty simple. Here it is:
It's the average variable cost curve that will be a little more complicated. Here it is:
In our earlier examples, the AVC was just a straight line, and that's possible. In this case, we see that it starts high, first declines, and then increases as output increases still further. The idea is that, in the short run, costs can be increased by operating below the design capacity of the firm's plant and equipment, just as they can be increased by operating above capacity. That's why the variable cost is high at both ends of the scale, and lowest in the middle -- in the range of outputs for which the plant and equipment was designed.
Now let's put these together:
Now let's put the average fixed and variable costs together on the same diagram:
Now that we have them both on the same axes, we can get the average cost easily by just adding them vertically. This is sometimes called the average total cost -- meaning it is total (both fixed and variable) but average (per unit of output) at the same time. Here is the diagram with all three curves.
Notice how the AFC -- Average Fixed Cost -- forms a sort of a wedge between the Average Variable Cost -- AVC -- and the Average Cost -- AC -- or average total cost, so that the AC is tilted a bit to the right.
Complicated as this is, we still need to bring in one more curve into the picture. Of course, it is the marginal cost curve.
The next step is to add the Marginal Cost curve to the other three. Here is the diagram with all four curves:
The marginal cost curve is shown here in orange. Trace it out and see how it interacts with the average cost curves. Notice how it crosses the average cost curve at its lowest point. We have already talked about the reasons for that. Notice also that, a bit to the left, it crosses the AVC curve also at its lowest point. That can happen because the AC and AVC are not parallel -- they get closer together.
OK, its a little complicated, and not very artistic. But we are getting to the point. We can use these curves to visualize the individual firm's short-run supply curve.
Remember the two rules:
To maximize profits, at each price the firm should sell just enough so that the marginal cost is equal to the price -- that is, the quantity supplied will be on the marginal cost curve.
But the firm will shut down, and produce nothing, if it cannot cover the variable costs.
So the firm's supply curve is the segment of the marginal cost curve above the average variable cost curve. In Figure 10, below, it is shown by the stippled orange curve "S" for supply:
These curves may be a little complicated, but it's worthwhile learning how to look at them and sort them out, because they contain a lot of good information about the way a firm can maximize its profit in the short run. But what about the long run?
We have defined "the long run" as "a period long enough so that all inputs are variable." This includes, in particular, capital, plant, equipment, and other investments that represent long-term commitments. Thus, here is another way to think of "the long run:" it is the perspective of investment planning.
So let's approach it this way: Suppose you were planning to build a new plant -- perhaps to set up a whole new company -- and you know about how much output you will be producing. Then you want to build your plant so as to produce that amount at the lowest possible average cost.
To make it a little simpler we will suppose that you have to pick just one of three plant sizes: small, medium, and large. Here's the way they look in a picture:
If you produce 3000 units, the medium plant size gives the lowest cost.
If you produce 4000 units, the large plant size gives you the lowest cost.
Therefore, the long run average cost (LRAC) -- the lowest average cost for each output range -- is described by the "lower envelope curve," shown by the thick, shaded curve that follows the lowest of the three short run curves in each range.
As shown, each point on the LRAC corresponds to a point on the SRAC for the plant size or scale of operation that gives the lowest average cost for that scale of operation.
That's reasonable -- but we should recall that it is pretty much a guess, and may or may not apply in a particular case!