CostMin Manual

Purpose of the Program

This module is designed to let you learn about how firms can arrange their production processes so as to minimize the costs per unit of their products. You will be given information concerning the prices of the available resources and about the parameters of the firm’s production function. You will also be able to choose whether to minimize the firm’s costs in the long run (with three variable inputs) or in the medium run (with two variable inputs). The short run, in which there is only one variable input, offers no interesting problems in cost minimization, so the short run is not featured in this module.

The Model

This module concerns a firm that produces toy bears and whose managers want to minimize their costs of production. It assumes that the production process of the firm allows for a given amount of product to be produced using infinitely many combinations of three resources. The three resources discussed in the module are labor, materials, and capital. It also assumes that each resource in the production process faces diminishing returns when more of the given resource is used with fixed amounts of the other resources. In other words, it assumes that if, for example, you keep materials and capital constant and increase the amount of labor, production of bears will increase, but each extra unit of labor will add less and less to output. The same is true if you change one of the other inputs while keeping labor (and the third input) constant.

Isoquants

With the assumptions just described, the production process can be represented graphically by a set of “isoquants” as in Figure 1. Each isoquant is the set of all possible combinations of labor and materials assuming a fixed amount of capital that permit the production of a given level of output. In figure one the combinations for 10 and 20 units of output are shown. There are other such curves for each possible level of production. The curves slope downward because an increase in the amount of one input (e.g., labor) would increase production. If production is to remain constant it is necessary to reduce the amount of some other input (e.g., capital). Since the amount of one input increases and the amount of another one decreases, that creates a negative (downward) slope. The slopes of these isoquants get flatter and flatter as the proportion of labor to materials increases due to the assumption of diminishing returns.

Diminishing returns is involved in this way: If you start on a point at the upper left of the figure on the isoquant for Q = 10 and reduce materials output by, e.g., 10 pounds, it might take an hour of labor to make up for (keeping Q at 10) losing that much in materials. However, if you keep reducing the amount of material and adding labor, the extra labor you are adding adds less and less to output (it takes more and more labor to bring output up a given amount). That is diminishing returns to labor. At the same time the materials you remove were adding more output (as you have less in materials). That is due to diminishing returns to materials. (Strictly speaking this explanation should include a discussion of the interactions between the marginal products of the inputs, but a full discussion of that is outside the scope of this manual.)

Figure 1 Production Isoquants

Materials

The higher the isoquant, the higher the level of production. The reason can be seen by noting that you can get from one isoquant to a higher one by holding an input (e.g., labor) constant while raising the amount of the other (e.g., materials). Even with diminishing returns, raising the amount of one input while others are constant will increase production.

There are similar isoquants for combinations of capital and labor (holding materials constant) and for capital and materials (holding labor constant). Output combinations with all three inputs free to vary can be shown as 3-dimensional surfaces in a 3-D graph. However, since 3-D graphs are hard to read, it is common to use two sets of isoquants for three variable problems. One set would show combinations of labor and materials as in Figure 1. The second set would show combinations of labor and capital for fixed amounts of materials.

The Marginal Rate of Technical Substitution

The slopes of the isoquants in Figure 1 can be described by the term Marginal Rate of Technical Substitution (MRTS). The MRTS is obtained by using measures of the extra output that can be obtained from an additional amount of each individual resource. The extra output of an extra unit of labor (holding materials and capital constant) is defined as the “Marginal Product of Labor” or MPL. The extra output from an extra unit of materials (holding labor and capital constant) is defined as the “Marginal Product of Material” or MPM.

The marginal rate of technical substitution between labor and materials is then defined as:

MRTSLM = MPL/MPM

Looking at the definition it should be clear how the assumption of diminishing returns affects the MRTSLM. If the amount of labor was increased, while the amount of materials was decreased just enough to keep production constant, MPL would fall and MPM would rise. This combination of effects would make the slope of the isoquant (MRTSLM) fall, so the curve gets flatter and flatter. However, since the slope of the isoquant is negative and the marginal products are positive, strictly speaking the MRTS values are the absolute values of the slopes of the isoquants.

Isocost Lines

In order to solve the problem of cost minimization two things are needed, a description of the production process -- the isoquants discussed above -- and a description of the costs of using resources. This module assumes that firms can acquire additional amounts of all resources at fixed prices (the prices neither rise nor fall as the firms buys/hires more of them). As a result, for a fixed level of cost, the combinations of resources that the firm can get can be described (in the two dimensional case) as a straight line, an isocost line, such as the ones in Figure 2. In the three dimensional case combinations that incur the same cost would be a flat plane.

Figure 2 Isocost Lines

In Figure 2 the line TC 1 represents one level of cost (e.g., $1000) and TC 2 represents a higher level of cost (e.g., $2000). The slopes of TC1 and TC2 are the same, given the constant prices of the inputs.

Cost Minimization

The difficulty of the problem of minimizing cost depends on how many inputs the firm can control. In the very short run when the firm can control only a single input (labor in this module) there really is no “problem” just a set of results. These results can be seen for the default technology in the module in the table below. (The default technology is the one you get if you do not choose to set parameters of the production function—described later in this manual—for yourself.)

Table 1 Short Run Costs
Output / Labor / Total Cost / Average Cost / Marginal Cost
3432.05 / 20 / 737.60 / 0.21 / 0.09
6337.13 / 60 / 1057.60 / 0.17 / 0.13
8641.48 / 100 / 1377.60 / 0.16 / 0.15
10689.54 / 140 / 1697.60 / 0.16 / 0.16
12583.41 / 180 / 2017.60 / 0.16 / 0.17
14370.59 / 220 / 2337.60 / 0.16 / 0.18
16077.92 / 260 / 2657.60 / 0.17 / 0.19
17722.38 / 300 / 2977.60 / 0.17 / 0.20
19315.53 / 340 / 3297.60 / 0.17 / 0.20
20865.70 / 380 / 3617.60 / 0.17 / 0.21
22379.15 / 420 / 3937.60 / 0.18 / 0.21
23860.68 / 460 / 4257.60 / 0.18 / 0.22

When more than one input can be varied the problem is to find the combination of inputs that offers the lowest cost of producing a given output, or that offers the largest output for a given total cost. How difficult that is depends, in this module, on whether the firm controls two inputs or three (the more inputs the harder the problem, but the more effectively the firm can minimize its costs).

In the two input case, for example, the solution to the problem of cost minimization can be found by comparing labor and material costs within the firm (“inside”) and costs in outside markets (“outside”). Suppose the firm currently can hire more labor for $10 an hour, and can get materials for $20 a pound in the “outside,” labor and capital markets overall. In other words the input price ratio, the measure of outside opportunity costs, is $10/$20 = 1/2. Thus the “outside” opportunity cost of another pound of material is two hours of labor.

Suppose the current method the firm is using to produce (the combination of labor, materials, and capital) creates an MRTS of one -- one pound of materials can substitute for one hour of labor with production constant. If the firm hires another unit of labor for $10, it could use one less pound of materials -- costing $20, and still get the same output. That means the firm was not minimizing its cost. The firm could get the same production while spending $10 less, giving it a lower cost per unit.

If the “inside” and “outside” opportunity costs are different that means the firm can change its current practices and reduce its costs. If you recall the basic concept of comparative advantage, in which differences in opportunity costs mean that there can be “gains from trade”, you can see this as just another application of that concept. Where the firm’s opportunity costs differ from those of others in the market (as reflected in the relative prices of the inputs), the firm can gain by trading with others in the market.

The only circumstance in which the firm could not reduce its cost for a given level of production is when the “inside” opportunity costs match the “outside” opportunity costs, in other words, when the MRTSLM is equal to the ratio of prices for the resources (PL/PM). If a firm, or you, can find the combination of inputs that achieves that equality, there are no more potential gains from trade, and the cost minimization problem has been solved.

The logic of the three input case is the same. However, if the firm controls three inputs it must compare the inside and outside costs of inputs in more ways—labor versus materials, labor versus capital, and capital versus materials. (One of these is redundant-- if you find the best proportion of labor to materials and labor to capital you already have the best proportion of capital to materials.)

Figure 3 Cost Minimization with 2 Variable Inputs

Materials

In Figure 3, Point B is a combination of inputs that allows the firm to produce 10 units of output at a cost of TC1. However, at that combination the firms “inside” opportunity costs, represented by the slope of the isoquant for 10 units, does not equal the “outside” opportunity costs, represented by the slope of TC1. The firm can produce more, up to 20 units, by moving to Point A -- where the tangency between TC1 and the isoquant for 20 units indicates that the “inside” and “outside” opportunity costs are the same.

A firm that has three variable inputs is looking for the combination that matches “inside” and “outside” opportunity costs in more respects. In the previous example the best point was one where the ratio between labor and materials prices matched the ratio between the marginal products of those two inputs. If the firm also controlled how much capital it used, it would want this equality to hold, but it would also want the ratio between the price of labor and the price of capital to equal the ratio of the marginal products of those two inputs (MRTSLK).

In Figure 4a, the firm is at the tangency for labor and materials, just as in Point A in Figure 3. However it is not at the similar tangency A’ in Figure 4b, so it is not minimizing all the costs under its control. Instead, since it is not minimizing its costs, the firm is a point like Point B, producing less at the current cost than the amount it would get at A’, and it does not have the lowest possible unit cost of production. The choice of Point B in the graph has the marginal product of capital too low compared to the marginal product of labor – too much capital is being used relative to labor. This is arbitrary; it is equally true that Point C in the graph shows a “wrong” combination, too little capital and too much labor. Only at A’ is there no way to reduce the cost of producing the given output by varying the proportions of capital and labor.

Figure 4 Cost Minimization with 3 Variable Inputs

Materials Capital

C

Labor Labor

Cost Curves

In the long run a firm’s marginal and average costs can be expressed in terms of long run cost curves. Because this module features a firm that has constant returns to scale its lowest possible average and marginal costs do not change as the level of production change. In other words the firm has constant (unit) costs. This is shown by the horizontal LRAC, LRMC line in Figure 5. A firm that controls all of its costs (in other words one that has no fixed costs because it has no fixed inputs) could produce any amount at a cost per unit shown by that line.

In the short run the firm has short run average and marginal cost curves whose positions are determined by the amount of the fixed input that they have. In this module choosing to control only two inputs puts you into this short run, with capital as the fixed input that you cannot change. For one particular value of capital the firm would have as potential least average and marginal cost levels those indicated by the SRAC and SRMC curves. A smaller value for capital would create similar curves, but they would be more to the left. More capital would create similar curves to the right.

It is vital to realize that input choices that do not minimize either long or short run cost would create costs that are not on any of these cost curves. In Figure 5 a firm would be able to produce output Q1 at an average cost of A if it could minimize long run costs. It could produce at B if it could only minimize short run cost. If it used a combination that did neither it would create a cost/output point such as Point C.

Figure 5 Short and Long Run Costs

$

Quantity

Running the Module

When you begin this module you need to make some choices that will set up the cost- minimizing problem for you. First, you need to decide whether you will work with two variable inputs or three variable inputs. Once you have decided on that you have to decide whether to have the module use the default values for the parameters or set the values of the parameters (a through d) of the production function yourself. If you set the parameters yourself there are limits to the values these parameters can have. The values of a, b, and c have to lie strictly between zero and one (greater than zero and less than one) and they must add up (a + b + c) to one. The value of d must lie strictly between 0.1 and 1.

Once you have decided on the parameters and on whether you wish to solve the two or three variable input problem, you get to decide on how much of each (variable) input you will have the firm hire. Once you have entered values for either two or three inputs, depending on your choice of problems, you can get the numerical results. Note: If you chose the two input problem the amount of capital your firm uses will be automatically set at a given value of about 4,600 hours (expressed as 4.6 since everything is measured in thousands). If you enter 1 as your labor input that would be 1,000 labor hours, and entering 1 as your materials input would be 1,000 pounds.

You will get the marginal products of all three inputs, one or two MRTS values, total costs, unit costs, and marginal cost by two or three different measures (MC of increasing output if you hire more labor, or if you buy more materials, or -- in the three input case -- if you lease more capital). You also get reminded of the resource prices.

When you click on “graph” you will see the isocost-isoquant graph, in the three input case you will see the capital-labor isoquants (given the amount of materials you chose). You can then select Materials Graph on the toolbar and see the labor-materials isoquants (for the given amount of capital). In the two input case you will only have the labor-material isoquant to look at. If you click on “Continue” after seeing the isoquants you can see a graph showing how the optimal (horizontal) long run AC curve compares with the AC curve generated by one of your choices --in effect a short run AC curve in which capital is fixed and the other inputs are adjusted in optimal ways.

At this point you can go back and find a new, better, combination. You can determine which way to change the input combination by comparing the price ratio for the inputs (or the price ratios in the three input case) with the MRTS (or with the two of them in the three input case).

Additional Definitions

Total cost = cost of capital plus the cost of labor plus the cost of materials

= (PK * quantity of capital)+(PL * amount of labor)+ (PM *amount of materials)

Unit (average) cost is total cost divided by the number of units produced,

AC = Total Cost/Q

Marginal cost is the EXTRA cost paid out to cover the production of the last unit produced.