McPeak
Lecture 7
PPA 723
Firms and Production
Firms:
Three main kinds.
1)
Sole proprietorships
2)
Partnerships
3)
Corporations (Limited Liability)
Objective of the firm: make decisions so as to maximize profit.
Profit is defined as revenue, what
it earns from selling the good, minus costs, what it costs to produce the good.

or, in slightly different form

Necessary
vs. sufficient conditions.
A necessary condition is in the
nature of a prerequisite.
Statement A is true only if another statement
B is true, then “A only if B” or “If A, then B”.
B is a necessary condition for
establishing the truth of A.
If a person is a father (A), then
they are a male (B).
Being male (B) is a necessary
condition for being a father (A).
If Felix is a cat (A), then Felix
hates baths (B).
Felix is a cat only if he hates
baths.
If A (cat), then B (hates baths).
Can we turn it around: If B (hates baths), then A (cat)?
If Felix hates baths, can we assume
Felix is a cat?
No, Felix might be a four year old
boy for example.
Felix hating baths is a necessary
condition for Felix to be a cat, but it is not sufficient. It is one characteristic of being a cat, but
this characteristic is shared by non-cats as well.
Consider the situation where A is
true if B is true, but A can be true when B is not true. B is a sufficient condition for A, but B is
not a necessary condition for A.
A if B.
If B, then A.
A is “one can get to Chicago from
Syracuse”,
B is “There is a plane that flies to
Chicago from Syracuse”,
then the truth of B suffices for the
establishment of the truth of A, but is not a necessary condition for A to be
true. B is a sufficient condition for A
but not a necessary one.
Consider where A and B imply each
other.
A is “it is the month of
February”. B is “there are less than 30
days in the month”.
A is a necessary and sufficient
condition for B, and vice versa.
A if and only if B.
There is no way for A to be true
without B being true. There is no way
for B to be true without A also being true.
If A is false, there is no way B is
true. If B is false there is no way A is
true.
It is a definition.
Back to economics.
A:
The point (x1, x2) is the optimal bundle.
B: The point (x1, x2) is on the
budget line
Necessary: If A, then B.
Sufficient: If B, then A.
B is a necessary but not sufficient condition for A.
Yes it has to be on the budget line, but other conditions
need to be met as well. A lot of
non-optimal bundle points are on the budget line as well. We need to get a condition that takes care of
these.
The reverse statement is a sufficient but not necessary condition: The point (x1,x2) is the optimal bundle,
therefore it lies on the budget line (but there are other ways of being on the
budget line besides being at the optimal bundle)
The point (x1,x2) is the point where
MRS=MRT implies the point (x1,x2) the optimal bundle for an interior solution.
Optimal bundle for an interior
solution iff MRS=MRT
MRS=MRT implies optimal bundle, and
optimal bundle implies MRS=MRT.
Technologically efficient production
is a necessary but not sufficient condition for profit maximization.
Profit maximization is a sufficient but
not necessary condition to know we are using technologically efficient production.
Profit max implies we are
technologically efficient, but being technologically efficient is not enough to
know we are producing at a profit maximizing level.
Technologically efficient
production: the firm can not produce
more output given the amount of inputs it is using, and the firm cannot produce
the amount of output it is producing by using fewer inputs.
Show sets.
Production function.
A firm gathers together inputs, or
factors of production.
The firm then applies a technology, or
production process to these inputs.
The result is an output – can be a
good or a service.
No costs of input are involved yet.
No selling of the product is going
on yet.
Just (boring old) production!!!!
Define a production function
Q=f(K,L,E,M)
Q is output of the good (in many
studies, people use Y rather than Q – means the same thing)
K is capital
L is labor
E is energy
M is materials
f (.) defines the relationship
between the quantities of inputs used and the maximum quantity of output that
can be produced given current knowledge about technology and organization.
What is the nature of the f(.)? It can take on lots of different forms.
An important part of econometric
work is to estimate the nature of the production function.
We can treat inputs in the
production function as fixed or variable inputs.
In the short run, factors of
production that can not easily be varied are viewed as fixed inputs.
A factor for which it is relatively
easy to adjust the quantity quickly is a variable input.
The long run is the time span
required to adjust all inputs. There is
no precise definition of time period applied to these terms. It is a relative relationship.
All inputs are variable in the long
run (there are no fixed inputs in the long run).
An example:
A commonly made assumption is that
labor is the most variable of inputs, so we define it to be the variable input,
hold the others constant in the analysis.
(No law here, but convention)
K “bar”, E “bar”, M “bar” mean fixed
in short run.
Holding fixed inputs constant, in
the book Perloff defines a labor – output table.
[fill in units and total first, then
revisit marginal and average]
|
Labor
units |
Total
Output |
Marginal
product |
Average
product |
|
0 |
0 |
NA |
NA |
|
1 |
5 |
5 |
5 |
|
2 |
18 |
13 |
9 |
|
3 |
36 |
18 |
12 |
|
4 |
56 |
20 |
14 |
|
5 |
75 |
19 |
15 |
|
6 |
90 |
15 |
15 |
|
7 |
98 |
8 |
14 |
|
8 |
104 |
6 |
13 |
|
9 |
108 |
4 |
12 |
|
… |
|
|
|
Marginal product of Labor: the change in total output resulting from the
use of an additional unit of labor, all else constant.

Note that this contrasts with the average
product of labor: the ratio of the
output to the number of workers used to produce this labor.

Note further that there is also a
marginal product of capital, of materials, of energy… We are focusing on labor, but other inputs
also have marginal and average measures as we have just defined for labor.
[fill these in on chart]

We can draw a graph of this
information.
Why these shapes?
At low levels of labor, workers help
each other do tasks that are hard for one person to do, or conversely, they
specialize. This gives us initially a
convex function.
Then, after we reach some critical
level of labor,
They have to wait for each other to
finish at a machine, or they get in each other’s way… then we get a concave
function.
If MP curve is above AP curve, then
AP is upward sloping. If MP below AP,
then AP downward sloping.
Think of heights for the intuition.
Geometrically, if you draw a ray
from the origin to any point on the Total Product curve, you find the average
product at that point. If you identify
the slope of the total product curve at this point, you find the marginal
product.
If AP steeper than MP, then AP >
MP. If AP flatter than MP, then AP <
MP. At some point, AP=MP.
The law of diminishing marginal
returns. If a firm keeps increasing an
input, holding all other inputs and technology constant, the corresponding
increases in output will become smaller eventually.
Not diminishing returns, but
diminishing marginal returns.
Long run production.
That was a discussion of variation
in output due to different levels of labor holding other things (K, E, M)
constant.
Now, we are in the long run so all
inputs are variable.
Note that the short run implies that
at least one input is being held fixed.
Do not come away from this with the impression that the difference
between the short run and the long run is one versus two inputs. That is not right. In the short run, at least one input and
potentially more than one input is held constant while one or more other inputs
are allowed to vary. In the long run all
inputs are allowed to vary.
However, to keep things simple, we
are going to assume there are only two inputs used in production of our
good.
We will call them capital and
labor. More than two are possible
(likely) in reality.
We focus on two because it is easier
to draw and the logic carries through to higher dimensions.
We can combine different quantities
of these inputs in a variety of ways to produce a given level of output. Define a curve that traces out the minimum
combinations of inputs required to produce a given level of output.
This is an isoquant. Again, if you want to think of this as a
contour line, it is a contour line on the production function in 3-D space.
Properties:
1)
The farther an isoquant is from the
origin, the greater is the level of output. (remember more is better than less)
2)
Isoquants do not cross, as that
would imply inefficiency. (remember transitivity)
3)
Isoquants slope downward, as they
are efficient levels of production (remember there are tradeoffs).
[Draw an isoquant]
What will influence the shape of the
isoquant?
How substitutable are inputs?
Production function of processed
pork.
Processed Pork = pigs bought in
Straight line graph
Production function of peanut butter
sandwiches.
Peanut butter sandwiches = minimum
(dollops of peanut butter, (slices of bread / 2))
I have 10 dollops of peanut butter,
and 4 slices of bread, I can only make 2 sandwiches.
Leontief graph
Most lie intermediary to these two
extreme cases.
Show contrast on single graph, note
nature of subs, connect at upper and lower extreme.
The slope of the isoquant is called
the marginal rate of technical substitution.
This tells us the trade off between
inputs in production. It is measured as
the number of units of one input that have to be given up while increasing the
other input to continue to produce a given level of output.
The MRTS, like the MRS, is a
negative number since it is implicitly a trade-off. Here, we define it for the capital to labor
MRTS.

Unless goods are perfect substitutes
(MRTS=-1 for example) or perfect complements (MRTS=-∞/ undefined, or 0),
the MRTS varies as different points are considered on the isoquant.
Remember we are on an isoquant. The quantity of output stays the same. Therefore, we know that if we change labor
and change capital on a given isoquant, the total output should not change.
Recall that
,
and a similar expression exists for the marginal product of labor.
So if we know the change in total
product is zero by definition, and we know the definition of the marginal
product is what we just saw, we can add zero plus zero to find the following.

Show math, note connection to
calculus, and answer zero minus zero question if it comes up. Also note connection back to MRS and the
Marginal Utility equations developed earlier.
While not overwhelming exciting,
this allows us to gain the insight that the marginal rate of technical
substitution is equal to the negative of the ratio of the marginal products
(important: note the numerator – denominator relationship).

From an intuitive point of view, the movement
along an isoquant is related to marginal changes.
I am getting this level of output
using a specific mix of inputs, now I want to move over there to another mix of
inputs holding output constant.
That is a marginal change.
Returns to scale.
Up until now, we have been
considering adjustments to our input bundles, holding output constant. That is how we have defined an isoquant. Or we have been changing one input at a time,
holding others constant. That is how we
thought about a production function.
Now, however, we want to turn to the
question of how changes in the total input bundle are related to changes in
output.
What can we learn by comparing
different isoquants rather than looking at movement along a given isoquant?
We are going to look at a specific
type of change to the input bundle – blowups.
Equal percentage change applied to all inputs.
I use labor and capital to produce
my good. Let’s say we can continue to
ignore other inputs like materials and energy for production of our good.
What are the implications of
different production functions for changing input levels?
Say I use 2 units of labor and 3
units of capital to produce 6 problem sets.
In this case, assume the production function is defined by capital times
labor. If I double both units (4 units
of labor and 6 units of capital) I get 24 units of problem sets.
2*3=6
new output=
(2*2)*(3*2)=4*(2*3)=4*6=24
Doubling inputs gives a four-fold
increase in output.
(24/6)=4
Increasing Returns to scale. Doubling inputs leads to a more than double
increase in outputs.
f(2*K,2*L) > 2*f(K,L)
Say instead that the production
function is capital plus labor (perfect substitutes in production).
2+3=5
new output=(2*2)+(2*3)=2*(2+3)=10
Doubling inputs gives a doubling of
output.
(10/5)=2
Constant returns to scale. Case two (additive production function). Doubling inputs leads to a doubling of
output.
f(2*K,2*L) = 2*f(K,L)
Finally, assume we have a production
function that defines output as the natural log of capital times labor.
ln(2*3)=1.79
New output =
ln((2*2)*(2*3))=ln(4*6)=3.18
Doubling inputs increases output by
78%
(3.18/1.79)=1.78
Decreasing returns to scale. Doubling inputs leads to a less than double
increase in output.
f(2*K,2*L) < 2*f(K,L)
Technical note:
Cobb-Douglas production function is
useful, as it embeds these three cases.

If
>1,
IRS.
If
=1,
CRS.
If
<1,
DRS.
While this defines the relationship
between scale and the production function as either one or the other, it is
important to note that there can be variation over the scale of production in
the returns to scale.
In other words, returns to scale can
depend on where you are in the production function.
A common pattern is IRS over low
levels of input, CRS over moderate levels, and DRS with high levels of input.
If we think of isoquants as contour
lines, they are close together near the origin, and spread further apart as we
move away from the origin.
Show graph from book that
illustrates IRS over low ranges, CRS mid range, and DRS higher range.
Innovations.
Technological progress is one of the
main driving factors of economic growth.
Different types:
Neutral technological progress. All inputs are equally affected. Allows same input bundle to be used, but
generates more output.
Nonneutral technological progress. The innovation affects inputs unequally. This alters the proportions of the input
bundles when generating more output.
Show progress
on a single input production function,
show on an
isoquant neutral technological progress.