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2.The Theory of the Firm
What to produce?
How to produce?
How much to produce?
To whom to produce?
Varian, chap 18
Frank, chap 9
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2.1.Technology Sets
Q = f(x) is the
production
function.
L LInput Level
Output Level
Q
Q
Q = f(L) is the maximal outputlevel obtainable from x inputunits.
One input, one output
Q = f(L) is an output level that is
feasible from x input units.
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2.1. Production Function
Production Function: maximum quantity of output that
can be produced for given quantities of the inputs
Example: Q = f(K,L) = 2KL
5
1 2 3 4 5
1 2 4 6 8 10
2 4 8 12 16 20
3 6 12 18 24 30
4 8 16 24 32 40
5 10 20 30 40 50
K
L
4
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2.1.The Long-Run and the Short-
Runs Fixed and Variable inputs
A short-run is a circumstance in which a firm is restricted
in some way in its choice ofat least one input level. There are many possible short-runs
The long-run is the circumstance in which a firm is
unrestricted in its choice ofall input levels.
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2.1. The Long-Run and the Short-
Runs Examples of restrictions that place a firm into a short-
run:
temporarily being unable to install, or remove,
machinery
being required by law to meet affirmative action
quotas
having to meet domestic content regulations.
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2.1. Production in the Short-Run
Example : Q = f(K,L) = 2KL
where K = K0 = 2 K = K0 =1
Q=2KL=4L Q=2KL=2LQ
Q
LL1 2
4
8
1 2
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2.1. Production in the Short-Run
Total Product Curve:
Q = f(L)
Average Product
Curve:
APL = Q/L
4 6 8
Q
L
6 L
Q/L
APL
Q(4)
Q(4)/4
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2.1. Production in the Short-Run
Marginal Product Curve:
MPL = (Q/(L
L(person-hr/week)
L(person-hr/week)
Q
dQ/dL 8
8
4
4
Increasing
marginal
returns
Decreasing
marginal
returns
6
MPL
For L=6, MPL=APL
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2.1. Average and Marginal
Product CurvesIf (Q/(L>Q/L, Q/L is increasingIf (Q/(L
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2.1. Production in the Short-Run
Effect of technological progress
L
Q
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2.1.Long-run: Technologies with
Multiple Variable Inputs What does a technology look like when there is more
than one input?
The two input case: Input levels are x1 and x2. Output
level is y.
Suppose the production function is
.),( 3/13/1 LKLKfQ !!
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2.1. Long-run: Technologies with
Multiple Inputs
Output, Q
L
K(8,1)
(8,8)
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2.1. Long-run: Technologies with
Multiple Inputs
Output, Q
L
K
Q |
Q |
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2.1. Long-run: Isoquants with Two
Variable Inputs
Output, Q
L
K
Q |
Q |
Q |
Q |
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2.1.Technologies with Multiple
Inputs: isoquant map
x1y
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2.1.Technologies with Multiple
Inputs
L1
Q
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Q=f(K,L) Isoquant : (Q=0
Ex: Q=2K0,7L0,3 Q=5 = > K=2,51/0,7.L0,3/0,7
K
L
(K
(L
Marginal Rate of Technical Substitution, MRTS =-(K/(L
2.1. Production in the Long-Run:
example
Q=5
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2.1. Marginal Product and MRTS
Q=F(K,L)
when L changes, by how much should K vary so that Qdoes not change, ie, dQ=0?
dQ = 0 = (HF/HK).dK + (HF/HL).dL
-dK/dL = MRTS = MPL/MPK
Law of diminishing returns: HMPK/HK
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Monotonicity: More ofany input generates
more output.
Q
L
Q
L
monotonicnot
monotonic
2.1. Production Function: well-
behaved technologies
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K
L
'')1(','')1(' KttKLttL
Q|
2.1. Production Function: well-
behaved technologies
L L
K
K
Convexity
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K
L
Convexity implies that the MRTS
decreases as L increases.
2.1. Production Function: well-
behaved technologies
K
K
L L
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K
L
Q|Q|
Q|
higher output
2.1. Production Function: well-
behaved technologies
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K
L
min{L,2K} = 14
4 8 14
24
7
min{L,2K} = 8min{L,2K} = 4
L = 2K
}2,min{ KLQ !
2.1. Production Function: ParticularCases
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9
3
18
6
24
8
L
K L+ 3K= 18
L+ 3K = 36L + 3K = 48
All are linear and parallel
y x x!
1 2
3
2.1. Production Function: ParticularCases
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Cobb-Douglas Production Function
2.1. Production Function: ParticularCases
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The Long-Run and the Short-Runs
x2
x1
y
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The Long-Run and the Short-Runs
x1
y
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The Long-Run and the Short-Runs
x1
y
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The Long-Run and the Short-Runs
x1
y
Four short-run production functions.
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2.1. Returns to Scale
Returns to scale (or (dis)economies of scale) : are only
defined in the long-run, when the quantity ofany input
can vary.
This is in contrast to the case ofmarginal returns
(increasing or decreasing) which measure the change
in output when one input varies and the other (s) is
(are) kept constant.
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2.1. Returns to Scale
F(tK,tL) = t F(K,L) Constant returns to scale
t>1 (CRS)
F(tK,tL) = ta F(K,L) Increasing returns to scale
t >1, a>1 or economies of scale
Ex: F(K,L)= AKcLd
F(tK,tL)=A (tcKc)(tdLd)=tc+d(AKcLd)
=> if c+d>( increasing (decreasing) returns
F(tK,tL) = ta F(K,L) Decreasing returns to scale
t>1, a
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Can a technology exhibit increasing returns-to-scale
even if all of its marginal products are diminishing?
A: Yes.
E.g. QK2/3L2/3
Q(tK,tL)=t2/3L2/3t2/3K2/3 =t4/3Q(K,L): increasing returns to
scale
Yet, MPL=2/3K2/3
.L-1/3
HMPL/HL=-1/3.2/3.K2/3.L-4/3