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Lecture # 11a Inputs and Production Functions (conclusion) Lecturer: Martin Paredes.

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Lecture # 11a Lecture # 11a Inputs and Production Functions Inputs and Production Functions (conclusion) (conclusion) Lecturer: Martin Paredes Lecturer: Martin Paredes
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Page 1: Lecture # 11a Inputs and Production Functions (conclusion) Lecturer: Martin Paredes.

Lecture # 11aLecture # 11a

Inputs and Production Inputs and Production FunctionsFunctions

(conclusion)(conclusion)

Lecturer: Martin ParedesLecturer: Martin Paredes

Page 2: Lecture # 11a Inputs and Production Functions (conclusion) Lecturer: Martin Paredes.

2

1. Returns to Scale2. Technological Progress

Page 3: Lecture # 11a Inputs and Production Functions (conclusion) Lecturer: Martin Paredes.

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Definition: Returns to scale is the concept that tells us the percentage increase in output when all inputs are increased by a given percentage.

Returns to scale = % Output .% ALL Inputs

Page 4: Lecture # 11a Inputs and Production Functions (conclusion) Lecturer: Martin Paredes.

4

Suppose we increase ALL inputs by a factor

Suppose that, as a result, output increases by a factor .

Then:1. If > ==>Increasing returns to

scale2. If = ==>Constant returns to

scale3. If < ==>Decreasing returns to

scale.

Page 5: Lecture # 11a Inputs and Production Functions (conclusion) Lecturer: Martin Paredes.

5

Example: Returns to Scale

L

K

Q0

0 L0

K0 •

Page 6: Lecture # 11a Inputs and Production Functions (conclusion) Lecturer: Martin Paredes.

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Example: Returns to Scale

L

K

Q0

0 L0 L0

K0

K0 •

Page 7: Lecture # 11a Inputs and Production Functions (conclusion) Lecturer: Martin Paredes.

7

Example: Returns to Scale

L

K

Q0

Q0

0 L0 L0

K0

K0 •

Page 8: Lecture # 11a Inputs and Production Functions (conclusion) Lecturer: Martin Paredes.

8

Example: Returns to Scale

L

K

Q0

Q0

0 L0 L0

K0

K0 •

If > , then we have Increasing returns to scale

Page 9: Lecture # 11a Inputs and Production Functions (conclusion) Lecturer: Martin Paredes.

9

Example: Returns to Scale

L

K

Q0

Q0

0 L0 L0

K0

K0 •

If = , then we have Constant returns to scale

Page 10: Lecture # 11a Inputs and Production Functions (conclusion) Lecturer: Martin Paredes.

10

Example: Returns to Scale

L

K

Q0

Q0

0 L0 L0

K0

K0 •

If < , then we have Decreasing returns to scale

Page 11: Lecture # 11a Inputs and Production Functions (conclusion) Lecturer: Martin Paredes.

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Notes: When a production process exhibits

increasing returns to scale, there are costs advantages from large-scale operation.

Returns to scale need not be the same at different levels of production

Page 12: Lecture # 11a Inputs and Production Functions (conclusion) Lecturer: Martin Paredes.

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Note: Substantial difference between returns to

scale and marginal product: Returns to scale: All inputs increase in

same proportion Marginal product: Only one input

increases, while the others remain constant

Therefore, it is possible to have diminishing marginal returns and increasing/constant returns to scale.

Page 13: Lecture # 11a Inputs and Production Functions (conclusion) Lecturer: Martin Paredes.

13

Example: Returns to scale

Suppose a Cobb-Douglas utility function: Q1 = AL1

K1

==> Q2 = A(L1)(K1) = + AL1

K1

= +Q1

Hence, returns to scale depends on the value of + .

If + = 1 ==> Constant returns to scale (CRS)If + < 1 ==> Decreasing returns to scale (DRS)If + > 1 ==> Increasing returns to scale (IRS)

Page 14: Lecture # 11a Inputs and Production Functions (conclusion) Lecturer: Martin Paredes.

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Definition: Technological progress shifts the production function by allowing the firm to:

1. Produce more output from a given combination of inputs, or

2. Produce the same output with fewer inputs.

Page 15: Lecture # 11a Inputs and Production Functions (conclusion) Lecturer: Martin Paredes.

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Three categories:1. Neutral technological progress2. Labor-saving technological progress 3. Capital-saving technological progress

Page 16: Lecture # 11a Inputs and Production Functions (conclusion) Lecturer: Martin Paredes.

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Definition: Neutral technological progress shifts the isoquant inwards, but leaves the MRTSL,K unchanged along any ray from the origin

In other words, for any given capital-labor ratio, the MRTSL,K remains unaffected.

Page 17: Lecture # 11a Inputs and Production Functions (conclusion) Lecturer: Martin Paredes.

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K/L

Q = 100 before

Example: Neutral technological progressK

L

Page 18: Lecture # 11a Inputs and Production Functions (conclusion) Lecturer: Martin Paredes.

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K/L

Q = 100 before

Q = 100 after

Example: Neutral technological progressK

L

Page 19: Lecture # 11a Inputs and Production Functions (conclusion) Lecturer: Martin Paredes.

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K/LMRTS remains same

Q = 100 before

Q = 100 after

Example: Neutral technological progressK

L

Page 20: Lecture # 11a Inputs and Production Functions (conclusion) Lecturer: Martin Paredes.

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Definition: Labor-saving technological progress results in a decrease in the MRTSL,K along any ray from the origin

Page 21: Lecture # 11a Inputs and Production Functions (conclusion) Lecturer: Martin Paredes.

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Example: Labor Saving Technological Progress

K/L

Q = 100 before

K

L

Page 22: Lecture # 11a Inputs and Production Functions (conclusion) Lecturer: Martin Paredes.

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Example: Labor Saving Technological Progress

K/L

Q = 100 before

Q = 100 after

K

L

Page 23: Lecture # 11a Inputs and Production Functions (conclusion) Lecturer: Martin Paredes.

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Example: Labor Saving Technological Progress

K/LMRTS gets smaller

Q = 100 before

Q = 100 after

K

L

Page 24: Lecture # 11a Inputs and Production Functions (conclusion) Lecturer: Martin Paredes.

24

Definition: Capital-saving technological progress results in an increase in the MRTSL,K along any ray from the origin

Page 25: Lecture # 11a Inputs and Production Functions (conclusion) Lecturer: Martin Paredes.

25

K/L

Example: Capital-saving technological progressK

L

Q = 100 before

Page 26: Lecture # 11a Inputs and Production Functions (conclusion) Lecturer: Martin Paredes.

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K/L

Example: Capital-saving technological progressK

L

Q = 100 before

Q = 100 after

Page 27: Lecture # 11a Inputs and Production Functions (conclusion) Lecturer: Martin Paredes.

27

K/L

MRTS gets larger

Q = 100 before

Q = 100 after

Example: Capital-saving technological progressK

L

Page 28: Lecture # 11a Inputs and Production Functions (conclusion) Lecturer: Martin Paredes.

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Example: Technological Progress

Before: Q = 500 (L + 3K)

MRTSL,K = MPL = 500 = 1 MPK 15003

After: Q = 1000 (0.5L + 3K)

MRTSL,K = MPL = 500 = 1 MPK 30006

Since MRTSL,K has decreased, technological progress is labor-saving

Page 29: Lecture # 11a Inputs and Production Functions (conclusion) Lecturer: Martin Paredes.

29

1. Production function is analogous to utility function and is analyzed by many of the same tools.

2. One of the main differences is that the production function is much easier to infer/measure than the utility function. Both engineering and econometric techniques can be used to do so.

Page 30: Lecture # 11a Inputs and Production Functions (conclusion) Lecturer: Martin Paredes.

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3. Technological progress shifts the production function by allowing the firm to achieve more output from a given combination of inputs (or the same output with fewer inputs).

4. Returns to scale is a long run concept: It refers to the percentage change in output when all inputs are increased a given percentage.

5. The production function is cardinal, not ordinal


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