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Production

  Dr. Andrew McGee
Simon Fraser University
Productions funtions
• Production functions: a recipe. For given levels
  of inputs, how much output you get.
  – P.f. characterize the production technology used
    by the firm
  – The technology describes what a firm can do in
    terms of converting input into output

            Inputs       Production process   Output
                            (Technology)
Production functions
Marginal product
Marginal product
• MP is evaluated holding other inputs constant
  (fixed)
• Imagine the MPL of the 51st farm worker with
  and without a tractor:
  – Without a tractor:
     • 50L → 1000 bushels of wheat
     • 51L → 1002 bushels of wheat
  – With a tractor:
     • 51L → 1050 bushels of wheat
• Notice how different your calculation of the MPL
  of the 51st worker would be if you did not hold K
  (tractor) fixed
Diminishing Marginal Product
• Assume diminishing MP → Holding other
  inputs constant, the extra output from using
  more of an input goes down as you use more
  of the input after a given usage level of the
  input
     Workers      Output      MPL
     1            100         100 (100-0)
     2            300         200 (300-200)
     3            550         250 (550-300)
     4            600         50 (600-550)
Diminishing Marginal Product
 • As the usage of an input increases, there are
   benefits from specialization resulting in a region
   of increasing marginal product
 • After a point, it becomes inefficient to increase
   the usage of an input holding constant the
   other inputs as the marginal product declines
Ouput
per
unit
input
(MPL)

        Gains from            Diminishing   MPL
        specialization        MP
                                                  L (input)
                         L’
Diminishing Marginal Product
Total                         fLL
output
                     Q=f(L)




                            L 0          L
               L’                   L’
                          L’’
Output
per unit
input
(MPL)

                              MPL


                                L
                L’            L’’
Marginal Product & Malthus
• Thomas Malthus (1766-1834) argued that
  Britain’s population would be constrained by
  its ability to feed people. If the population got
  too large, famine and disease would check an
  underfed population
• Problem: Britain’s population today is many
  times larger than when Malthus wrote. What
  was his mistake?
• He never took ECON201/301!
Marginal Product & Malthus
                                            Malthus argued that because the quantity of
  Q                                         arable land in Britain was fixed, its potential
  (food)                                    food output was capped at Q’. This would act as
                                            an effective constraint on population growth.

           Max food                                            Q=f(L,K’) or
           production?                                         Q=g(L,K)
                                                                Q=f(L,K)




                                                               Land
Malthus failed to appreciate his own ceteris paribus   All the land in Britain
assumptions. In particular, he assumed that both (a)
the capital stock would remain fixed and (b) the
technology used to produce food would remain the
same. In the end, neither proved to be true.
Definitions & Terminology
Relationship between Average &
                   Marginal Products
                           Relationship between MPL & APL:
Output                     (1) MPL>APL → APL increasing
per unit                   (2) MPL<APL → APL decreasing
input (L)                  (3) MPL=APL → APL at its maximum value

                     MPL                     This is a purely mathematical
                                             property having nothing to do
                                             with economics. Quiz
                                             example.



                                       APL


                                               L
Example
Isoquants
• Given a production technology Q=f(K,L), an
  isoquant depicts all combinations of inputs K
  & L that yield the same level of output
                   While isoquants might remind you of indifference
  K
                   curves, note that there is absolutely no connection
                   between the two. The similarity arises because we
                   adopt the same technique for collapsing a 3-
                   dimensional function into 2-dimensions for the sake of
                   depicting it.


               Isoquant            Q=Q0

                                          L
Isoquant Map
K

        Direction of increasing quantity produced




                               Q=Q3
                             Q=Q2
                      Q=Q1
                    Q=Q0
                                L
Slope of an Isoquant
Marginal Rate of Technical Substitution
Why are isoquants negatively sloped?
Diminishing MRTS
MRTS
K                      K                       K




                       L                   L                         L
    Diminishing MRTS       Constant MRTS           Increasing MRTS
Example: Diminishing MRTS
• Imagine a bakery that employs labor (bakers but
  also security guards, accountants, etc.) and
  capital (whisks, rolling pins, industrial-sized
  mixers, ovens, etc.)
• You can replace an electric mixer with a person
  with a wooden spoon, you could even take away
  the wooden spoon and mix with your bare hands,
  but how do you replace the oven with labor?
• Similarly, you can automate all of the mixing,
  pouring into pans, and baking, but who monitors
  this automated process?
What Isoquants Tell Us about
              Technology
• The shape of an isoquant tells us both how
  easily capital is substituted for labor and vice
  versa as well as how important an input is to
  the production process:
 K                                     K
     Capital (machine) intensive
     technology                            Labor-intensive technology


                         Q=Q0
                                               Q=Q0
                                   L                                    L
Relationship between MRTS and MP
• Does diminishing MRTS follow from assumption of
  diminishing MPL and diminishing MPK? No.
• Diminishing MPL and diminishing MPK speak to what
  happens to output when you increase usage of one input
  holding the other input constant. Moving along an isoquant
  necessarily changes both inputs at the same time.
• It turns out that with an additional assumption, diminishing
  MPL and diminishing MPK will guarantee diminishing MRTS:
  if fKL>0, then diminishing MPL and diminishing MPK
  guarantee diminishing MRTS.
• If fKL<0, then whether you have diminishing MRTS will
  depend on how “rapidly” the MP of K & L diminish.
• Note that it is hard to imagine why fKL<0. It is far more
  reasonable to assume that fKL>0, but this means that the
  assumption of diminishing MP will indeed guarantee
  diminishing MRTS.
   – Important because it means we don’t need to check SOC for
     firm’s cost minimization problem
Returns to Scale in Production
• Diminishing MPL and MPK refer to what
  happens to output when you change one
  input holding the other constant
• Returns to scale refer to how output changes
  when you change all inputs by the same
  proportion (t>0)
Types of Returns to Scale (RTS)
Seeing RTS in an Isoquant Map
K


100
                                                                            Q=16
                                                    DRS
    8

                                                          Q=12
                              CRS
    4

    2                   IRS                   Q=6
                                Q=2
                                                                              L
            2      4             8                     100

    The isoquant map reveals a lot about the production technology. A production
    function can exhibit all 3 types of returns to scale: IRS, CRS, & DRS.
A conundrum
• Economists are skeptical of the existence of DRS
  in production technologies.
  – If one can combine a given level of capital and labor
    (or any combination of inputs) to produce a given
    level of output, why shouldn’t one be able to exactly
    replicate this production process with exactly the
    same amounts of the inputs and get exactly the same
    amount of output? That is, shouldn’t we always
    expect to see at least constant returns to scale in
    production?
• Fact: DRS is observed in real-world production
  data.
• Why the disconnect between theory and reality?
DRS: Myth or Reality?
• Suppose you combine 3 workers, a storefront,
  a cash register, a fry machine, and a grill and
  get 500 Happy Meals per day. What would
  prevent you from simply getting another
  storefront, hiring 3 more workers, getting a
  cash register, fry machine and grill and then
  producing 500 Happy Meals per day at this
  other location?
DRS: Resolution
• Economists’ explanation for DRS observed in
  data: there must be some unobserved input not
  increasing by the same proportion as other inputs
  – What we see is not really DRS; it only looks like it
• Most likely unobserved input?
  – Management
     • 2 McDonalds require 2 managers
• Economists generally expect CRS
  – CRS production functions have nice properties—
    namely constant marginal costs as we shall see
DRS and diminishing MP
• Diminishing MPL (or MPK) does not imply DRS.
  Indeed, there is no connection between the
  two concepts. MP is evaluated holding all
  other inputs constant, while RTS necessarily
  speaks to how output changes when all inputs
  are varied.
RTS with more than 2 inputs
Homothetic Production Functions



 K
               K/L

               MRTS is the same at all input
               combinations where the capital-labor
               ratio is the same

                          q1   All CRS production functions
                     q0        are homothetic
                 L
Ease of substitution &MRTS
“Ease of substitution” measure
 • Why do we need a units-free measure of
   substitutability and one that reflects how
   substitutability changes with the capital labor
K
   ratio?                      K                                 dK/dL=-1
        dk/dL=-5




           q0                                                                      q0
                             L                                                               L
Is it really any harder to substitute labor for capital in the graph on the left? It might
just reflect units of measure. In both cases, you can always substitute a fixed amount
of capital for a fixed amount of labor.
“Ease of substitution” measure
K                                                            MRTS changing
    MRTS=constant                                    K         Somewhere between
             MRTS=straight line: easy to                       perfectly easy to
             substitute K for L; can always                    substitute and impossible
             substitute K for L in some fixed                  to substitute K for L
             ratio
                q0
                     L                                                        q0
K                                                                              L
             MRTS undefined

                             Impossible to substitute K
                    q0       for L: K and L must always be
                             used in fixed proportions to
                             one another
                         L
Elasticity of substitution between
               inputs
Elasticity of substitution
                 (K/L)


                 ∆(K/L)
                                  (K’/L’)
        MRTS1

∆MRTS




                          MRTS2
Types of Production Functions



 K
                       What sort of input mix (K/L) will industries with
q0/a                   perfect substitutes in production use?
         -b/a          --Never use both inputs. Only use the relatively
                       cheaper input.
                       --Looking ahead to the cost minimization
                       problem firms solve, this type of production
                       technology will lead to corner solutions.
                                L
                q0/b
Types of Production Functions



                         Ratio of K to L is fixed at b/a
                         when firms solve cost
K              b/a
                         minimization problem.




                          q0


                     L
Types of Production Functions




             K




                         q0
                              L
Types of Production Functions
Finding the Elasticity of Substitution
Finding the Elasticity of Substitution

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Lecture5

  • 1. Production Dr. Andrew McGee Simon Fraser University
  • 2. Productions funtions • Production functions: a recipe. For given levels of inputs, how much output you get. – P.f. characterize the production technology used by the firm – The technology describes what a firm can do in terms of converting input into output Inputs Production process Output (Technology)
  • 5. Marginal product • MP is evaluated holding other inputs constant (fixed) • Imagine the MPL of the 51st farm worker with and without a tractor: – Without a tractor: • 50L → 1000 bushels of wheat • 51L → 1002 bushels of wheat – With a tractor: • 51L → 1050 bushels of wheat • Notice how different your calculation of the MPL of the 51st worker would be if you did not hold K (tractor) fixed
  • 6. Diminishing Marginal Product • Assume diminishing MP → Holding other inputs constant, the extra output from using more of an input goes down as you use more of the input after a given usage level of the input Workers Output MPL 1 100 100 (100-0) 2 300 200 (300-200) 3 550 250 (550-300) 4 600 50 (600-550)
  • 7. Diminishing Marginal Product • As the usage of an input increases, there are benefits from specialization resulting in a region of increasing marginal product • After a point, it becomes inefficient to increase the usage of an input holding constant the other inputs as the marginal product declines Ouput per unit input (MPL) Gains from Diminishing MPL specialization MP L (input) L’
  • 8. Diminishing Marginal Product Total fLL output Q=f(L) L 0 L L’ L’ L’’ Output per unit input (MPL) MPL L L’ L’’
  • 9. Marginal Product & Malthus • Thomas Malthus (1766-1834) argued that Britain’s population would be constrained by its ability to feed people. If the population got too large, famine and disease would check an underfed population • Problem: Britain’s population today is many times larger than when Malthus wrote. What was his mistake? • He never took ECON201/301!
  • 10. Marginal Product & Malthus Malthus argued that because the quantity of Q arable land in Britain was fixed, its potential (food) food output was capped at Q’. This would act as an effective constraint on population growth. Max food Q=f(L,K’) or production? Q=g(L,K) Q=f(L,K) Land Malthus failed to appreciate his own ceteris paribus All the land in Britain assumptions. In particular, he assumed that both (a) the capital stock would remain fixed and (b) the technology used to produce food would remain the same. In the end, neither proved to be true.
  • 12. Relationship between Average & Marginal Products Relationship between MPL & APL: Output (1) MPL>APL → APL increasing per unit (2) MPL<APL → APL decreasing input (L) (3) MPL=APL → APL at its maximum value MPL This is a purely mathematical property having nothing to do with economics. Quiz example. APL L
  • 14. Isoquants • Given a production technology Q=f(K,L), an isoquant depicts all combinations of inputs K & L that yield the same level of output While isoquants might remind you of indifference K curves, note that there is absolutely no connection between the two. The similarity arises because we adopt the same technique for collapsing a 3- dimensional function into 2-dimensions for the sake of depicting it. Isoquant Q=Q0 L
  • 15. Isoquant Map K Direction of increasing quantity produced Q=Q3 Q=Q2 Q=Q1 Q=Q0 L
  • 16. Slope of an Isoquant
  • 17. Marginal Rate of Technical Substitution
  • 18. Why are isoquants negatively sloped?
  • 20. MRTS K K K L L L Diminishing MRTS Constant MRTS Increasing MRTS
  • 21. Example: Diminishing MRTS • Imagine a bakery that employs labor (bakers but also security guards, accountants, etc.) and capital (whisks, rolling pins, industrial-sized mixers, ovens, etc.) • You can replace an electric mixer with a person with a wooden spoon, you could even take away the wooden spoon and mix with your bare hands, but how do you replace the oven with labor? • Similarly, you can automate all of the mixing, pouring into pans, and baking, but who monitors this automated process?
  • 22. What Isoquants Tell Us about Technology • The shape of an isoquant tells us both how easily capital is substituted for labor and vice versa as well as how important an input is to the production process: K K Capital (machine) intensive technology Labor-intensive technology Q=Q0 Q=Q0 L L
  • 23. Relationship between MRTS and MP • Does diminishing MRTS follow from assumption of diminishing MPL and diminishing MPK? No. • Diminishing MPL and diminishing MPK speak to what happens to output when you increase usage of one input holding the other input constant. Moving along an isoquant necessarily changes both inputs at the same time. • It turns out that with an additional assumption, diminishing MPL and diminishing MPK will guarantee diminishing MRTS: if fKL>0, then diminishing MPL and diminishing MPK guarantee diminishing MRTS. • If fKL<0, then whether you have diminishing MRTS will depend on how “rapidly” the MP of K & L diminish. • Note that it is hard to imagine why fKL<0. It is far more reasonable to assume that fKL>0, but this means that the assumption of diminishing MP will indeed guarantee diminishing MRTS. – Important because it means we don’t need to check SOC for firm’s cost minimization problem
  • 24. Returns to Scale in Production • Diminishing MPL and MPK refer to what happens to output when you change one input holding the other constant • Returns to scale refer to how output changes when you change all inputs by the same proportion (t>0)
  • 25. Types of Returns to Scale (RTS)
  • 26. Seeing RTS in an Isoquant Map K 100 Q=16 DRS 8 Q=12 CRS 4 2 IRS Q=6 Q=2 L 2 4 8 100 The isoquant map reveals a lot about the production technology. A production function can exhibit all 3 types of returns to scale: IRS, CRS, & DRS.
  • 27. A conundrum • Economists are skeptical of the existence of DRS in production technologies. – If one can combine a given level of capital and labor (or any combination of inputs) to produce a given level of output, why shouldn’t one be able to exactly replicate this production process with exactly the same amounts of the inputs and get exactly the same amount of output? That is, shouldn’t we always expect to see at least constant returns to scale in production? • Fact: DRS is observed in real-world production data. • Why the disconnect between theory and reality?
  • 28. DRS: Myth or Reality? • Suppose you combine 3 workers, a storefront, a cash register, a fry machine, and a grill and get 500 Happy Meals per day. What would prevent you from simply getting another storefront, hiring 3 more workers, getting a cash register, fry machine and grill and then producing 500 Happy Meals per day at this other location?
  • 29. DRS: Resolution • Economists’ explanation for DRS observed in data: there must be some unobserved input not increasing by the same proportion as other inputs – What we see is not really DRS; it only looks like it • Most likely unobserved input? – Management • 2 McDonalds require 2 managers • Economists generally expect CRS – CRS production functions have nice properties— namely constant marginal costs as we shall see
  • 30. DRS and diminishing MP • Diminishing MPL (or MPK) does not imply DRS. Indeed, there is no connection between the two concepts. MP is evaluated holding all other inputs constant, while RTS necessarily speaks to how output changes when all inputs are varied.
  • 31. RTS with more than 2 inputs
  • 32. Homothetic Production Functions K K/L MRTS is the same at all input combinations where the capital-labor ratio is the same q1 All CRS production functions q0 are homothetic L
  • 34. “Ease of substitution” measure • Why do we need a units-free measure of substitutability and one that reflects how substitutability changes with the capital labor K ratio? K dK/dL=-1 dk/dL=-5 q0 q0 L L Is it really any harder to substitute labor for capital in the graph on the left? It might just reflect units of measure. In both cases, you can always substitute a fixed amount of capital for a fixed amount of labor.
  • 35. “Ease of substitution” measure K MRTS changing MRTS=constant K Somewhere between MRTS=straight line: easy to perfectly easy to substitute K for L; can always substitute and impossible substitute K for L in some fixed to substitute K for L ratio q0 L q0 K L MRTS undefined Impossible to substitute K q0 for L: K and L must always be used in fixed proportions to one another L
  • 36. Elasticity of substitution between inputs
  • 37. Elasticity of substitution (K/L) ∆(K/L) (K’/L’) MRTS1 ∆MRTS MRTS2
  • 38. Types of Production Functions K What sort of input mix (K/L) will industries with q0/a perfect substitutes in production use? -b/a --Never use both inputs. Only use the relatively cheaper input. --Looking ahead to the cost minimization problem firms solve, this type of production technology will lead to corner solutions. L q0/b
  • 39. Types of Production Functions Ratio of K to L is fixed at b/a when firms solve cost K b/a minimization problem. q0 L
  • 40. Types of Production Functions K q0 L
  • 41. Types of Production Functions
  • 42. Finding the Elasticity of Substitution
  • 43. Finding the Elasticity of Substitution