Lecture 02-2005 (1)

Embed Size (px)

Citation preview

  • 8/2/2019 Lecture 02-2005 (1)

    1/40

    Definition and Propertiesof the Production Function

    Lecture II

  • 8/2/2019 Lecture 02-2005 (1)

    2/40

    Overview of the ProductionFunction

    The production function (and indeed allrepresentations of technology) is a purely

    technical relationship that is void of economiccontent. Since economists are usuallyinterested in studying economic phenomena,the technical aspects of production are

    interesting to economists only insofar as theyimpinge upon the behavior of economicagents. (Chambers p. 7).

  • 8/2/2019 Lecture 02-2005 (1)

    3/40

    Because the economist has no inherentinterest in the production function, if it ispossible to portray and to predict economic

    behavior accurately without directexamination of the production function, somuch the better. This principle, which setsthe tone for much of the following discussion,

    underlies the intense interest that recentdevelopments in duality have aroused.(Chambers p. 7).

  • 8/2/2019 Lecture 02-2005 (1)

    4/40

    A Brief Brush with Duality

    The point of these two statements is thateconomists are not engineers and have no

    insights into why technologies take on anyparticular shape.

    We are only interested in those propertiesthat make the production function useful in

    economic analysis, or those properties thatmake the system solvable.

  • 8/2/2019 Lecture 02-2005 (1)

    5/40

    One approach would be to estimate aproduction function, say a Cobb-Douglas

    production function in two relevant inputs:

    1 2 y x x

  • 8/2/2019 Lecture 02-2005 (1)

    6/40

    Given this production function, we couldderive a cost function by minimizing the

    cost of the two inputs subject to somelevel of production:

    1 2

    1 1 2 2

    ,

    1 2

    min

    . .

    x x

    w x w x

    s t y x x

  • 8/2/2019 Lecture 02-2005 (1)

    7/40

  • 8/2/2019 Lecture 02-2005 (1)

    8/40

    1 1 2 21 2

    2 1 1

    2

    L

    x w x wx x

    L w x w

    x

    1*2 1

    2 2 2 1 21 20 , ,

    w wL

    y x x x w w y yw w

  • 8/2/2019 Lecture 02-2005 (1)

    9/40

    1

    * 21 1 2

    1

    , ,w

    x w w y yw

    1 1

    2 11 2 1 2

    1 2

    12 1

    1 2

    , ,w w

    C w w y w y w yw w

    w wy

    w w

  • 8/2/2019 Lecture 02-2005 (1)

    10/40

    Thus, in the end, we are left with a cost functionthat relates input prices and output levels to thecost of production based on the economic

    assumption of optimizing behavior. Following Chambers critique, recent trends in

    economics skip the first stage of this analysis byassuming that producers know the general shapeof the production function and select inputs

    optimally. Thus, economists only need toestimate the economic behavior in the costfunction.

  • 8/2/2019 Lecture 02-2005 (1)

    11/40

    Following this approach, economists onlyneed to know things about the production

    function that affect the feasibility andnature of this optimizing behavior.

    In addition, production economics istypically linked to Sheppards Lemma that

    guarantees that we can recover theoptimal input demand curves from thisoptimizing behavior.

  • 8/2/2019 Lecture 02-2005 (1)

    12/40

    Production Function Defined

    Following our previous discussion, wethen define a production function as a

    mathematical mapping function:

    : n m f R R

  • 8/2/2019 Lecture 02-2005 (1)

    13/40

    However, we will now write it in implicitfunctional form

    This notation is sometimes referred to as anetputnotation where we do notdifferentiate inputs or outputs.

    0Y z

  • 8/2/2019 Lecture 02-2005 (1)

    14/40

    Following the mapping notation, we typicallyexclude the possibility of negative outputs orinputs, but this is simply a convention. Inaddition, we typically exclude inputs that are noteconomically scarce such as sunlight.

    Finally, I like to refer to the production function asan envelopeimplying that the production functioncharacterizes the maximum amount of output thatcan be obtained from any combination of inputs.

    , 0Y y x

  • 8/2/2019 Lecture 02-2005 (1)

    15/40

    Properties of the ProductionFunction

    Monotonicity and Strict Monotonicity:

    If , then (monotonicity) x x f x f x

    If then (strict monotonicity) x x f x f x

  • 8/2/2019 Lecture 02-2005 (1)

    16/40

    Quasi-Concavity and Concavity

    : is a convex set (qausi-concave)V y x f x y

    0 * 0 *1 1 for any 0 1(concave)

    f x x f x f x

  • 8/2/2019 Lecture 02-2005 (1)

    17/40

    Weakly essential and strictly essentialinputs

    0 0, where 0 is the null vector (weakly essential)n nf

    1 1 1, ,0, , 0 for all (strict esstential)i i n i f x x x x x

  • 8/2/2019 Lecture 02-2005 (1)

    18/40

    The set V(y) is closed and nonempty for all y> 0.

    f(x) is finite, nonnegative, real valued, andsingle valued for all nonnegative and finite x.

    Continuity

    f(x) is everywhere continuous; and

    f(x) is everywhere twice-continuouslydifferentiable.

  • 8/2/2019 Lecture 02-2005 (1)

    19/40

    Properties (1a) and (1b) require theproduction function to be non-decreasing ininputs, or that the marginal products be

    nonnegative. In essence, these assumptions rule out stage III

    of the production process, or imply some kind ofassumption of free-disposal.

    One traditional assumption in this regard is thatsince it is irrational to operate in stage III, noproducer will choose to operate there. Thus, if wetake a dual approach (as developed above) stageIII is irrelevant.

  • 8/2/2019 Lecture 02-2005 (1)

    20/40

    Properties (2a) and (2b) revolve aroundthe notion ofisoquantsor as

    redeveloped here input requirementsets. The input requirement setis defined as

    that set of inputs required to produce at

    least a given level of outputs, V(y). Othernotation used to note the same conceptare the level set.

  • 8/2/2019 Lecture 02-2005 (1)

    21/40

    Strictly speaking, assumption (2a) impliesthat we observe a diminishing rate oftechnical substitution, or that the isoquantsare negatively sloping and convex withrespect to the origin.

  • 8/2/2019 Lecture 02-2005 (1)

    22/40

    1x

    2x

    V y

  • 8/2/2019 Lecture 02-2005 (1)

    23/40

    Assumption (2b) is both a strongerversion of assumption (2a) and an

    extension. For example, if we chooseboth points to be on the same inputrequirement set, then the graphical

    depiction is simply

  • 8/2/2019 Lecture 02-2005 (1)

    24/40

    1x

    2x

    V y

    0 0 0 01 1 f x x f x f x

  • 8/2/2019 Lecture 02-2005 (1)

    25/40

    If we assume that the inputs are on two differentinput requirement sets, then

    Clearly, letting approach zero yields f(x)

    approaches f(x*

    ), however, because of theinequality, the left-hand side is less than the righthand side. Therefore, the marginal productivityisnon-increasing and, given a strict inequality, isdecreasing.

    0 * 0 * *

    *

    0 * 0 * *

    1

    1

    f x x f x f x f x

    f x f x x x x f x

    x

  • 8/2/2019 Lecture 02-2005 (1)

    26/40

    As noted by Chambers, this is an exampleof the law of diminishing marginalproductivitythat is actually assumed.

    Chambers offers a similar proof on page12, learn it.

  • 8/2/2019 Lecture 02-2005 (1)

    27/40

    The notion of weakly and strictly essentialinputs is apparent. The assumption of weakly essential inputs says

    that you cannot produce something out ofnothing. Maybe a better way to put this is that ifyou can produce something without using anyscarce resources, there is not an economicproblem.

    The assumption of strictly essential inputs is thatin order to produce a positive quantity of outputs,you must use a positive quantity of all resources.

  • 8/2/2019 Lecture 02-2005 (1)

    28/40

    Different production functions havedifferent assumptions on essential inputs.It is clear that the Cobb-Douglas form is anexample of strictly essential resources.

  • 8/2/2019 Lecture 02-2005 (1)

    29/40

    The remaining assumptions are fairlytechnical assumptions for analysis.

    First, we assume that the inputrequirement setis closed and bounded.This implies that functional values forthe input requirement setexist for all

    output levels (this is similar to thelexicographic preference structure fromdemand theory).

  • 8/2/2019 Lecture 02-2005 (1)

    30/40

    Also, it is important that the productionfunction be finite (bounded) and real-

    valued (no imaginary solutions). Thenotion that the production function is asingle valued map simply implies that

    any combination of inputs implies oneand only one level of output.

  • 8/2/2019 Lecture 02-2005 (1)

    31/40

    Law of Variable Proportions

    The assumption of continuous functionlevels, and first and second derivatives

    allows for a statement of the law ofvariable proportions.

    The law of variable proportionsis

    essentially restatement of the law ofdiminishing marginal returns.

  • 8/2/2019 Lecture 02-2005 (1)

    32/40

    The law of variable proportionsstates thatif one input is successively increase at aconstant rate with all other inputs heldconstant, the resulting additional productwill first increase and then decrease.

    This discussion actually follows our

    discussion of the factor elasticity from lastlecture

  • 8/2/2019 Lecture 02-2005 (1)

    33/40

    %

    %

    dy

    y dy x MPPyE

    dx x dx y APP

    x

    d TPP d x APP d APP MPP APP x

    dx dx d x

  • 8/2/2019 Lecture 02-2005 (1)

    34/40

    Working the last expression backward, wederive

    1d APP MPP APPdx x

    1ii i i i

    AP f y

    x x x x

  • 8/2/2019 Lecture 02-2005 (1)

    35/40

    Elasticity of Scale

    The law of variable proportionswasrelated to how output changed as you

    increased one input. Next, we want toconsider how output changes as youincrease all inputs.

  • 8/2/2019 Lecture 02-2005 (1)

    36/40

    In economic jargon, this is referred toas the elasticity of scaleand is defined

    as

    1

    ln

    ln

    f x

  • 8/2/2019 Lecture 02-2005 (1)

    37/40

    1x

    2x

    1x

    2x

  • 8/2/2019 Lecture 02-2005 (1)

    38/40

    The elasticity of scale takes on threeimportant values:

    If the elasticity of scale is equal to 1, then theproduction surface can be characterized byconstant returns to scale. Doubling allinputsdoubles the output.

    If the elasticity of scale is greater than 1, then

    the production surface can be characterized byincreasing returns to scale. Doubling allinputsmore than doubles the output.

  • 8/2/2019 Lecture 02-2005 (1)

    39/40

    Finally, if the elasticity of scale is less than 1,then the production surface can becharacterized by decreasing returns to scale.

    Doubling allinputs does not double the output. Note the equivalence of this concept to the

    definition of homogeneity of degree k:

    k f x f x

  • 8/2/2019 Lecture 02-2005 (1)

    40/40

    For computational purposes

    1 11

    ln

    ln

    n n

    i i

    i ii

    f x f x

    x y