Methods of Economic Nalysis II

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    EC115 - Methods of Economic AnalysisLecture 2

    Functions with more than one variable

    Renshaw - Chapter 14 & Chapter 17

    University of Essex - Department of Economics

    Week 17

    Domenico Tabasso (Universityof Essex - Department of Economics)

    Lecture 2 Week 17 1 / 38

    http://find/
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    Topics for this week

    Definition of a function with more than one variable

    Graphs of functions with two variables: level curves

    Linear functionsLeontief functions

    The Cobb-Douglas function

    Homogeneous functions and and returns to scale

    Domenico Tabasso (Universityof Essex - Department of Economics)

    Lecture 2 Week 17 2 / 38

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    Definition

    A function of several variables is a relation between

    some independent variables x1, x2, x3,...xn and somedependent variable zsuch that

    z=f(x1, x2, x3,...xn)

    specifies the value ofzgiven the values ofx1, x2, x3,...xn.

    For example, we might encounter functions of thefollowing form

    z = 1002x1+5x2+3x357x4

    z = 3x21 9x2x3+10x34

    z = e

    2x1+3x2

    Domenico Tabasso (Universityof Essex - Department of Economics)

    Lecture 2 Week 17 3 / 38

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    A few examples - 1

    Domenico Tabasso (Universityof Essex - Department of Economics)Lecture 2 Week 17 4 / 38

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    A few examples - 2

    Domenico Tabasso (Universityof Essex - Department of Economics)Lecture 2 Week 17 5 / 38

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    A few examples - 3

    Domenico Tabasso (Universityof Essex - Department of Economics)Lecture 2 Week 17 6 / 38

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    A few examples - 4

    Domenico Tabasso (Universityof Essex - Department of Economics)Lecture 2 Week 17 7 / 38

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    Graph of a function

    How can we graph these functions?

    Only functions of at mostTWOindependent variablescan be graphed!

    Consider any function

    z=f(x,y)

    This type of function can be graphed in a threedimensional space.

    Hence we have to extend the techniques we learnedabout functions of the form z=f(x)and try to usethem for this new set of functions.

    Domenico Tabasso (Universityof Essex - Department of Economics)Lecture 2 Week 17 8 / 38

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    Three-dimensional graph: z=f(x,y)

    Domenico Tabasso (Universityof Essex - Department of Economics)Lecture 2 Week 17 9 / 38

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    Example:

    Consider the following linear functionz=f(x,y) =3x+2y10

    This is an example of aplaneor a flat surface.This is the extension of a straight line into threedimensions or R3.

    Example of coordinates:

    (x1,y1, z1), (1,1,-5);(x2,y2, z2), (2,-0.5,-5);(x3,y3, z3), (10,-12.5,-5).

    Domenico Tabasso (Universityof Essex - Department of Economics)Lecture 2 Week 17 10 / 38

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    Here is the graph: z=3x+2y10

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    Sections (slices) through the surface of a function

    Three dimensional graphs sometimes are very hard tograph and could lead to confusion.

    In Economics we normally analyze these functions by

    looking at their sections.To obtain a particular section of the function we shouldask the following question:

    What are the values of x,y such thatz=a, whereaisa constant?

    Domenico Tabasso (Universityof Essex - Department of Economics)Lecture 2 Week 17 12 / 38

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    Why is this useful?

    For instance, consider the previous equation:

    z=3x+2y10

    and assume z=a. Then we have:

    a=3x+2y10but sinceais a constant we can rewrite our equation as:

    y=

    3

    2x+

    a+10

    2

    So what we have here is our old friend y=f(x), whichcan be graphed on a x,y plan!

    Domenico Tabasso (Universityof Essex - Department of Economics)Lecture 2 Week 17 13 / 38

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    All we have to do now is to impose some values for aso

    that we can see how the relation between x and y changeswhen achanges. So, for example ifa=0we get

    y=3

    2

    x+5

    while if we impose a=10what we get is:

    y=3

    2

    x+10

    and so on.

    Domenico Tabasso (Universityof Essex - Department of Economics)Lecture 2 Week 17 14 / 38

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    z=3x+2y10 A two dimensional graph

    14

    16Y

    12

    a=20

    10

    6 a=10

    4

    0

    2

    a=0

    2

    0 1 2 3 4 5X

    4

    Domenico Tabasso (Universityof Essex - Department of Economics)Lecture 2 Week 17 15 / 38

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    What are the values ofx, zsuch that y=c,where c isa constant? These can be represented in the x, zplaneby

    x=1

    3

    z+102c

    3for example ify=0,

    x=1

    3

    z+10

    3

    Domenico Tabasso (Universityof Essex - Department of Economics)Lecture 2 Week 17 17 / 38

    l

    http://find/
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    Level curves - 1

    Hence, by holding constant a variable (x, y orz) wehave reduced a three dimensional function into a twodimensional function (a function of one-variable).

    Here these are represented by straight lines since theoriginal function was linearin a two dimensional space.

    In general, we call level curvesany two dimensional

    representations ofz=f(x,y)when holding a variableconstant.

    Domenico Tabasso (Universityof Essex - Department of Economics)Lecture 2 Week 17 18 / 38

    L l 2

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    Level curves - 2

    Can we hold zconstant?

    Sure! Thats exactly what we do for drawing theindifference curves of a utility function.

    Imagine:

    U=100xy

    Indifference curves? Fix U=Uwhere U is a constant and

    the solve for yy=

    U

    100x

    As Uvaries we obtain a map of indifference curves.

    Domenico Tabasso (Universityof Essex - Department of Economics)Lecture 2 Week 17 19 / 38

    L l 2 2

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    Level curves: z=x2 +y2 holding z constant

    Domenico Tabasso (Universityof Essex - Department of Economics)Lecture 2 Week 17 20 / 38

    L l 2 + 2

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    Level curves: z=x2 +y2 holding z constant

    Domenico Tabasso (Universityof Essex - Department of Economics)Lecture 2 Week 17 21 / 38

    E i A li ti

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    Economic Applications:

    Consumer Theory and the Utility Function

    = u=U(x,y)(indifference curves)

    Producer Theory and the Production Function= y=F(L, K) (isoquants)

    The typical functions we encounter in economics are:

    1 Cobb-Douglas functions

    2 Linear Functions3 Quasi-linearFunctions

    4 LeontiefFunctions

    Domenico Tabasso (Universityof Essex - Department of Economics)Lecture 2 Week 17 22 / 38

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    Cobb-Douglas function:

    u = Axy Utility functiony = ALK Production function

    where A, and areusuallypositive constants.

    u=100x1/2y1/2 y= z2

    100x

    u=100x7y3 y=

    z100x7

    1/3

    Domenico Tabasso (Universityof Essex - Department of Economics)Lecture 2 Week 17 23 / 38

    Cobb Douglas functions level curves u 100x 1/2y 1/2

    http://find/
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    Cobb-Douglas functions level curves - u=100x1/2y1/2

    100

    70

    80

    50

    60

    30

    40

    10

    20

    1 2 3 4 5 6 7 8 9 10 1 1 12 1 3 14 1 5 16 1 7 18 1 9 20 2 1 22 2 3 24 2 5 26 2 7 28 2 9 30

    Domenico Tabasso (Universityof Essex - Department of Economics)Lecture 2 Week 17 24 / 38

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    Linear Function:

    u = ax+by,y = aL+bK,

    where aand bareusuallypositive constants.

    Quasi-Linearfunction:

    u = Ay+v(x),

    y = AK+v(L),

    where Ais usuallya positive constant and v()is afunction of one variable.

    Domenico Tabasso (Universityof Essex - Department of Economics)Lecture 2 Week 17 25 / 38

    Quasi linear function an example: z = 100x + y 3

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    Quasi-linear function, an example: z=100x+y

    3.5

    4

    2.5

    3

    1

    1.5

    2

    0

    0.5

    1 4 7 10 13 16 19 22 25 28

    Domenico Tabasso (Universityof Essex - Department of Economics)Lecture 2 Week 17 26 / 38

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    Leontief functions examples

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    Leontief functions, examples

    In order to produce 1 mobile phone (P) we need 1 keyboard(K) and 1 software (S). The production function is:

    P=min {K, S}

    In order to produce 1 bike (B) we need 1 frame (F) and 2

    tyres (T). So the production function is:

    B=min

    F, 12

    T

    Domenico Tabasso (Universityof Essex - Department of Economics)Lecture 2 Week 17 28 / 38

    Leontief functions level curves (isoquants)

    http://find/
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    Leontief functions level curves(isoquants)

    Y

    1

    1

    Domenico Tabasso (Universityof Essex - Department of Economics)Lecture 2 Week 17 29 / 38

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    NB important

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    NB important

    inputs must increase in the same proportion

    Otherwise we would be changing not only the scaleof theinputs but also the relative amounts of different inputsused.

    Domenico Tabasso (Universityof Essex - Department of Economics)Lecture 2 Week 17 31 / 38

    Cobb-Douglas functions level curves

    http://find/
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    Cobb Douglas functions level curves

    Domenico Tabasso (Universityof Essex - Department of Economics)Lecture 2 Week 17 32 / 38

    Homogeneous Functions

    http://find/
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    g u u

    Functions whose return to scale rate does not varies are

    called homogeneous. A functionf

    (x,y

    )is said to behomogeneous of degree k if

    f(tx, ty) =tkf(x,y)

    for all x,yand all t>0,where k is a scalar scalar.

    In words:a function is homogeneous of degree k if we obtain

    the same result whether we multiply each

    independent variable by t or if the whole function is

    multiplied by tk

    Domenico Tabasso (Universityof Essex - Department of Economics)Lecture 2 Week 17 33 / 38

    Example 1

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    p

    z=f(x,y) =x2y+3xy2 +y3

    What is its degree of homogeneity?

    f(tx, ty) = (tx)2(ty) +3(tx)(ty)2 + (ty)3

    = t2x2ty+3txt2y2 +t3y3

    = t3

    (x2y

    +3xy2

    +y3

    )= t3f(x, y)

    Domenico Tabasso (Universityof Essex - Department of Economics)Lecture 2 Week 17 34 / 38

    Example 2: Cobb-Douglas function

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    p g

    y=F(L, K) =AL

    K

    What is its degree of homogeneity?

    F(tL, tK) = A(tL)(tK)

    = t+(ALaK)

    = t+F(L, K).

    The degree of homogeneity is just = +

    Domenico Tabasso (Universityof Essex - Department of Economics)Lecture 2 Week 17 35 / 38

    Returns to Scale of a Cobb-Douglas

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    g

    If+=1,the function is homogeneous of degree1=Constant Returns to Scale.

    If

    + >

    1,the function is homogeneous of a degree>1=Increasing Returns to Scale.

    If+

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    Domenico Tabasso (Universityof Essex - Department of Economics)Lecture 2 Week 17 37 / 38

    Partial Differentiation

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    Consider a function z=f(x,y)

    partial derivative ofz wrt x zx

    partial derivative ofz wrt y z

    y

    We use the usual rule of derivation, because when we dothe partial derivative wrt xwe held the rest of the variablesfixed.

    Domenico Tabasso (Universityof Essex - Department of Economics)Lecture 2 Week 17 38 / 38

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