review of math essentials prepared by vera tabakova, east carolina university

38
Appendix A Review of Math Essentials Prepared by Vera Tabakova, East Carolina University

Upload: martina-skinner

Post on 26-Dec-2015

214 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: Review of Math Essentials Prepared by Vera Tabakova, East Carolina University

Appendix A

Review of Math Essentials

Prepared by Vera Tabakova, East Carolina University

Page 2: Review of Math Essentials Prepared by Vera Tabakova, East Carolina University

Appendix A: Review of Math Essentials

A.1 Summation

A.2 Some Basics

A.3 Linear Relationships

A.4 Nonlinear Relationships

Slide A-2Principles of Econometrics, 3rd Edition

Page 3: Review of Math Essentials Prepared by Vera Tabakova, East Carolina University

A.1 Summation

The symbol Σ is the capital Greek letter sigma, and means “the sum of.”

The letter i is called the index of summation. This letter is arbitrary and may also appear as t, j, or k.

The expression is read “the sum of the terms xi, from i equal one to n.”

The numbers 1 and n are the lower limit and upper limit of summation.

Slide A-3Principles of Econometrics, 3rd Edition

1 21

n

i ni

x x x x

1

n

ii

x

Page 4: Review of Math Essentials Prepared by Vera Tabakova, East Carolina University

A.1 Summation

Rules of summation operation:

Slide A-4Principles of Econometrics, 3rd Edition

1 21

n

i ni

x x x x

1 1

n n

i ii i

ax a x

1

n

i

a a a a na

1 1 1

( )n n n

i i i ii i i

x y x y

Page 5: Review of Math Essentials Prepared by Vera Tabakova, East Carolina University

A.1 Summation

Slide A-5Principles of Econometrics, 3rd Edition

1 1 1

1 1 2

1 1 1 1 1 1

( )

( ) 0

n n n

i i i ii i i

n

ii n

n n n n n n

i i i i ii i i i i i

ax by a x b y

xx x x

xn n

x x x x x nx x x

Page 6: Review of Math Essentials Prepared by Vera Tabakova, East Carolina University

A.1 Summation

Slide A-6Principles of Econometrics, 3rd Edition

1 21

( ) ( ) ( ) ( )

( ) ("Sum over all values of the index ")

( ) ("Sum over all possible values of ")

n

i ni

ii

x

f x f x f x f x

f x i

f x X

Page 7: Review of Math Essentials Prepared by Vera Tabakova, East Carolina University

A.1 Summation

Slide A-7Principles of Econometrics, 3rd Edition

1 1 1 1

1 21 1 1

1 1 1 1

( , ) ( )

( , ) [ ( , ) ( , ) ( , )]

( , ) ( , )

m n m n

i j i ji j i j

m n m

i j i i i ni j i

m n n m

i j i ji j j i

f x y x y

f x y f x y f x y f x y

f x y f x y

Page 8: Review of Math Essentials Prepared by Vera Tabakova, East Carolina University

A.2 Some Basics

A.2.1Numbers

Integers are the whole numbers, 0, ±1, ±2, ±3, …. .

Rational numbers can be written as a/b, where a and b are integers, and b ≠ 0.

The real numbers can be represented by points on a line. There are an uncountable number of real numbers and they are not all rational. Numbers such as are said to be irrational since they cannot be expressed as ratios, and have only decimal representations. Numbers like are not real numbers.

Slide A-8Principles of Econometrics, 3rd Edition

3.1415927 and 2

2

Page 9: Review of Math Essentials Prepared by Vera Tabakova, East Carolina University

A.2 Some Basics

The absolute value of a number is denoted . It is the positive part

of the number, so that

Basic rules about Inequalities:

Slide A-9Principles of Econometrics, 3rd Edition

a

3 3 and 3 3.

If , then

if 0If , then

if 0

If and , then

a b a c b c

ac bc ca b

ac bc c

a b b c a c

Page 10: Review of Math Essentials Prepared by Vera Tabakova, East Carolina University

A.2 Some Basics

A.2.2Exponents

(n terms) if n is a positive integer

x0 = 1 if x ≠ 0. 00 is not defined

Rules for working with exponents, assuming x and y are real, m and n are integers, and a and b are rational:

Slide A-10Principles of Econometrics, 3rd Edition

nx xx x

1 if 0n

nx x

x

Page 11: Review of Math Essentials Prepared by Vera Tabakova, East Carolina University

A.2 Some Basics

Slide A-11Principles of Econometrics, 3rd Edition

1/

/ 1/

/ 1/

n n

mm n n

mm n n

a b a b

a a

a

x x

x x

x x

x x x

x x

y y

Page 12: Review of Math Essentials Prepared by Vera Tabakova, East Carolina University

A.2.3 Scientific Notation

Slide A-12Principles of Econometrics, 3rd Edition

5 7

5 7

2

510,000 .00000034 (5.1 10 ) (3.4 10 )

(5.1 3.4) (10 10 )

17.34 10

.1734

5 512

7 7

510,000 5.1 10 5.1 101.5 10

.00000034 3.4 10 3.4 10

Page 13: Review of Math Essentials Prepared by Vera Tabakova, East Carolina University

A.2.4 Logarithms and the number e

Slide A-13Principles of Econometrics, 3rd Edition

ln ln

Rules:

ln( ) ln( ) ln( )

ln( / ) ln( ) ln( )

ln( ) ln( )

b

a

x e b

xy x y

x y x y

x a x

Page 14: Review of Math Essentials Prepared by Vera Tabakova, East Carolina University

A.2.4 Logarithms and the number e

Slide A-14Principles of Econometrics, 3rd Edition

Page 15: Review of Math Essentials Prepared by Vera Tabakova, East Carolina University

A.2.4 Logarithms and the number e

The exponential function is the antilogarithm because we can recover

the value of x using it.

Slide A-15Principles of Econometrics, 3rd Edition

ln exp lnxx e x

Page 16: Review of Math Essentials Prepared by Vera Tabakova, East Carolina University

A.3 Linear Relationships

Slide A-16Principles of Econometrics, 3rd Edition

(A.1)

(A.2)

1 2y x

2y x

1 2 1 2 10y x

Page 17: Review of Math Essentials Prepared by Vera Tabakova, East Carolina University

A.3 Linear Relationships

Figure A.1 A linear relationship

Slide A-17Principles of Econometrics, 3rd Edition

Page 18: Review of Math Essentials Prepared by Vera Tabakova, East Carolina University

A.3 Linear Relationships

Slide A-18Principles of Econometrics, 3rd Edition

(A.3)

(A.4)

2

dy

dx

1 2 2 3 3y x x

(A.5)2 3

2

3 23

given that is held constant

given that is held constant

yx

xy

xx

Page 19: Review of Math Essentials Prepared by Vera Tabakova, East Carolina University

A.3 Linear Relationships

Slide A-19Principles of Econometrics, 3rd Edition

(A.6)

1 2 3Q L K

2 given that capital is held constant

, the marginal product of labor inputL

QK

L

MP

2 32 3

,y y

x x

Page 20: Review of Math Essentials Prepared by Vera Tabakova, East Carolina University

A.3.1 Elasticity

Slide A-20Principles of Econometrics, 3rd Edition

(A.7)

∆y/y = the relative change in y, which is a decimal

%∆y = percentage change in y

(A.8a)

(A.8b)

(A.8c)

yx

y y y x xslope

x x x y y

% 100y

yy

Page 21: Review of Math Essentials Prepared by Vera Tabakova, East Carolina University

A.4 Nonlinear Relationships

Figure A.2 A nonlinear relationship

Slide A-21Principles of Econometrics, 3rd Edition

Page 22: Review of Math Essentials Prepared by Vera Tabakova, East Carolina University

A.4 Nonlinear Relationships

Slide A-22Principles of Econometrics, 3rd Edition

(A.9)

(A.10)

2dy dx

yx

dy y dy x xslope

dx x dx y y

Page 23: Review of Math Essentials Prepared by Vera Tabakova, East Carolina University

A.4 Nonlinear Relationships

Slide A-23Principles of Econometrics, 3rd Edition

Page 24: Review of Math Essentials Prepared by Vera Tabakova, East Carolina University

A.4 Nonlinear Relationships

Figure A.3 Alternative Functional FormsSlide A-24Principles of Econometrics, 3rd Edition

Page 25: Review of Math Essentials Prepared by Vera Tabakova, East Carolina University

A.4.1 Quadratic Function

If β3 > 0, then the curve is U-shaped, and representative of average or

marginal cost functions, with increasing marginal effects. If β3 < 0,

then the curve is an inverted-U shape, useful for total product curves,

total revenue curves, and curves that exhibit diminishing marginal

effects.

Slide A-25Principles of Econometrics, 3rd Edition

21 2 3y x x

2 3 2 32 0, or / (2 )dy dx x x

Page 26: Review of Math Essentials Prepared by Vera Tabakova, East Carolina University

A.4.2 Cubic Function

Cubic functions can have two inflection points, where the function crosses its tangent line, and changes from concave to convex, or vice versa.

Cubic functions can be used for total cost and total product curves in economics. The derivative of total cost is marginal cost, and the derivative of total product is marginal product.

If the “total” curves are cubic then the “marginal” curves are quadratic functions, a U-shaped curve for marginal cost, and an inverted-U shape for marginal product.

Slide A-26Principles of Econometrics, 3rd Edition

2 31 2 3 4y x x x

Page 27: Review of Math Essentials Prepared by Vera Tabakova, East Carolina University

A.4.3 Reciprocal Function

Example: the Phillips Curve

Slide A-27Principles of Econometrics, 3rd Edition

11 2 1 2

1y x

x

1

1

1 2

% 100

1%

t tt

t

tt

w ww

w

wu

Page 28: Review of Math Essentials Prepared by Vera Tabakova, East Carolina University

A.4.4 Log-Log Function

In order to use this model all values of y and x must be positive. The slopes of these curves change at every point, but the elasticity is constant and equal to β2.

Slide A-28Principles of Econometrics, 3rd Edition

1 2ln( ) ln( )y x

Page 29: Review of Math Essentials Prepared by Vera Tabakova, East Carolina University

A.4.5 Log-Linear Function

Both its slope and elasticity change at each point and are the same sign as β2.

The slope at any point is β2y, which for β2 > 0 means that the marginal

effect increases for larger values of y.

Slide A-29Principles of Econometrics, 3rd Edition

1 2ln( )y x

1exp ln( ) exp( )y y x

Page 30: Review of Math Essentials Prepared by Vera Tabakova, East Carolina University

A.4.6 Approximating Logarithms

Slide A-30Principles of Econometrics, 3rd Edition

(A.11) 1 0 1 00

1ln ln( ) ( )y y y y

y

1 0 1 00 0

ln(1 )

1ln ln( ) ln ( ) = relative change in

x x

yy y y y y y

y y

Page 31: Review of Math Essentials Prepared by Vera Tabakova, East Carolina University

A.4.6 Approximating Logarithms

Slide A-31Principles of Econometrics, 3rd Edition

(A.12)

1 0

0

100 ln( ) 100 ln( ) ln( )

100

% percentage change in

y y y

y

y

y y

Page 32: Review of Math Essentials Prepared by Vera Tabakova, East Carolina University

A.4.6 Approximating Logarithms

Slide A-32Principles of Econometrics, 3rd Edition

10

1 1

1

% 100 100( 1)

1 ln% 100 ln( )% approximation error 100 100

100 ln( ) ln( )

yy y

y

y yy y

y y

Page 33: Review of Math Essentials Prepared by Vera Tabakova, East Carolina University

A.4.6 Approximating Logarithms

Slide A-33Principles of Econometrics, 3rd Edition

Page 34: Review of Math Essentials Prepared by Vera Tabakova, East Carolina University

A.4.7 Approximating Logarithms in the Log-Linear Model

Slide A-34Principles of Econometrics, 3rd Edition

(A.13)

1 0

2 1 0

2

100 ln( ) ln( ) %

100

(100 )

y y y

x x

x

Page 35: Review of Math Essentials Prepared by Vera Tabakova, East Carolina University

A.4.8 Linear-Log Function

Slide A-35Principles of Econometrics, 3rd Edition

0 1 2 0

1 1 2 1

ln( )

ln( )

y x

y x

1 0 2 1 0

21 0

2

ln( ) ln( )

100 ln( ) ln( )100

%100

y y y x x

x x

x

Page 36: Review of Math Essentials Prepared by Vera Tabakova, East Carolina University

A.4.8 Linear-Log Function

Slide A-36Principles of Econometrics, 3rd Edition

1 2

2

ln( ) 0 500ln( )

500% 10 50

100 100

y x x

y x

Page 37: Review of Math Essentials Prepared by Vera Tabakova, East Carolina University

A.4.8 Linear-Log Function

Slide A-37Principles of Econometrics, 3rd Edition

1 2

2

ln( ) 0 500ln( )

500% 10 50

100 100

y x x

y x

Page 38: Review of Math Essentials Prepared by Vera Tabakova, East Carolina University

Keywords

Slide A-38Principles of Econometrics, 3rd Edition

absolute value antilogarithm asymptote ceteris paribus cubic function derivative double summation e elasticity exponential function exponents inequalities integers intercept irrational numbers linear relationship logarithm

log-linear function log-log function marginal effect natural logarithm nonlinear relationship partial derivative percentage change Phillips curve quadratic function rational numbers real numbers reciprocal function relative change scientific notation slope summation sign