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Chapter 8 Nonlinear Regression Functions | ECON - Econometrics 1 - Introduction, Quizzes of Introduction to Econometrics

Class: ECON - Econometrics 1 - Introduction; Subject: Economics; University: Simpson College; Term: Forever 1989;

Typology: Quizzes

2011/2012

Uploaded on 11/29/2012

kt2013
kt2013 🇺🇸

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TERM 1
Quadratic Regression Model
DEFINITION 1
A nonlinear regression function that includes X and X^2 as
regressors
TERM 2
Nonlinear Regression Model
DEFINITION 2
A regression function with a slope that is NOT constant
TERM 3
Polynomial Regression Model
DEFINITION 3
A nonlinear regression function that includes X, X^2,....and
X^y as regressors. R is an integer
TERM 4
Cubic Regression Model
DEFINITION 4
A nonlinear regression function that includes X, X^2, X^3 as
Regressors
TERM 5
Elasticity
DEFINITION 5
In economics, elasticity is the measurement of how changing
one economic variable affects others. For example:
pf3

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Quadratic Regression Model

A nonlinear regression function that includes X and X^2 as regressors TERM 2

Nonlinear Regression Model

DEFINITION 2 A regression function with a slope that is NOT constant TERM 3

Polynomial Regression Model

DEFINITION 3 A nonlinear regression function that includes X, X^2,....and X^y as regressors. R is an integer TERM 4

Cubic Regression Model

DEFINITION 4 A nonlinear regression function that includes X, X^2, X^3 as Regressors TERM 5

Elasticity

DEFINITION 5 In economics, elasticity is the measurement of how changing one economic variable affects others. For example:

Natural Logarithm

Has a base of e. If e^b=x, then b is the log of x. A log is the exponent that a base must be raised to equal a certain value. (From web)The natural logarithm is the logarithm to the base e, where e is an irrational and transcendental constant approximately equal to 2.718281828. The natural logarithm is generally written as ln x , loge x or sometimes, if the base of e is implicit, as simply log x. TERM 7

Linear-Log model

DEFINITION 7 A nonlinear regression function in which the dependent variable is Y and the independent variable is ln(X). TERM 8

Log-Linear model

DEFINITION 8 A nonlinear regression function in which the dependent variable is ln(Y) and the independent variable is X.(From web) A log-linear model is a mathematical model that takes the form of a function whose logarithm is a first-degree polynomial function of the parameters of the model, which makes it possible to apply linear regression. TERM 9

Log-Log model

DEFINITION 9 A nonlinear regression function in which the dependent variable is ln(Y) and the independent variable is ln(X). TERM 10

Interaction Term

DEFINITION 10 A regressor that is formed as the product of two other regressors, such as X1i 3 X2i.Education + Gender = EducGender