Disturbances in the linear model, estimation and hypothesis testing

Name: Disturbances in the linear model, estimation and hypothesis testing
Brand: Wolters-Noordhoff B.V.
SKU: 9789020707724
Price: 1147 CZK
Availability: InStock

Estimation and Hypothesis Testing

Autor: C. Dubbelman

Jazyk:

Vazba: Brožovaná

Vydavatel: Wolters-Noordhoff B.V.

Dostupnost: Skladem u dodavatele

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1. 1. The general linear model All econometric research is based on a set of numerical data relating...

Informace o knize

Autor

C. Dubbelman

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

1978

Stránek

108

EAN

9789020707724

ISBN

9020707728

Enbook ID

02173737

Vydavatel

Wolters-Noordhoff B.V.

Hmotnost

190

Rozměry

152 x 229 x 7

Kompletní popis

1. 1. The general linear model All econometric research is based on a set of numerical data relating to certain economic quantities, and makes infer ences from the data about the ways in which these quanti ties are related (Malinvaud 1970, p. 3). The linear relation is frequently encountered in applied econometrics. Let y and x denote two economic quantities, then the linear relation between y and x is formalized by: where {31 and {32 are constants. When {31 and {32 are known numbers, the value of y can be calculated for every given value of x. Here y is the dependent variable and x is the explanatory variable. In practical situations {31 and {32 are unknown. We assume that a set of n observations on y and x is available. When plotting the ob served pairs (x l' YI)' (x ' Y2)' . . . , (x , Y n) into a diagram with x 2 n measured along the horizontal axis and y along the vertical axis it rarely occurs that all points lie on a straight line. Generally, no b 1 and b exist such that Yi = b + b x for i = 1,2, . . . ,n. Unless 2 l 2 i the diagram clearly suggests another type of relation, for instance quadratic or exponential, it is customary to adopt linearity in order to keep the analysis as simple as possible.

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Disturbances in the linear model, estimation and hypothesis testing

Estimation and Hypothesis Testing

Informace o knize

Kompletní popis

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