The Linear Regression Model of Education Expenditure in the EU

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

The Linear Regression Model of Education Expenditure in the EU

Popis výsledku v původním jazyce

The most prevailing indicator of public expenditure for education is their proportion in GDP. Expenditures for one student per year or the proportion of students per 100 inhabitants rank among other important indicators. This paper deals with the analysis of public expenditures, which were directed at the sphere of education using the latest available data of EUROSTAT. Information from 26 EU countries and Norway was used. A linear regression model was compiled with three predictors and the interpreted variable of expenditure for a student. This model originated on the basis of the wider range of indicators using step regression and the rate of its determination amounted to about 90%. Through the correction of non-linearity introduced by some countriessubstantially better results were achieved without necessity to exclude these countries. The resulting model with five parameters leaves 1.4% variability of the interpreted variable unexplained. The model correctness was also examined usi

Název v anglickém jazyce

The Linear Regression Model of Education Expenditure in the EU

Popis výsledku anglicky

The most prevailing indicator of public expenditure for education is their proportion in GDP. Expenditures for one student per year or the proportion of students per 100 inhabitants rank among other important indicators. This paper deals with the analysis of public expenditures, which were directed at the sphere of education using the latest available data of EUROSTAT. Information from 26 EU countries and Norway was used. A linear regression model was compiled with three predictors and the interpreted variable of expenditure for a student. This model originated on the basis of the wider range of indicators using step regression and the rate of its determination amounted to about 90%. Through the correction of non-linearity introduced by some countriessubstantially better results were achieved without necessity to exclude these countries. The resulting model with five parameters leaves 1.4% variability of the interpreted variable unexplained. The model correctness was also examined usi

Druh

D - Stať ve sborníku

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2009

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

AMSE 2009

ISBN

978-80-245-1600-4

ISSN

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e-ISSN

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Počet stran výsledku

15

Strana od-do

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Název nakladatele

Oeconomia

Místo vydání

Praha

Místo konání akce

Uherké Hradiště

Datum konání akce

1. 1. 2009

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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