A LOGIT MODEL FOR THE ESTIMATION OF THE EDUCATIONAL LEVEL INFLUENCE ON UNEMPLOYMENT IN ROMANIA

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15210%2F16%3A33159939" target="_blank" >RIV/61989592:15210/16:33159939 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

A LOGIT MODEL FOR THE ESTIMATION OF THE EDUCATIONAL LEVEL INFLUENCE ON UNEMPLOYMENT IN ROMANIA

Popis výsledku v původním jazyce

Education is one of the main determinants of the unemployment level in all EU countries. In this paper we used a logit model to estimate the effect of the educational level on the unemployment in Romania using data recorded at the Population and Housing Census 2011. Besides the educational level we also used other socio-demographic variables recorded at the Census like gender, marital status, number of years of experience on the labour market, residential area. Data processing was achieved using R software system and since the data set used for model estimation was very large we used special techniques suited for big data processing. The results showed that the lowest odds ratio to be unemployed was recorded for population with tertiary education which is consistent with other studies at international level and with the official statistics data, but our study indicates that tertiary education has a greater impact on unemployment in Romania than in other EU countries.

Název v anglickém jazyce

A LOGIT MODEL FOR THE ESTIMATION OF THE EDUCATIONAL LEVEL INFLUENCE ON UNEMPLOYMENT IN ROMANIA

Popis výsledku anglicky

Education is one of the main determinants of the unemployment level in all EU countries. In this paper we used a logit model to estimate the effect of the educational level on the unemployment in Romania using data recorded at the Population and Housing Census 2011. Besides the educational level we also used other socio-demographic variables recorded at the Census like gender, marital status, number of years of experience on the labour market, residential area. Data processing was achieved using R software system and since the data set used for model estimation was very large we used special techniques suited for big data processing. The results showed that the lowest odds ratio to be unemployed was recorded for population with tertiary education which is consistent with other studies at international level and with the official statistics data, but our study indicates that tertiary education has a greater impact on unemployment in Romania than in other EU countries.

Druh

D - Stať ve sborníku

CEP obor

AH - Ekonomie

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název statě ve sborníku

Knowledge for Market Use 2016: Our Interconnected and Divided World

ISBN

978-80-87533-14-7

ISSN

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e-ISSN

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Počet stran výsledku

12

Strana od-do

334-345

Název nakladatele

Societas scientiarum Olomucensis II

Místo vydání

Olomouc

Místo konání akce

Olomouc

Datum konání akce

8. 9. 2016

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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