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

The result's identifiers

  • Result code in 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>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    AH - Economics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Knowledge for Market Use 2016: Our Interconnected and Divided World

  • ISBN

    978-80-87533-14-7

  • ISSN

  • e-ISSN

  • Number of pages

    12

  • Pages from-to

    334-345

  • Publisher name

    Societas scientiarum Olomucensis II

  • Place of publication

    Olomouc

  • Event location

    Olomouc

  • Event date

    Sep 8, 2016

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article