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The Impact Of Education On The Unemployment Rate In The Southern European Model

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  • Amalia CRISTESCU

    (Bucharest University of Economic Studies)

Abstract

In the current socio-economic context marked by high unemployment rates, the education is seen as an important pillar in the economic recovery process. The economic growth and competitiveness are supported by a highly qualified labour force and adapted to market requirements. By Agenda 2020 the European Union promotes and supports the education and the reducing of the school dropout. The countries from the Southern European Model have experienced in the last 10 years an upward trend in the unemployment rate, and two of the component countries (Greece and Spain) currently register the highest unemployment rates in the European Union. Given these issues in this paper I propose to analyse, through a model of panel data, the impact of educational attainment the rate of early school leaving and the graduation of a tertiary education), the investments made in education, the Gross Domestic Product and the total population on the unemployment rate in the Southern European countries.

Suggested Citation

  • Amalia CRISTESCU, 2017. "The Impact Of Education On The Unemployment Rate In The Southern European Model," Romanian Journal of Regional Science, Romanian Regional Science Association, vol. 11(1), pages 62-75, June.
    • Handle: RePEc:rrs:journl:v:11:y:2017:i:1:p:62-75
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    References listed on IDEAS

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    1. Mirela Ionela ACELEANU, 2013. "The labour market in the post-crisis economy: the case of Spain," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(3(580)), pages 135-146, March.
    2. James Costain & Juan F. Jimeno & Carlos Thomas, 2010. "Employment fluctuations in a dual labour market," Economic Bulletin, Banco de España, issue APR, pages 129-137, April.
    3. Baltagi, Badi H., 2013. "Panel Data Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 995-1024, Elsevier.
    4. AIGINGER Karl, 2011. "Why Performance Differed Across Countries In The Recent Crisis," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 55(2), pages 20-27.
    5. repec:agr:journl:v:3(580):y:2013:i:3(580):p:135-146 is not listed on IDEAS
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    Cited by:

    1. Omar SALEM, 2020. "Education And Internet Users Indicators And Their Impact On The Unemployment Rate In European Union Countries," Network Intelligence Studies, Romanian Foundation for Business Intelligence, Editorial Department, issue 15, pages 27-33, June.

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    More about this item

    Keywords

    unemployment; education; European model; panel data analysis;
    All these keywords.

    JEL classification:

    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • I25 - Health, Education, and Welfare - - Education - - - Education and Economic Development
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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