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How Important Education Is? An Explorative Analysis Of The Dropout Phenomenon In Eastern Europe

Author

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  • Piera CASCIOLI

    (Department of Philosophical, Pedagogical and Economic-Quantitative Sciences, University of Chieti-Pescara, Pescara, Italy)

  • Emiliano COLANTONIO

    (Department of Philosophical, Pedagogical and Economic-Quantitative Sciences, University of Chieti-Pescara, Pescara, ItalyDepartment of Philosophical, Pedagogical and Economic-Quantitative Sciences, University of Chieti-Pescara, Pescara, Italy)

  • Daniel BADULESCU

Abstract

Early school leaving is a structural problem related to the socioeconomic environment involving aspects of local culture and customs that characterize a country. If not controlled, with the intent of hindering it, this phenomenon can generate unemployment, social exclusion, poverty, health problems and a slowdown in the country’s economic growth. Since education policies are one of the most important concerns of national governments and international organizations, the UN 2030 Agenda, containing the common ambitions of the signatory countries, proposes 17 sustainable development goals and specifically, among these, inclusive and equitable quality education. In some Eastern European countries, the percentage of young people who decide not to continue their studies is really too high, exceeding 10%. Therefore, the aim of the paper is to study the dropout phenomenon in this context. We employ a panel vector autoregressive model in first differences to test complex dynamic relationships between share of the population aged 18 to 24 not involved in any education or training (as a proxy for the dropout phenomenon), GDP per capita (as a proxy for a country’s wealth and industrial modernity), gross domestic expenditure on R&D in higher education (as a proxy for a country’s effort to improve its education system), and share of people reporting crime, violence or vandalism (as a proxy for a country’s social condition). The study concerns 10 Eastern European countries for the period 2000-2021. The results show that the government expenditure in education is negatively related to the dropout rate. Moreover, the increase in the relative number of early school leavers seems to stimulate a worsening in social conditions, with an increase in cases of crime, violence and vandalism. Finally, both an increase in dropouts and a deterioration in social conditions generate negative effects on the well-being of the community and economic growth. Improving the quality of the education system is therefore crucial (this is also confirmed by the variance decomposition analysis), even if it may not be enough: from the impulse response functions analysis, indeed, a shock exerted on the government expenditure on R&D in higher education produces positive effects on the (declining) dropout rate, but only for a short period. Policymakers should therefore make constant efforts to reduce the early school leaving.

Suggested Citation

  • Piera CASCIOLI & Emiliano COLANTONIO & Daniel BADULESCU, 2023. "How Important Education Is? An Explorative Analysis Of The Dropout Phenomenon In Eastern Europe," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 72-83, July.
  • Handle: RePEc:ora:journl:v:32:y:2023:i:1:p:72-83
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    References listed on IDEAS

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    1. Alina Cristina Coman (Nuţă) & Dan Lupu & Florian Marcel Nuţă, 2023. "The impact of public education spending on economic growth in Central and Eastern Europe. An ARDL approach with structural break," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 36(1), pages 1261-1278, March.
    2. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    3. Helmut Lütkepohl, 2005. "New Introduction to Multiple Time Series Analysis," Springer Books, Springer, number 978-3-540-27752-1, September.
    4. Joakim Westerlund, 2007. "Testing for Error Correction in Panel Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(6), pages 709-748, December.
    5. Love, Inessa & Zicchino, Lea, 2006. "Financial development and dynamic investment behavior: Evidence from panel VAR," The Quarterly Review of Economics and Finance, Elsevier, vol. 46(2), pages 190-210, May.
    6. Michael R. M. Abrigo & Inessa Love, 2016. "Estimation of panel vector autoregression in Stata," Stata Journal, StataCorp LP, vol. 16(3), pages 778-804, September.
    7. Enrico Ripamonti & Stefano Barberis, 2018. "The Effect of Cultural Capital on High School Dropout: An Investigation in the Italian Provinces," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 139(3), pages 1257-1279, October.
    8. Floro Ernesto Caroleo & Antonella Rocca & Paolo Mazzocchi & Claudio Quintano, 2020. "Being NEET in Europe Before and After the Economic Crisis: An Analysis of the Micro and Macro Determinants," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(3), pages 991-1024, June.
    9. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    10. Richard B. Freeman, 1991. "Crime and the Employment of Disadvantaged Youths," NBER Working Papers 3875, National Bureau of Economic Research, Inc.
    11. Andrews, Donald W. K. & Lu, Biao, 2001. "Consistent model and moment selection procedures for GMM estimation with application to dynamic panel data models," Journal of Econometrics, Elsevier, vol. 101(1), pages 123-164, March.
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    More about this item

    Keywords

    school dropouts; education; human capital; socioeconomic development;
    All these keywords.

    JEL classification:

    • I2 - Health, Education, and Welfare - - Education
    • H52 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Education

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