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An Analysis of the Relationship between Higher Education Expenditures and Youth Unemployment in Turkey

Author

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  • Muammer Maral

    (Marmara Universitesi, Egitim Bilimleri Enstitusu, Egitim Bilimleri Bolumu, Istanbul, Turkiye)

  • Furkan Yildiz

    (Kirklareli Universitesi, Iktisadi ve Idari Bilimler Fakultesi, Iktisat Bolumu, Kirklareli, Turkiye)

  • Yusuf Alpaydin

    (Marmara Universitesi, Atatürk Egitim Fakultesi, Egitim Bilimleri Bolumu, Istanbul, Turkiye)

Abstract

The problem of unemployment—especially among youth—has been the subject of many scientific studies. Scientists have worked on the main causes of youth unemployment and possible solutions for a long time and are still working on it. However, youth unemployment is a complex, global problem that is affected by many factors. Various scientific disciplines have dealt with different perspectives on the main causes, consequences and possible solutions of youth unemployment. The problem is increasing worldwide, and various opinions and suggestions have been put forward. The main objective of this study is to analyze the determinants of youth unemployment in Turkey for the period 1988– 2019. The dependent variable of the study is youth unemployment, and the main variable that affects the dependent variable is higher education expenditures. Other control variables used in the study are real gross domestic product per capita, gross capital formation and labor productivity, respectively. The Autoregressive Distributed Lag Bounds Testing (ARDL Test) approach, which tests whether there is a short and long-run relationship between the series, was used in the study. The findings obtained from the analysis results indicate that youth unemployment is negatively associated with higher education expenditures and gross capital formation. It is positively associated with real gross domestic product per capita and labor productivity. When the long-term coefficients are compared, the independent variable that has the highest impact on youth unemployment is gross domestic product per capita, followed by gross capital formation, higher education expenditures and labor productivity, respectively.

Suggested Citation

  • Muammer Maral & Furkan Yildiz & Yusuf Alpaydin, 2021. "An Analysis of the Relationship between Higher Education Expenditures and Youth Unemployment in Turkey," Journal of Economic Policy Researches, Istanbul University, Faculty of Economics, vol. 8(2), pages 173-197, July.
    • Handle: RePEc:ist:iujepr:v:8:y:2021:i:2:p:173-197
    DOI: 10.26650/JEPR.907984
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    1. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    2. Rasmus Lentz & Dale T. Mortensen, 2006. "Productivity Growth and Worker Reallocation: Theory and Evidence," Contributions to Economic Analysis, in: Structural Models of Wage and Employment Dynamics, pages 551-577, Emerald Group Publishing Limited.
    3. Fabien Tripier, 2002. "The Dynamic Correlation Between Growth and Unemployment," Economics Bulletin, AccessEcon, vol. 5(4), pages 1-9.
    4. N/A, 2001. "At a Glance..," National Institute Economic Review, National Institute of Economic and Social Research, vol. 175(1), pages 2-3, January.
    5. Riza Bayrak, Halim Tatli, 2018. "The Determinants of Youth Unemployment: A Panel Data Analysis of OECD Countries," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 15(2), pages 231-248, December.
    6. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    7. Maria Laura Parisi & Enrico Marelli & Olga Demidova, 2015. "Labour Productivity of Young and Adult Temporary Workers and Youth Unemployment: a Cross-country Analysis," Discussion Papers 1_2015, CRISEI, University of Naples "Parthenope", Italy.
    8. Jacob (Yaacov) Weisberg & Noah M. Meltz, 1999. "Education and Unemployment in Israel, 1976-1994: Reducing the Anomaly," Working Papers nmeltz-99-01, University of Toronto, Department of Economics.
    9. Hildegard Brauns & Markus Gangl & Stefani Scherer, 1999. "Education and Unemployment: Patterns of Labour Market Entry in France, the United Kingdom and Germany," MZES Working Papers 6, MZES.
    10. Malayaranjan SAHOO & Jayantee SAHOO, 2019. "The relationship between unemployment and some macroeconomic variables: Empirical evidence from India," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(1(618), S), pages 115-128, Spring.
    11. Michael Takudzwa Pasara & Rufaro Garidzirai, 2020. "Causality Effects among Gross Capital Formation, Unemployment and Economic Growth in South Africa," Economies, MDPI, vol. 8(2), pages 1-12, April.
    12. Niall O'Higgins, 1997. "The challenge of youth unemployment," International Social Security Review, John Wiley & Sons, vol. 50(4), pages 63-93, October.
    13. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    14. repec:agr:journl:v:1(618):y:2019:i:1(618):p:115-128 is not listed on IDEAS
    15. N/A, 2001. "At a Glance..," National Institute Economic Review, National Institute of Economic and Social Research, vol. 176(1), pages 2-3, April.
    16. Deepti Singh & Shruti Shastri, 2020. "Public expenditure on education, educational attainment and unemployment nexus in India: an empirical investigation," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 47(5), pages 663-674, May.
    17. Baek, Jungho & Kim, Hyun Seok, 2013. "Is economic growth good or bad for the environment? Empirical evidence from Korea," Energy Economics, Elsevier, vol. 36(C), pages 744-749.
    18. repec:ebl:ecbull:v:5:y:2002:i:4:p:1-9 is not listed on IDEAS
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    More about this item

    Keywords

    Higher education expenditures; Youth unemployment; Gross capital formation; Turkey; Time series JEL Classification : E24 ; J20 ; J58;
    All these keywords.

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • J20 - Labor and Demographic Economics - - Demand and Supply of Labor - - - General
    • J58 - Labor and Demographic Economics - - Labor-Management Relations, Trade Unions, and Collective Bargaining - - - Public Policy

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