IDEAS home Printed from https://ideas.repec.org/a/jfr/ijhe11/v8y2019i4p52.html
   My bibliography  Save this article

Do Graduates from Arts-Related Disciplines have a Higher Impact on Unemployment than Graduates from the Science-Related Disciplines?

Author

Listed:
  • Victoria Kakooza
  • Robert Wamala
  • James Wokadala
  • Thomas Bwire

Abstract

There have been several attempts in developing countries to reduce both graduate and overall unemployment; with the majority attempts centered on changes in the education sector. To better understand this avenue, this study intends to comparatively establish the impact of the two broad discipline categories of- Arts and science related disciplines- on the overall unemployment. The study employed the Vector autoregressive (VAR) model to analyse Uganda’s data between 1991 and 2017. The findings of the study showed that the arts/humanities graduates have a slightly higher impact on unemployment than their counterparts from the science/technology disciplines in the short run in Uganda; with both groups of graduates having no significant effect on unemployment in the long run.Â

Suggested Citation

  • Victoria Kakooza & Robert Wamala & James Wokadala & Thomas Bwire, 2019. "Do Graduates from Arts-Related Disciplines have a Higher Impact on Unemployment than Graduates from the Science-Related Disciplines?," International Journal of Higher Education, Sciedu Press, vol. 8(4), pages 1-52, August.
    • Handle: RePEc:jfr:ijhe11:v:8:y:2019:i:4:p:52
    as

    Download full text from publisher

    File URL: https://www.sciedupress.com/journal/index.php/ijhe/article/download/15797/9838
    Download Restriction: no
    File URL: https://www.sciedupress.com/journal/index.php/ijhe/article/view/15797
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Joseph G. Altonji & Lisa B. Kahn & Jamin D. Speer, 2016. "Cashier or Consultant? Entry Labor Market Conditions, Field of Study, and Career Success," Journal of Labor Economics, University of Chicago Press, vol. 34(S1), pages 361-401.
    2. Daron Acemoglu & Philippe Aghion & Fabrizio Zilibotti, 2006. "Distance to Frontier, Selection, and Economic Growth," Journal of the European Economic Association, MIT Press, vol. 4(1), pages 37-74, March.
    3. Lee, Kye Woo & Chung, Miyeon, 2015. "Enhancing the link between higher education and employment," International Journal of Educational Development, Elsevier, vol. 40(C), pages 19-27.
    4. Jérôme Vandenbussche & Philippe Aghion & Costas Meghir, 2006. "Growth, distance to frontier and composition of human capital," Journal of Economic Growth, Springer, vol. 11(2), pages 97-127, June.
    5. Li, Shi & Whalley, John & Xing, Chunbing, 2014. "China's higher education expansion and unemployment of college graduates," China Economic Review, Elsevier, vol. 30(C), pages 567-582.
    6. Walter, Odongo & Stephen, Wamala Kalule & Enos, Katya Kule & Elly, Ndyomugyenyi & Duncan, Ongeng, 2017. "Responsiveness of agricultural training curricula in African universities to labour market needs: the case of Gulu University in Uganda," African Journal of Rural Development (AFJRD), AFrican Journal of Rural Development (AFJRD), vol. 2(1), March.
    7. Andreea Mirica, 2014. "Higher Education – A Solution To Unemployment? Case Study: Romania," Romanian Statistical Review, Romanian Statistical Review, vol. 62(3), pages 63-75, September.
    8. Briana Sell Stenard & Henry Sauermann, 2016. "Educational Mismatch, Work Outcomes, and Entry Into Entrepreneurship," Organization Science, INFORMS, vol. 27(4), pages 801-824, August.
    9. Jaison R. Abel & Richard Deitz & Yaquin Su, 2014. "Are recent college graduates finding good jobs?," Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 20.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kong, Dongmin & Zhang, Bohui & Zhang, Jian, 2022. "Higher education and corporate innovation," Journal of Corporate Finance, Elsevier, vol. 72(C).
    2. Marattin, Luigi & Marzo, Massimiliano & Zagaglia, Paolo, 2013. "Distortionary tax instruments and implementable monetary policy," International Review of Economics & Finance, Elsevier, vol. 25(C), pages 219-243.
    3. V. Vandenberghe, 2018. "The Contribution of Educated Workers to Firms’ Efficiency Gains: The Key Role of Proximity to the ‘Local’ Frontier," De Economist, Springer, vol. 166(3), pages 259-283, September.
    4. Jaison R. Abel & Richard Deitz, 2017. "Underemployment in the Early Careers of College Graduates following the Great Recession," NBER Chapters, in: Education, Skills, and Technical Change: Implications for Future US GDP Growth, pages 149-181, National Bureau of Economic Research, Inc.
    5. Camilla Mastromarco & Léopold Simar, 2021. "Latent heterogeneity to evaluate the effect of human capital on world technology frontier," Journal of Productivity Analysis, Springer, vol. 55(2), pages 71-89, April.
    6. Henry van der Wiel & Harold Creusen & George van Leeuwen & Eugene Van der Pijll, 2012. "The Dutch Productivity Performance: Cross Your Border and Look Around," Chapters, in: Matilde Mas & Robert Stehrer (ed.), Industrial Productivity in Europe, chapter 14, Edward Elgar Publishing.
    7. Aghion, Philippe & Akcigit, Ufuk & Howitt, Peter, 2014. "What Do We Learn From Schumpeterian Growth Theory?," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 2, chapter 0, pages 515-563, Elsevier.
    8. Di Maria, C. & Stryszowski, P.K., 2006. "Brain Drain and Distance to Frontier," Other publications TiSEM 01abb5e7-e9ce-4d85-8bc3-5, Tilburg University, School of Economics and Management.
    9. Polterovich, Victor & Tonis, Alexander, 2014. "Absorptive Capacity and Innovative Capability: An Approach to Estimation," MPRA Paper 56855, University Library of Munich, Germany.
    10. Robert C. Feenstra & Alan Heston & Marcel P. Timmer & Haiyan Deng, 2009. "Estimating Real Production and Expenditures across Nations: A Proposal for Improving the Penn World Tables," The Review of Economics and Statistics, MIT Press, vol. 91(1), pages 201-212, February.
    11. Zainab Asif & Radhika Lahiri, 2021. "Dimensions of human capital and technological diffusion," Empirical Economics, Springer, vol. 60(2), pages 941-967, February.
    12. Gong, Gang, 2016. "Two Stages of Economic Development," ADBI Working Papers 628, Asian Development Bank Institute.
    13. Yuan, Min & Chen, Wenjun & Qin, Jialiang, 2021. "Bank-based financing and catch-up innovation: A three-way interaction approach," Economics Letters, Elsevier, vol. 209(C).
    14. Böckerman, Petri & Eero, Lehto & Huovari, Janne, 2008. "The return to the technological frontier: The conditional effect of plants’ R&D on their productivity in Finnish manufacturing," MPRA Paper 8715, University Library of Munich, Germany.
    15. Joseph P. H. Fan & Randall Morck & Bernard Yeung, 2012. "Translating Market Socialism with Chinese Characteristics into Sustained Prosperity," NBER Chapters, in: Capitalizing China, pages 1-32, National Bureau of Economic Research, Inc.
    16. Keiichi Kishi, 2015. "Dynamic analysis of wage inequality and creative destruction," Journal of Economics, Springer, vol. 115(1), pages 1-23, May.
    17. Amable, Bruno & Ledezma, Ivan & Robin, Stéphane, 2016. "Product market regulation, innovation, and productivity," Research Policy, Elsevier, vol. 45(10), pages 2087-2104.
    18. Adrian Palacios-Mateo, 2023. "Education and household decision-making in Spanish mining communities, 1877–1924," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 17(2), pages 301-340, May.
    19. Rosa Bernardini Papalia & Silvia Bertarelli, 2013. "Nonlinearities in economic growth and club convergence," Empirical Economics, Springer, vol. 44(3), pages 1171-1202, June.
    20. Moraes, Ricardo Kalil & Wanke, Peter Fernandes & Faria, João Ricardo, 2021. "Unveiling the endogeneity between social-welfare and labor efficiency: Two-stage NDEA neural network approach," Socio-Economic Planning Sciences, Elsevier, vol. 77(C).

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jfr:ijhe11:v:8:y:2019:i:4:p:52. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sciedu Press (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.