IDEAS home Printed from https://ideas.repec.org/a/aiy/journl/v2y2016i2p236-244.html
   My bibliography  Save this article

Economic Motivations for Master's Students' Choice of Educational, Scientific and Professional Trajectories

Author

Listed:
  • Sandler, D. G.
  • Sushchenko, A. D.

Abstract

The article examines the motivations for Master’s students’ choice of individual trajectories. In the course of their studies, the students’ trajectories have educational, scienti c and professional aspects. These trajectories determine the system of interaction between students and other participants in the educational process within the university framework (academic staff and other students) and outside it (employers, Russian and foreign researchers). Individual trajectories of Master’s students can be studied from the theoretical point of view, by following the formation and development of these trajectories, and from the practical point of view, focusing on how investments in Master’s students can enhance professional competencies of specialists on the regional labour market. The authors have analyzed the master’s students’ individual trajectories on the basis of monitoring data obtained from the survey carried out in February and December 2014. The students were asked to describe their expectations, including economic ones, and experience of pursuing their Master’s degrees. The research results have shown that the biggest discrepancy between the expectations and the actual experience of Master’s students lay in the sphere of their research trajectories and their participation in internationalization processes. The analysis of students’ expectations is important since it allows us to improve Master’s programs, to provide the labour market with highly quali ed specialists, and to increase the ef ciency of state investments into the human capital.

Suggested Citation

  • Sandler, D. G. & Sushchenko, A. D., 2016. "Economic Motivations for Master's Students' Choice of Educational, Scientific and Professional Trajectories," R-Economy, Ural Federal University, Graduate School of Economics and Management, vol. 2(2), pages 236-244.
  • Handle: RePEc:aiy:journl:v:2:y:2016:i:2:p:236-244
    DOI: 10.15826/recon.2016.2.2.021
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10995/47021
    Download Restriction: no

    File URL: https://libkey.io/10.15826/recon.2016.2.2.021?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Gary S. Becker, 1962. "Investment in Human Capital: A Theoretical Analysis," NBER Chapters, in: Investment in Human Beings, pages 9-49, National Bureau of Economic Research, Inc.
    2. Viktor Koksharov & Gavriil Agarkov, 2015. "Analysis Of Economic Motivation When Individuals Choose An Educational Path," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(1), pages 246-252.
    3. John Jerrim, 2015. "Do college students make better predictions of their future income than young adults in the labor force?," Education Economics, Taylor & Francis Journals, vol. 23(2), pages 162-179, April.
    4. Keane, Michael P & Wolpin, Kenneth I, 1997. "The Career Decisions of Young Men," Journal of Political Economy, University of Chicago Press, vol. 105(3), pages 473-522, June.
    5. John Jerrim, 2011. "Do UK Higher Education Students Overestimate Their Starting Salary?," Fiscal Studies, Institute for Fiscal Studies, vol. 32(4), pages 483-509, December.
    6. Basit Zafar, 2011. "How Do College Students Form Expectations?," Journal of Labor Economics, University of Chicago Press, vol. 29(2), pages 301-348.
    7. Leonard, Jonathan S, 1982. "Wage Expectations in the Labor Market: Survey Evidence on Rationality," The Review of Economics and Statistics, MIT Press, vol. 64(1), pages 157-161, February.
    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. Daniil Sandler & Anastasia Sushchenko Anastasia Dmitrievna, 2016. "Economic Motivations for Master’s Students’ Choice of Educational, Scientific and Professional Trajectories," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(2), pages 547-559.
    2. Koksharov, V. A. & Agarkov, G. A., 2015. "Analysis of Economic Motives in the Individual Choice of Educational Paths," R-Economy, Ural Federal University, Graduate School of Economics and Management, vol. 1(1), pages 153-159.
    3. Jones, Sam & Santos, Ricardo, 2022. "Can information correct optimistic wage expectations? Evidence from Mozambican job-seekers," Journal of Development Economics, Elsevier, vol. 159(C).
    4. Schweri, Juerg & Hartog, Joop, 2017. "Do wage expectations predict college enrollment? Evidence from healthcare," Journal of Economic Behavior & Organization, Elsevier, vol. 141(C), pages 135-150.
    5. Pamela Giustinelli, 2022. "Expectations in Education: Framework, Elicitation, and Evidence," Working Papers 2022-026, Human Capital and Economic Opportunity Working Group.
    6. Gavriil Agarkov & Daniil Sandler & Anastasia Sushchenko Anastasia Dmitrievna, 2018. "Financial and Social Success of University Graduates in the Ural Region," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(4), pages 1312-1326.
    7. Sam Jones & Ricardo Santos & Gimelgo Xirinda, 2020. "Misinformed, mismatched, or misled?: Explaining the gap between expected and realized graduate earnings in Mozambique," WIDER Working Paper Series wp-2020-47, World Institute for Development Economic Research (UNU-WIDER).
    8. Fossen, Frank M. & Glocker, Daniela, 2017. "Stated and revealed heterogeneous risk preferences in educational choice," European Economic Review, Elsevier, vol. 97(C), pages 1-25.
    9. Xia, Xiaoyu, 2016. "Forming wage expectations through learning: Evidence from college major choices," Journal of Economic Behavior & Organization, Elsevier, vol. 132(PA), pages 176-196.
    10. Avner Ahituv & Marta Tienda, 2004. "Employment, Motherhood, and School Continuation Decisions of Young White, Black, and Hispanic Women," Journal of Labor Economics, University of Chicago Press, vol. 22(1), pages 115-158, January.
    11. Michael P. Keane, 2015. "Effects Of Permanent And Transitory Tax Changes In A Life‐Cycle Labor Supply Model With Human Capital," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56, pages 485-503, May.
    12. Pamela Giustinelli & Charles F. Manski, 2018. "Survey Measures Of Family Decision Processes For Econometric Analysis Of Schooling Decisions," Economic Inquiry, Western Economic Association International, vol. 56(1), pages 81-99, January.
    13. Michael P. Keane, 2015. "Effects Of Permanent And Transitory Tax Changes In A Life‐Cycle Labor Supply Model With Human Capital," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(2), pages 485-503, May.
    14. Backes-Gellner, Uschi & Herz, Holger & Kosfeld, Michael & Oswald, Yvonne, 2021. "Do preferences and biases predict life outcomes? Evidence from education and labor market entry decisions," European Economic Review, Elsevier, vol. 134(C).
    15. John Jerrim, 2015. "Do college students make better predictions of their future income than young adults in the labor force?," Education Economics, Taylor & Francis Journals, vol. 23(2), pages 162-179, April.
    16. Matsuda, Kazushige, 2020. "Optimal timing of college subsidies: Enrollment, graduation, and the skill premium," European Economic Review, Elsevier, vol. 129(C).
    17. Michael P. Keane, 2016. "Life‐cycle Labour Supply with Human Capital: Econometric and Behavioural Implications," Economic Journal, Royal Economic Society, vol. 0(592), pages 546-577, May.
    18. Arpita Patnaik & Matthew J. Wiswall & Basit Zafar, 2020. "College Majors," NBER Working Papers 27645, National Bureau of Economic Research, Inc.
    19. Josh Kinsler & Ronni Pavan, 2015. "The Specificity of General Human Capital: Evidence from College Major Choice," Journal of Labor Economics, University of Chicago Press, vol. 33(4), pages 933-972.
    20. Stefan Klößner & Gregor Pfeifer, 2019. "The Importance of Tax Adjustments When Evaluating Wage Expectations," Scandinavian Journal of Economics, Wiley Blackwell, vol. 121(2), pages 578-605, April.

    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:aiy:journl:v:2:y:2016:i:2:p:236-244. 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: Irina Turgel (email available below). General contact details of provider: https://edirc.repec.org/data/seurfru.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.