IDEAS home Printed from https://ideas.repec.org/a/adf/journl/y2022id1436.html
   My bibliography  Save this article

Institutions of Higher Education in the Russian Federation: Budgetary and Private Impact of Education at the University Level

Author

Listed:
  • S. Parandekar

  • A. Volgin

Abstract

This article considers at the university level the graduates’ income information, as well as budgetary and private cost estimates to determine budgetary and private impact of education using the calculation of internal rate of return. Since the graduates’ income information is available for only three-year period after the graduation, the synthetic profile of the graduates’ income during their lives is constructed according to the regional microdata. Results of the calculation show that the average impact of higher education is about 9 %, which is consistent with other estimates. In addition to list of universities indicating their impact, the article presents conclusions and recommendations, based on the analysis of the impact’s types and the correlation with other parameters, particularly with Unified State Examination scores for entry into higher education. The article’s value consists in demonstration of the possible approach for estimates, considering impact of investment in higher education at the university, faculty or department level. Researchers of the future can build on methodology and estimates, presented in this article, to obtain more accurate and reliable data on private impact of investment in higher education.

Suggested Citation

  • S. Parandekar & A. Volgin, 2022. "Institutions of Higher Education in the Russian Federation: Budgetary and Private Impact of Education at the University Level," University Management: Practice and Analysis, Federal State Autonomous Educational Institution of Higher Education «Ural Federal University named after the first President of Russia B.N.Yeltsin»; Non-Commercial Partnership “University Management: Practice and, vol. 25(4).
    • Handle: RePEc:adf:journl:y:2022:id:1436
    DOI: 10.15826/umpa.2021.04.022
    as

    Download full text from publisher

    File URL: https://www.umj.ru/jour/article/viewFile/1436/1121
    Download Restriction: no
    File URL: https://libkey.io/10.15826/umpa.2021.04.022?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. David Deming & Lisa B. Kahn, 2018. "Skill Requirements across Firms and Labor Markets: Evidence from Job Postings for Professionals," Journal of Labor Economics, University of Chicago Press, vol. 36(S1), pages 337-369.
    2. Yu-Chien Kong & B. Ravikumar, 2012. "Earnings growth over a lifetime: not what it used to be," The Regional Economist, Federal Reserve Bank of St. Louis, April.
    3. Hanushek, Eric A. & Schwerdt, Guido & Wiederhold, Simon & Woessmann, Ludger, 2015. "Returns to skills around the world: Evidence from PIAAC," European Economic Review, Elsevier, vol. 73(C), pages 103-130.
    4. Christopher Tamborini & ChangHwan Kim & Arthur Sakamoto, 2015. "Education and Lifetime Earnings in the United States," Demography, Springer;Population Association of America (PAA), vol. 52(4), pages 1383-1407, August.
    5. Polachek,Solomon W. & Siebert,W. Stanley, 1993. "The Economics of Earnings," Cambridge Books, Cambridge University Press, number 9780521367288, November.
    6. Mair, Patrick & Hatzinger, Reinhold, 2007. "Extended Rasch Modeling: The eRm Package for the Application of IRT Models in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 20(i09).
    7. Walter W. McMahon, 2004. "The Social and External Benefits of Education," Chapters, in: Geraint Johnes & Jill Johnes (ed.), International Handbook on the Economics of Education, chapter 6, Edward Elgar Publishing.
    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. Ziegler, Lennart, 2021. "Skill Demand and Wages. Evidence from Linked Vacancy Data," IZA Discussion Papers 14511, Institute of Labor Economics (IZA).
    2. Eggenberger, Christian & Backes-Gellner, Uschi, 2023. "IT skills, occupation specificity and job separations," Economics of Education Review, Elsevier, vol. 92(C).
    3. Simon Wiederhold & Christina Langer, 2023. "The Value of Early-Career Skills," Growth Lab Working Papers 204, Harvard's Growth Lab.
    4. Schoner, Florian & Mergele, Lukas & Zierow, Larissa, 2024. "Grading student behavior," Labour Economics, Elsevier, vol. 90(C).
    5. Lennart Ziegler, 2020. "Skill Demand and Posted Wages. Evidence from Online Job Ads in Austria," Vienna Economics Papers 2002, University of Vienna, Department of Economics.
    6. Lennart Ziegler, 2020. "Skill Demand and Posted Wages. Evidence from Online Job Ads in Austria," Vienna Economics Papers vie2002, University of Vienna, Department of Economics.
    7. László Czaller & Zoltán Hermann, 2022. "Return to skills and urban size: Evidence from the skill requirements of Hungarian firms," CERS-IE WORKING PAPERS 2205, Institute of Economics, Centre for Economic and Regional Studies.
    8. Yela Aránega, Alba & Del Val Núñez, Mª Teresa & Castaño Sánchez, Rafael, 2020. "Mindfulness as an intrapreneurship tool for improving the working environment and self-awareness," Journal of Business Research, Elsevier, vol. 115(C), pages 186-193.
    9. Goel, Deepti & Barooah, Bidisha, 2018. "Drivers of Student Performance: Evidence from Higher Secondary Public Schools in Delhi," GLO Discussion Paper Series 231, Global Labor Organization (GLO).
    10. Park, Yoonsoo, 2022. "Does Learning Matter for Wages in Korea? International Comparison of Wage Returns to Adult Education and Training," KDI Journal of Economic Policy, Korea Development Institute (KDI), vol. 44(2), pages 29-44.
    11. P. Allanson & J. Atkins & T. Hinks, 2000. "A Multilateral Decomposition of Racial Wage Differentials in the 1994 South African Labour Market," Journal of Development Studies, Taylor & Francis Journals, vol. 37(1), pages 93-120, October.
    12. Cullen, Julie Berry & Dahl, Gordon B. & De Thorpe, Richard, 2025. "Job Mismatch and Early Career Success," IZA Discussion Papers 18098, Institute of Labor Economics (IZA).
    13. George J Borjas & Ilpo Kauppinen & Panu Poutvaara, 2019. "Self-selection of Emigrants: Theory and Evidence on Stochastic Dominance in Observable and Unobservable Characteristics," The Economic Journal, Royal Economic Society, vol. 129(617), pages 143-171.
    14. Eliana Carranza & Robert Garlick & Kate Orkin & Neil Rankin, 2020. "Job Search and Hiring with Two-sided Limited Information about Workseekers’ Skills," CSAE Working Paper Series 2020-10, Centre for the Study of African Economies, University of Oxford.
    15. Azar, José & Alekseeva, Liudmila & Gine, Mireia & Samila, Sampsa & Taska, Bledi, 2020. "The Demand for AI Skills in the Labor Market," CEPR Discussion Papers 14320, C.E.P.R. Discussion Papers.
    16. Arthur Turrell & Bradley Speigner & Jyldyz Djumalieva & David Copple & James Thurgood, 2019. "Transforming Naturally Occurring Text Data into Economic Statistics: The Case of Online Job Vacancy Postings," NBER Chapters, in: Big Data for Twenty-First-Century Economic Statistics, pages 173-207, National Bureau of Economic Research, Inc.
    17. Isphording, Ingo E. & Piopiunik, Marc & Rodríguez-Planas, Núria, 2016. "Speaking in numbers: The effect of reading performance on math performance among immigrants," Economics Letters, Elsevier, vol. 139(C), pages 52-56.
    18. Stefano Gagliarducci & Marco Manacorda, 2020. "Politics in the Family: Nepotism and the Hiring Decisions of Italian Firms," American Economic Journal: Applied Economics, American Economic Association, vol. 12(2), pages 67-95, April.
    19. Joachim Merz & Tim Rathjen, 2011. "Intensity of Time and Income Interdependent Multidimensional Poverty: Well-Being and Minimum 2DGAP ; German Evidence," SOEPpapers on Multidisciplinary Panel Data Research 411, DIW Berlin, The German Socio-Economic Panel (SOEP).
    20. Berlingieri, Francesco & Zierahn, Ulrich, 2014. "Field of study, qualification mismatch, and wages: Does sorting matter?," ZEW Discussion Papers 14-076, ZEW - Leibniz Centre for European Economic Research.

    More about this item

    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:adf:journl:y:2022:id:1436. 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: Ð ÐµÐ´Ð°ÐºÑ†Ð¸Ñ (email available below). General contact details of provider: .

    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.