IDEAS home Printed from https://ideas.repec.org/a/fru/finjrn/230403p43-62.html
   My bibliography  Save this article

Monetary Poverty and Education in Russia

Author

Listed:
  • Boris I. Alekhin

    (Moscow, Russian Federation)

Abstract

Russian economic literature on poverty abounds with empirically unsupported assertions about the positive relationship between education and living standards. The purpose of this study is to find empirical evidence of this relationship using panel data for 82 regions of the Russian Federation for 2000–2021. We applied a dynamic OLS estimator to estimate a panel cointegrating equation and found strong negative and statistically significant dependence of indicators of absolute and relative monetary poverty on the highest level of education of the regional working-age population. We also performed the Dumitrescu-Hurlin pairwise causality test, which shows that higher education does not homogeneously cause more absolute monetary poverty, but more absolute monetary poverty does homogeneously cause better education as people try to avoid poverty by raising their educational level. The results of these econometric procedures suggest that the purpose of the study has been achieved.

Suggested Citation

  • Boris I. Alekhin, 2023. "Monetary Poverty and Education in Russia," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 4, pages 43-62, August.
    • Handle: RePEc:fru:finjrn:230403:p:43-62
    DOI: 10.31107/2075-1990-2023-4-43-62
    as

    Download full text from publisher

    File URL: https://www.finjournal-nifi.ru/images/FILES/Journal/Archive/2023/4/staii/03_4_2023_v15.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.31107/2075-1990-2023-4-43-62?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. Dumitrescu, Elena-Ivona & Hurlin, Christophe, 2012. "Testing for Granger non-causality in heterogeneous panels," Economic Modelling, Elsevier, vol. 29(4), pages 1450-1460.
    2. Nicola Gennaioli & Rafael La Porta & Florencio Lopez-de-Silanes & Andrei Shleifer, 2013. "Human Capital and Regional Development," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(1), pages 105-164.
    3. 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.
    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. Muntasir Murshed & Seemran Rashid, 2020. "An Empirical Investigation of Real Exchange Rate Responses to Foreign Currency Inflows: Revisiting the Dutch Disease Phenomenon in South Asia," The Economics and Finance Letters, Conscientia Beam, vol. 7(1), pages 23-46.
    2. Muhammad Shahbaz & Syed Jawad Hussain Shahzad & Mantu Kumar Mahalik & Perry Sadorsky, 2018. "How strong is the causal relationship between globalization and energy consumption in developed economies? A country-specific time-series and panel analysis," Applied Economics, Taylor & Francis Journals, vol. 50(13), pages 1479-1494, March.
    3. Khribich, Abir & Kacem, Rami H. & Dakhlaoui, Ahlem, 2021. "Causality nexus of renewable energy consumption and social development: Evidence from high-income countries," Renewable Energy, Elsevier, vol. 169(C), pages 14-22.
    4. Francisco García-Lillo & Eduardo Sánchez-García & Bartolomé Marco-Lajara & Pedro Seva-Larrosa, 2023. "Renewable Energies and Sustainable Development: A Bibliometric Overview," Energies, MDPI, vol. 16(3), pages 1-22, January.
    5. Magazzino, Cosimo & Drago, Carlo & Schneider, Nicolas, 2023. "Evidence of supply security and sustainability challenges in Nigeria’s power sector," Utilities Policy, Elsevier, vol. 82(C).
    6. Chakraborty, Saptorshee Kanto & Mazzanti, Massimiliano, 2021. "Renewable electricity and economic growth relationship in the long run: Panel data econometric evidence from the OECD," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 330-341.
    7. Joseph Mawejje & Nicholas M. Odhiambo, 2022. "Macroeconomic determinants of fiscal policy in East Africa: a panel causality analysis," Journal of Economics, Finance and Administrative Science, Emerald Group Publishing Limited, vol. 27(53), pages 105-123, February.
    8. Herzer, Dierk & Nunnenkamp, Peter, 2015. "Income inequality and health: Evidence from developed and developing countries," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 9, pages 1-56.
    9. Rajesh Sharma & Samaresh Bardhan, 2017. "Finance growth nexus across Indian states: evidences from panel cointegration and causality tests," Economic Change and Restructuring, Springer, vol. 50(1), pages 1-20, February.
    10. Ngwinui Belinda Azenui, 2024. "Why is Labor in the SSA LDCs Moving from One Low Productivity Sector to Another?," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 36(1), pages 216-242, February.
    11. Singh, Vinay Kumar & Ghosh, Sajal, 2021. "Financial inclusion and economic growth in India amid demonetization: A case study based on panel cointegration and causality," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 674-693.
    12. Siamand Hesami & Bezhan Rustamov & Husam Rjoub & Wing-Keung Wong, 2020. "Implications of Oil Price Fluctuations for Tourism Receipts: The Case of Oil Exporting Countries," Energies, MDPI, vol. 13(17), pages 1-17, August.
    13. Liu, Dongwang & Yang, Ziqi, 2024. "Asymmetric linkages among fintech, oil prices, governance, and growth in Southeast Asian economies," Resources Policy, Elsevier, vol. 88(C).
    14. Amba Oyon Claude Marius & Taoufiki Mbratana & Kane Gilles Quentin, 2017. "Assessing the current account sustainability in ECCAS economies: A dual cointegration analysis," Economics Bulletin, AccessEcon, vol. 37(3), pages 1873-1894.
    15. Muhammad Shafiullah & Faridul Islam & Ravinthirakumaran Navaratnam, 2020. "The Harberger–Laursen–Metzler effect: evidence from five SAARC countries," Empirical Economics, Springer, vol. 58(4), pages 1749-1777, April.
    16. Saša Obradoviæ & Nemanja Lojanica & Olivera Jankoviæ, 2016. "The influence of economic growth on regional disparities: Empirical evidence from OECD countries," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 34(1), pages 161-186.
    17. Mohammed Musah, 2023. "Stock market development and environmental quality in EU member countries: a dynamic heterogeneous approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 11153-11187, October.
    18. Akram, Vaseem & Rath, Badri Narayan, 2020. "What do we know about fiscal sustainability across Indian states?," Economic Modelling, Elsevier, vol. 87(C), pages 307-321.
    19. Zhang, Chunhong & Khan, Irfan & Dagar, Vishal & Saeed, Asif & Zafar, Muhammad Wasif, 2022. "Environmental impact of information and communication technology: Unveiling the role of education in developing countries," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    20. Hatemi-J, Abdulnasser, 2020. "Asymmetric Panel Causality Tests with an Application to the Impact of Fiscal Policy on Economic Performance in Scandinavia," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 73(3), pages 389-404.

    More about this item

    Keywords

    monetary poverty; education; cointegration; region; Russia;
    All these keywords.

    JEL classification:

    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

    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:fru:finjrn:230403:p:43-62. 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: Gennady Ageev (email available below). General contact details of provider: https://edirc.repec.org/data/frigvru.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.