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. Mathilde Aubry & Jean Bonnet & Patricia Renou-Maissant, 2015. "Entrepreneurship and the business cycle: the “Schumpeter” effect versus the “refugee” effect—a French appraisal based on regional data," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(1), pages 23-55, January.
    4. 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.
    5. 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.
    6. 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).
    7. 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.
    8. 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.
    9. 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.
    10. Huawei, Tian, 2022. "Does gross domestic product, inflation, total investment, and exchanges rate matter in natural resources commodity prices volatility," Resources Policy, Elsevier, vol. 79(C).
    11. 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.
    12. 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.
    13. 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.
    14. Edmore Mahembe & Nicholas Mbaya Odhiambo, 2019. "Foreign aid, poverty and economic growth in developing countries: A dynamic panel data causality analysis," Cogent Economics & Finance, Taylor & Francis Journals, vol. 7(1), pages 1626321-162, January.
    15. 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.
    16. Angeliki N. Menegaki, 2019. "The ARDL Method in the Energy-Growth Nexus Field; Best Implementation Strategies," Economies, MDPI, vol. 7(4), pages 1-16, October.
    17. Liu, Dongwang & Yang, Ziqi, 2024. "Asymmetric linkages among fintech, oil prices, governance, and growth in Southeast Asian economies," Resources Policy, Elsevier, vol. 88(C).
    18. Mathilde Aubry & Jean Bonnet & Patricia Renou-Maissant, 2014. "Cycle économique et comportement entrepreneurial sur données régionales françaises," Revue d'économie régionale et urbaine, Armand Colin, vol. 0(4), pages 643-675.
    19. Allauddin Kakar & Anwar Khan & Akbar Khan, 2024. "Analyzing the Role of Governance, ICT, and Urbanization on Environment in South Asian Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 2682-2703, March.
    20. Furuoka, Fumitaka, 2015. "Financial development and energy consumption: Evidence from a heterogeneous panel of Asian countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 430-444.

    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.