IDEAS home Printed from https://ideas.repec.org/p/osf/socarx/kbc34.html
   My bibliography  Save this paper

The International Monetary Fund’s intervention in education systems and its impact on children’s chances of completing school

Author

Listed:
  • Daoud, Adel

Abstract

Enabling children to acquire an education is one of the most effective means to reduce inequality, poverty, and ill-health globally. While in normal times a government controls its educational policies, during times of macroeconomic instability, that control may shift to supporting international organizations, such as the International Monetary Fund (IMF). While much research has focused on which sectors has been affected by IMF policies, scholars have devoted little attention to the policy content of IMF interventions affecting the education sector and children’s education outcomes: denoted IMF-education policies. This article evaluates the extent which IMF-education policies exist in all programs and how these policies and IMF programs affect children’s likelihood of completing schools. While IMF-education policies have a small adverse effect yet statistically insignificant on children’s probability of completing school, these policies moderate effect heterogeneity for IMF programs. The effect of IMF programs (joint set of policies) adversely effect children’s chances of completing school by six percentage points. By analyzing how IMF-education policies but also how IMF programs affect the education sector in low- and middle-income countries, scholars will gain a deeper understanding of how such policies will likely affect downstream outcomes.

Suggested Citation

  • Daoud, Adel, 2021. "The International Monetary Fund’s intervention in education systems and its impact on children’s chances of completing school," SocArXiv kbc34, Center for Open Science.
    • Handle: RePEc:osf:socarx:kbc34
    DOI: 10.31219/osf.io/kbc34
    as

    Download full text from publisher

    File URL: https://osf.io/download/61ce372472da2309f9bf9532/
    Download Restriction: no
    File URL: https://libkey.io/10.31219/osf.io/kbc34?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. Joseph STIGLITZ, 2013. "The global crisis, social protection and jobs," International Labour Review, International Labour Organization, vol. 152, pages 93-106, January.
    2. International Monetary Fund, 2003. "Mali: Sixth Review Under the Poverty Reduction and Growth Facility," IMF Staff Country Reports 2003/246, International Monetary Fund.
    3. Imad A. Moosa & Nisreen Moosa, 2019. "Eliminating the IMF," Springer Books, Springer, number 978-3-030-05761-9, December.
    4. Victor Chernozhukov & Whitney K. Newey & James Robins, 2018. "Double/de-biased machine learning using regularized Riesz representers," CeMMAP working papers CWP15/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Alexander E. Kentikelenis & Thomas H. Stubbs & Lawrence P. King, 2016. "IMF conditionality and development policy space, 1985–2014," Review of International Political Economy, Taylor & Francis Journals, vol. 23(4), pages 543-582, July.
    6. Susan Athey & Guido W. Imbens, 2017. "The State of Applied Econometrics: Causality and Policy Evaluation," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 3-32, Spring.
    7. Adel Daoud, 2010. "Robbins and Malthus on Scarcity, Abundance, and Sufficiency," American Journal of Economics and Sociology, Wiley Blackwell, vol. 69(4), pages 1206-1229, October.
    8. Christoph Moser & Jan-Egbert Sturm, 2011. "Explaining IMF lending decisions after the Cold War," The Review of International Organizations, Springer, vol. 6(3), pages 307-340, September.
    9. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    10. Angus Deaton, 2015. "The Great Escape: Health, Wealth, and the Origins of Inequality," Economics Books, Princeton University Press, edition 1, number 10054.
    11. International Monetary Fund, 2003. "Pakistan: Fourth Review Under the Three-Year Arrangement Under the Poverty Reduction and Growth Facility and Request for Waiver of Performance Criterion," IMF Staff Country Reports 2003/054, International Monetary Fund.
    12. International Monetary Fund, 2003. "Albania: Second Review Under the Three-Year Arrangement Under the Poverty Reduction and Growth Facility," IMF Staff Country Reports 2003/218, International Monetary Fund.
    13. International Monetary Fund, 2003. "Islamic Republic of Mauritania: Staff Report for the 2003 Article IV Consultation, and Request for a Three-Year Arrangement Under the Poverty Reduction and Growth Facility," IMF Staff Country Reports 2003/314, International Monetary Fund.
    14. Halleröd, Björn & Rothstein, Bo & Daoud, Adel & Nandy, Shailen, 2013. "Bad Governance and Poor Children: A Comparative Analysis of Government Efficiency and Severe Child Deprivation in 68 Low- and Middle-income Countries," World Development, Elsevier, vol. 48(C), pages 19-31.
    15. Daoud, Adel & Kim, Rockli & Subramanian, S.V., 2019. "Predicting women's height from their socioeconomic status: A machine learning approach," Social Science & Medicine, Elsevier, vol. 238(C), pages 1-1.
    16. Daoud, Adel, 2018. "Unifying Studies of Scarcity, Abundance, and Sufficiency," Ecological Economics, Elsevier, vol. 147(C), pages 208-217.
    17. International Monetary Fund, 2003. "Republic of Tajikistan: Staff Report for the 2002 Article IV Consultation and Request for a Three-Year Arrangement Under the Poverty Reduction and Growth Facility," IMF Staff Country Reports 2003/010, International Monetary Fund.
    18. Sendhil Mullainathan & Jann Spiess, 2017. "Machine Learning: An Applied Econometric Approach," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 87-106, Spring.
    19. International Monetary Fund, 2003. "Republic of Armenia: Fourth Review under the Poverty Reduction and Growth Facility and Request for Waiver of Performance Criterion," IMF Staff Country Reports 2003/379, International Monetary Fund.
    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. Adel Daoud, 2021. "The International Monetary Funds intervention in education systems and its impact on childrens chances of completing school," Papers 2201.00013, arXiv.org.
    2. Thomas Stubbs & Bernhard Reinsberg & Alexander Kentikelenis & Lawrence King, 2020. "How to evaluate the effects of IMF conditionality," The Review of International Organizations, Springer, vol. 15(1), pages 29-73, January.
    3. Daoud, Adel & Reinsberg, Bernhard & Kentikelenis, Alexander E. & Stubbs, Thomas H. & King, Lawrence P., 2019. "The International Monetary Fund’s interventions in food and agriculture: An analysis of loans and conditions," Food Policy, Elsevier, vol. 83(C), pages 204-218.
    4. Daoud, Adel & Herlitz, Anders & Subramanian, S.V., 2022. "IMF fairness: Calibrating the policies of the International Monetary Fund based on distributive justice," World Development, Elsevier, vol. 157(C).
    5. Daoud, Adel & Johansson, Fredrik, 2019. "Estimating Treatment Heterogeneity of International Monetary Fund Programs on Child Poverty with Generalized Random Forest," SocArXiv awfjt, Center for Open Science.
    6. Adel Daoud & Anders Herlitz & SV Subramanian, 2020. "Combining distributive ethics and causal Inference to make trade-offs between austerity and population health," Papers 2007.15550, arXiv.org, revised Aug 2020.
    7. Adel Daoud, 2020. "The wealth of nations and the health of populations: A quasi-experimental design of the impact of sovereign debt crises on child mortality," Papers 2012.14941, arXiv.org.
    8. Adel Daoud & Felipe Jordán & Makkunda Sharma & Fredrik Johansson & Devdatt Dubhashi & Sourabh Paul & Subhashis Banerjee, 2023. "Using Satellite Images and Deep Learning to Measure Health and Living Standards in India," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 167(1), pages 475-505, June.
    9. Arthur Charpentier & Emmanuel Flachaire & Antoine Ly, 2017. "Econom\'etrie et Machine Learning," Papers 1708.06992, arXiv.org, revised Mar 2018.
    10. Tsang, Andrew, 2021. "Uncovering Heterogeneous Regional Impacts of Chinese Monetary Policy," MPRA Paper 110703, University Library of Munich, Germany.
    11. Bryan T. Kelly & Asaf Manela & Alan Moreira, 2019. "Text Selection," NBER Working Papers 26517, National Bureau of Economic Research, Inc.
    12. Anthony Niblett, 2018. "Regulatory Reform in Ontario: Machine Learning and Regulation," C.D. Howe Institute Commentary, C.D. Howe Institute, issue 507, March.
    13. Fiona Carmichael & Christian K. Darko & Nicholas Vasilakos, 2022. "Well‐being and employment of young people in Ethiopia, India, Peru and Vietnam: Is work enough?," Development Policy Review, Overseas Development Institute, vol. 40(2), March.
    14. Matthias Westphal & Daniel A Kamhöfer & Hendrik Schmitz, 2022. "Marginal College Wage Premiums Under Selection Into Employment," The Economic Journal, Royal Economic Society, vol. 132(646), pages 2231-2272.
    15. Lodewijk Smets & Stephen Knack, 2016. "World Bank Lending and the Quality of Economic Policy," Journal of Development Studies, Taylor & Francis Journals, vol. 52(1), pages 72-91, January.
    16. Simon Blöthner & Mario Larch, 2022. "Economic determinants of regional trade agreements revisited using machine learning," Empirical Economics, Springer, vol. 63(4), pages 1771-1807, October.
    17. Breunig, Christoph & Grabova, Iuliia & Haan, Peter & Weinhardt, Felix & Weizsäcker, Georg, 2021. "Long-run expectations of households," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 31, pages 1-1.
    18. Isil Erel & Léa H Stern & Chenhao Tan & Michael S Weisbach, 2021. "Selecting Directors Using Machine Learning [The role of boards of directors in corporate governance: A conceptual framework and survey]," The Review of Financial Studies, Society for Financial Studies, vol. 34(7), pages 3226-3264.
    19. Stephanie J. Rickard & Teri L. Caraway, 2019. "International demands for austerity: Examining the impact of the IMF on the public sector," The Review of International Organizations, Springer, vol. 14(1), pages 35-57, March.
    20. Jonas B{aa}{aa}th & Adel Daoud, 2020. "Extending Social Resource Exchange to Events of Abundance and Sufficiency," Papers 2010.02658, arXiv.org.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:osf:socarx:kbc34. 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: OSF (email available below). General contact details of provider: https://arabixiv.org .

    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.