IDEAS home Printed from https://ideas.repec.org/p/not/notcre/12-03.html
   My bibliography  Save this paper

Determinants of Educational Attainment in Mena

Author

Listed:
  • Menshawy Badr
  • Oliver Morrissey
  • Simon Appleton

Abstract

This study examines the determinants of educational outcome in eight selected MENA countries. The complicated structure of the TIMSS data has been considered carefully during all the stages of the analysis employing plausible values and jackknife standard error technique to accommodate the measurement error of the dependant variable and the clustering of students in classes and schools. The education production functions provide broad evidence from mean and quantile analysis of very low returns to schooling; few school variables are significant and none have effects across countries and quantiles. In general, student characteristics were far more important than school factors in explaining test scores, but there was considerable variability across countries in which specific factors were significant. Strikingly, computer usage was found to influence students’ performance negatively in six MENA countries. Only Turkey and Iran had a significant positive effect of computer usage on maths achievements.

Suggested Citation

  • Menshawy Badr & Oliver Morrissey & Simon Appleton, 2012. "Determinants of Educational Attainment in Mena," Discussion Papers 12/03, University of Nottingham, CREDIT.
    • Handle: RePEc:not:notcre:12/03
    as

    Download full text from publisher

    File URL: https://www.nottingham.ac.uk/credit/documents/papers/12-03.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Menshawy Badr & Oliver Morrissey & Simon Appleton, 2012. "Gender differentials in maths test scores in Mena countries," Discussion Papers 12/04, University of Nottingham, CREDIT.
    2. T. D. Stanley, 2001. "Wheat from Chaff: Meta-analysis as Quantitative Literature Review," Journal of Economic Perspectives, American Economic Association, vol. 15(3), pages 131-150, Summer.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Iqbal Farrukh & Kiendrebeogo Youssouf, 2015. "Public Spending and Education Attainment in the Middle East and North Africa," Review of Middle East Economics and Finance, De Gruyter, vol. 11(2), pages 99-118, August.
    2. Takeda, Takaki & Lamichhane, Kamal, 2018. "Determinants of schooling and academic achievements: Comparison between children with and without disabilities in India," International Journal of Educational Development, Elsevier, vol. 61(C), pages 184-195.
    3. W. Nabiddo & B.L. Yawe & F. Wasswa, 2022. "Education attainment and household education expenditure in Uganda: An empirical investigation," Journal of Economic Policy and Management Issues, JEPMI, vol. 1(1), pages 21-49.
    4. Lamichhane, Kamal & Kawakatsu, Yoshito, 2015. "Disability and determinants of schooling: A case from Bangladesh," International Journal of Educational Development, Elsevier, vol. 40(C), pages 98-105.
    5. Gamze Sart & Yilmaz Bayar & Adrian-Gabriel Corpădean & Marius Dan Gavriletea, 2022. "Impact of ICT and Globalization on Educational Attainment: Evidence from the New EU Member States," Sustainability, MDPI, vol. 14(5), pages 1-13, March.
    6. El-Saadani, Somaya & Metwally, Soha, 2019. "Inequality of opportunity linked to disability in school enrollment among youth: Evidence from Egypt," International Journal of Educational Development, Elsevier, vol. 67(C), pages 73-84.
    7. Polcyn, Jan, 2017. "Edukacja jako dobro publiczne - próba kwantyfikacji [Education as a public good – an attempt at quantification]," MPRA Paper 76606, University Library of Munich, Germany, revised 2017.

    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. Chunyan Li & Jianmei Gao & Lanqing Ge & Weina Hu & Qi Ban, 2023. "Do Geographical Indication Products Promote the Growth of the Agricultural Economy? An Empirical Study Based on Meta-Analysis," Sustainability, MDPI, vol. 15(19), pages 1-21, October.
    2. Qian Li & Yan Chen & Shikun Sun & Muyuan Zhu & Jing Xue & Zihan Gao & Jinfeng Zhao & Yihe Tang, 2022. "Research on Crop Irrigation Schedules Under Deficit Irrigation—A Meta-analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(12), pages 4799-4817, September.
    3. Fidrmuc, Jarko & Lind, Ronja, 2020. "Macroeconomic impact of Basel III: Evidence from a meta-analysis," Journal of Banking & Finance, Elsevier, vol. 112(C).
    4. Havranek, Tomas & Irsova, Zuzana, 2011. "Estimating vertical spillovers from FDI: Why results vary and what the true effect is," Journal of International Economics, Elsevier, vol. 85(2), pages 234-244.
    5. repec:ebl:ecbull:v:3:y:2007:i:68:p:1-7 is not listed on IDEAS
    6. Melo, Patricia C. & Graham, Daniel J. & Noland, Robert B., 2009. "A meta-analysis of estimates of urban agglomeration economies," Regional Science and Urban Economics, Elsevier, vol. 39(3), pages 332-342, May.
    7. Peters, Glen, 2008. "Reassessing Carbon Leakage," Conference papers 331753, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    8. Ionela Ursu & Iuliana Georgescu, 2022. "Planning With Or Without Budgets? The €Œnew Controlling†Approach," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 30, pages 105-118, December.
    9. Klomp, Jeroen, 2023. "Political budget cycles in military expenditures: A meta-analysis," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 1083-1102.
    10. Ebersberger, Bernd & Edler, Jakob & Lo, Vivien, 2006. "Improving policy understanding by means of secondary analyses of policy evaluation: a concept development," Discussion Papers "Innovation Systems and Policy Analysis" 12, Fraunhofer Institute for Systems and Innovation Research (ISI).
    11. Neves, Pedro Cunha & Afonso, Oscar & Silva, Diana & Sochirca, Elena, 2021. "The link between intellectual property rights, innovation, and growth: A meta-analysis," Economic Modelling, Elsevier, vol. 97(C), pages 196-209.
    12. Nicolas Fleury & Fabrice Gilles, 2015. "A meta-regression analysis on intergenerational transmission of education: publication bias and genuine empirical effect," Working Papers halshs-01143490, HAL.
    13. Craig A. Gallet & John A. List, 2003. "Cigarette demand: a meta‐analysis of elasticities," Health Economics, John Wiley & Sons, Ltd., vol. 12(10), pages 821-835, October.
    14. Murat Genc & Masood Gheasi & Peter Nijkamp & Jacques Poot, 2012. "The impact of immigration on international trade: a meta-analysis," Chapters, in: Peter Nijkamp & Jacques Poot & Mediha Sahin (ed.), Migration Impact Assessment, chapter 9, pages 301-337, Edward Elgar Publishing.
    15. Koetse, Mark J. & de Groot, Henri L.F. & Florax, Raymond J.G.M., 2008. "Capital-energy substitution and shifts in factor demand: A meta-analysis," Energy Economics, Elsevier, vol. 30(5), pages 2236-2251, September.
    16. repec:zbw:bofitp:urn:nbn:fi:bof-201503111109 is not listed on IDEAS
    17. Rosenberger, Randall S. & Stanley, Tom D., 2006. "Measurement, generalization, and publication: Sources of error in benefit transfers and their management," Ecological Economics, Elsevier, vol. 60(2), pages 372-378, December.
    18. Winkelried, Diego, 2021. "Unit roots in real primary commodity prices? A meta-analysis of the Grilli and Yang data set," Journal of Commodity Markets, Elsevier, vol. 23(C).
    19. Bergstrom, John C. & Taylor, Laura O., 2006. "Using meta-analysis for benefits transfer: Theory and practice," Ecological Economics, Elsevier, vol. 60(2), pages 351-360, December.
    20. repec:ebl:ecbull:v:17:y:2007:i:5:p:1-11 is not listed on IDEAS
    21. Zandersen, Marianne & Tol, Richard S.J., 2009. "A meta-analysis of forest recreation values in Europe," Journal of Forest Economics, Elsevier, vol. 15(1-2), pages 109-130, January.
    22. Chris Doucouliagos & Jakob de Haan & Jan-Egbert Sturm, 2022. "What drives financial development? A Meta-regression analysis [A new database of financial reforms]," Oxford Economic Papers, Oxford University Press, vol. 74(3), pages 840-868.
    23. Marek Rusnak & Tomas Havranek & Roman Horvath, 2013. "How to Solve the Price Puzzle? A Meta‐Analysis," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(1), pages 37-70, February.

    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:not:notcre:12/03. 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: Hilary Hughes (email available below). General contact details of provider: https://edirc.repec.org/data/cenotuk.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.