IDEAS home Printed from https://ideas.repec.org/p/has/bworkp/1805.html
   My bibliography  Save this paper

Educational policies and the gender gap in test scores: A cross-country analysis

Author

Listed:
  • Zoltan Hermann

    (Institute of Economics, Centre for Economic and Regional Studies, Hungarian Academy of Sciences and Corvinus University of Budapest)

  • Marianna Kopasz

    (Institute for Political Science, Centre for Social Sciences, Hungarian Academy of Sciences)

Abstract

Girls tend to outperform boys in reading tests, while they usually lag behind boys in math. However, the size of the gender gap varies to a great extent between countries. While the existing literature explains these differences as being mainly due to cultural factors, this paper explores whether this cross-country variation is related to educational policies like tracking, grade retention, and individualised teaching practices. The gender test score gap is analysed in math, reading and science using the PISA 2012 dataset. Multilevel models are used in the estimation. The results suggest that the extent of the gender gap is indeed associated with certain characteristics of the various education systems. First, applying a difference-in-differences estimation method, it was found that early tracking has a direct effect on the gender gap in test scores, in favour of girls. Second, suggestive evidence shows that more student-oriented teaching practices also benefit girls relative to boys, both between and within countries, and within schools. Finally, grade retention is correlated with the gender gap, though there is further evidence suggesting that this correlation is very unlikely to represent a causal effect.

Suggested Citation

  • Zoltan Hermann & Marianna Kopasz, 2018. "Educational policies and the gender gap in test scores: A cross-country analysis," Budapest Working Papers on the Labour Market 1805, Institute of Economics, Centre for Economic and Regional Studies.
  • Handle: RePEc:has:bworkp:1805
    as

    Download full text from publisher

    File URL: http://www.mtakti.hu/wp-content/uploads/2018/11/BWP1805.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Schwerdt, Guido & Wuppermann, Amelie C., 2011. "Is traditional teaching really all that bad? A within-student between-subject approach," Economics of Education Review, Elsevier, vol. 30(2), pages 365-379, April.
    2. Hidalgo-Cabrillana, Ana & Lopez-Mayan, Cristina, 2018. "Teaching styles and achievement: Student and teacher perspectives," Economics of Education Review, Elsevier, vol. 67(C), pages 184-206.
    3. Eric A. Hanushek & Ludger Wössmann, 2006. "Does Educational Tracking Affect Performance and Inequality? Differences- in-Differences Evidence Across Countries," Economic Journal, Royal Economic Society, vol. 116(510), pages 63-76, March.
    4. Hanushek, Eric A. & Woessmann, Ludger, 2011. "The Economics of International Differences in Educational Achievement," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 3, chapter 2, pages 89-200, Elsevier.
    5. González de San Román, Ainara & de la Rica, Sara, 2012. "Gender Gaps in PISA Test Scores: The Impact of Social Norms and the Mother's Transmission of Role Attitudes," IZA Discussion Papers 6338, Institute of Labor Economics (IZA).
    6. Mich�le Belot & Vincent Vandenberghe, 2014. "Evaluating the 'threat' effects of grade repetition: exploiting the 2001 reform by the French-Speaking Community of Belgium," Education Economics, Taylor & Francis Journals, vol. 22(1), pages 73-89, February.
    7. Foureaux Koppensteiner, Martin, 2014. "Automatic grade promotion and student performance: Evidence from Brazil," Journal of Development Economics, Elsevier, vol. 107(C), pages 277-290.
    8. Erich Battistin & Antonio Schizzerotto, 2019. "Threat of grade retention, remedial education and student achievement: evidence from upper secondary schools in Italy," Empirical Economics, Springer, vol. 56(2), pages 651-678, February.
    9. Erik Hanushek & F. Welch (ed.), 2006. "Handbook of the Economics of Education," Handbook of the Economics of Education, Elsevier, edition 1, volume 1, number 1, June.
    10. Giorgio Brunello & Daniele Checchi, 2007. "Does school tracking affect equality of opportunity? New international evidence [‘Educational opportunities and the role of institutions’]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 22(52), pages 782-861.
    11. Tuomas Pekkarinen, 2008. "Gender Differences in Educational Attainment: Evidence on the Role of Tracking from a Finnish Quasi‐experiment," Scandinavian Journal of Economics, Wiley Blackwell, vol. 110(4), pages 807-825, December.
    12. Vaclav Korbel & Michal Paulus, 2017. "Do Teaching Practices Impact Socio-emotional Skills?," Working Papers IES 2017/04, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Feb 2017.
    13. Jan Hochweber & Svenja Vieluf, 2018. "Gender differences in reading achievement and enjoyment of reading: The role of perceived teaching quality," The Journal of Educational Research, Taylor & Francis Journals, vol. 111(3), pages 268-283, May.
    14. Gabriela Schütz & Heinrich W. Ursprung & Ludger Wößmann, 2008. "Education Policy and Equality of Opportunity," Kyklos, Wiley Blackwell, vol. 61(2), pages 279-308, May.
    15. Cunha, Flavio & Heckman, James J. & Lochner, Lance, 2006. "Interpreting the Evidence on Life Cycle Skill Formation," Handbook of the Economics of Education, in: Erik Hanushek & F. Welch (ed.), Handbook of the Economics of Education, edition 1, volume 1, chapter 12, pages 697-812, Elsevier.
    16. Roland G. Fryer & Steven D. Levitt, 2010. "An Empirical Analysis of the Gender Gap in Mathematics," American Economic Journal: Applied Economics, American Economic Association, vol. 2(2), pages 210-240, April.
    17. Miyako Ikeda & Emma García, 2014. "Grade repetition: A comparative study of academic and non-academic consequences," OECD Journal: Economic Studies, OECD Publishing, vol. 2013(1), pages 269-315.
    18. Thomas J. Kane & Eric S. Taylor & John H. Tyler & Amy L. Wooten, 2011. "Identifying Effective Classroom Practices Using Student Achievement Data," Journal of Human Resources, University of Wisconsin Press, vol. 46(3), pages 587-613.
    19. Schnepf, Sylke V., 2004. "Gender Equality in Educational Achievement: An East-West Comparison," IZA Discussion Papers 1317, Institute of Labor Economics (IZA).
    20. Erik Hanushek & F. Welch (ed.), 2006. "Handbook of the Economics of Education," Handbook of the Economics of Education, Elsevier, edition 1, volume 2, number 2, June.
    21. Oecd, 2011. "When Students Repeat Grades or Are Transferred Out of School: What Does it Mean for Education Systems?," PISA in Focus 6, OECD Publishing.
    22. Pekkarinen, Tuomas, 2012. "Gender Differences in Education," IZA Discussion Papers 6390, Institute of Labor Economics (IZA).
    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. Rendall, Michelle & Parasnis, Jaai & Paterson, Molly, 2022. "Gender, Income, and Numeracy Test Scores," CEPR Discussion Papers 16895, C.E.P.R. Discussion Papers.
    2. Paterson, Molly, 2021. "Gender and Disadvantage in the Evolution of Test Score Gaps," Warwick-Monash Economics Student Papers 06, Warwick Monash Economics Student Papers.

    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. Ralph Hippe & Luisa De Sousa Lobo Borges de Araujo & Patricia Dinis Mota da Costa, 2016. "Equity in Education in Europe," JRC Research Reports JRC104595, Joint Research Centre.
    2. Simon Briole, 2019. "From Teacher Quality to Teaching Quality: Instructional Productivity and Teaching Practices in the US," Working Papers halshs-01993616, HAL.
    3. Lange, Simon & von Werder, Marten, 2017. "Tracking and the intergenerational transmission of education: Evidence from a natural experiment," Economics of Education Review, Elsevier, vol. 61(C), pages 59-78.
    4. Marc Piopiunik, 2011. "Microeconometric Analyses of Education Production in Germany," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 40.
    5. Wößmann Ludger, 2011. "Aktuelle Herausforderungen der deutschen Bildungspolitik: Ordnungspolitischer Rahmen und konkrete Handlungsfelder / Current Challenges for German Education Policy: Institutional Framework and Concrete," ORDO. Jahrbuch für die Ordnung von Wirtschaft und Gesellschaft, De Gruyter, vol. 62(1), pages 145-176, January.
    6. Ludger Wößmann, 2008. "Efficiency and equity of European education and training policies," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 15(2), pages 199-230, April.
    7. Ludger Woessmann, 2016. "The Importance of School Systems: Evidence from International Differences in Student Achievement," Journal of Economic Perspectives, American Economic Association, vol. 30(3), pages 3-32, Summer.
    8. Marchionni, Mariana & Pinto, Florencia & Vazquez, Emmanuel, 2013. "Determinantes de la desigualdad en el desempeño educativo en la Argentina [Determinants of the inequality in PISA test scores in Argentina]," MPRA Paper 56421, University Library of Munich, Germany.
    9. Lisa Grazzini, 2016. "The Importance of the Quality of Education: Some Determinants and its Effects on Earning Returns and Economic Growth," ECONOMIA PUBBLICA, FrancoAngeli Editore, vol. 2016(2), pages 43-82.
    10. Marchionni, Mariana & Vazquez, Emmanuel & Pinto, Florencia, 2012. "Desigualdad educativa en la Argentina. Análisis en base a los datos PISA 2009 [Education Inequality in Argentina. An analysis based on PISA 2009 data]," MPRA Paper 56420, University Library of Munich, Germany.
    11. Contini, Dalit & Cugnata, Federica, 2016. "Learning inequalities between primary and secondary school. Difference-in-difference with international assessments," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201607, University of Turin.
    12. Paul Anand & Jere R. Behrman & Hai-Anh H. Dang & Sam Jones, 2018. "Inequality of opportunity in education: Accounting for the contributions of Sibs, schools and sorting across East Africa," Working Papers 480, ECINEQ, Society for the Study of Economic Inequality.
    13. Checchi, Daniele & van de Werfhorst, Herman Gerbert, 2017. "Policies, Skills and Earnings: How Educational Inequality Affects Earnings Inequality," SocArXiv wn3h2, Center for Open Science.
    14. John Jerrim & Álvaro Choi, 2013. "The mathematics skills of school children: how does England compare to the high performing east Asian jurisdictions?," Working Papers 2013/12, Institut d'Economia de Barcelona (IEB).
    15. Zoltan Hermann, 2013. "Are you on the right track? The effect of educational tracks on student achievement in upper-secondary education in Hungary," Budapest Working Papers on the Labour Market 1316, Institute of Economics, Centre for Economic and Regional Studies.
    16. Elena Meschi & Francesco Scervini, 2014. "A new dataset on educational inequality," Empirical Economics, Springer, vol. 47(2), pages 695-716, September.
    17. Tommaso Agasisti & Sergio Longobardi, 2012. "Inequality in education: can Italian disadvantaged students close the gap? A focus on resilience in the Italian school system," Working Papers 2012/39, Institut d'Economia de Barcelona (IEB).
    18. Elke Lüdemann, 2011. "Schooling and the Formation of Cognitive and Non-cognitive Outcomes," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 39.
    19. Cordero, Jose M. & Polo, Cristina & Santín, Daniel & Simancas, Rosa, 2018. "Efficiency measurement and cross-country differences among schools: A robust conditional nonparametric analysis," Economic Modelling, Elsevier, vol. 74(C), pages 45-60.
    20. Metzler, Johannes & Woessmann, Ludger, 2012. "The impact of teacher subject knowledge on student achievement: Evidence from within-teacher within-student variation," Journal of Development Economics, Elsevier, vol. 99(2), pages 486-496.

    More about this item

    Keywords

    gender stratification; tracking; grade retention; teaching practice; PISA; multilevel model; difference-in-differences;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

    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:has:bworkp:1805. 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: Nora Horvath (email available below). General contact details of provider: https://edirc.repec.org/data/iehashu.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.