IDEAS home Printed from https://ideas.repec.org/a/iab/iabjlr/v52part.12.html
   My bibliography  Save this article

Decomposing international gender test score differences

Author

Listed:
  • Munir, Farzana

    (Bahauddin Zakariya University, Multan, Pakistan)

  • Winter-Ebmer, Rudolf

    (CEPR ; IHS ; IZA ; Univ. Linz)

Abstract

"In this paper, we decompose worldwide PISA mathematics and reading scores. While mathematics scores are still tilted towards boys, girls have a larger advantage in reading over boys. Girls' disadvantage in mathematics is increasing over the distribution of talents. Our decomposition shows that part of this increase can be explained by an increasing trend in productive endowments and learning productivity, although the largest part remains unexplained. Countries' general level of gender (in)equality also contributes to girls' disadvantage. For reading, at the upper end of the talent distribution, girls' advantage can be fully explained by differences in learning productivity, but this is not so at lower levels." (Author's abstract, © Springer-Verlag) ((en))

Suggested Citation

  • Munir, Farzana & Winter-Ebmer, Rudolf, 2018. "Decomposing international gender test score differences," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 52(1), pages 1-12.
    • Handle: RePEc:iab:iabjlr:v:52:p:art.12
    DOI: 10.1186/s12651-018-0246-8
    as

    Download full text from publisher

    File URL: https://doi.org/10.1186/s12651-018-0246-8
    Download Restriction: no
    File URL: https://libkey.io/10.1186/s12651-018-0246-8?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
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Sierminska, Eva M. & Frick, Joachim R. & Grabka, Markus M., 2010. "Examining the gender wealth gap," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 62(4), pages 669-690.
    2. Fortin, Nicole & Lemieux, Thomas & Firpo, Sergio, 2011. "Decomposition Methods in Economics," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 1, pages 1-102, Elsevier.
    3. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    4. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    5. José Mata & José A. F. Machado, 2005. "Counterfactual decomposition of changes in wage distributions using quantile regression," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 445-465.
    6. Natalia Nollenberger & Núria Rodríguez-Planas & Almudena Sevilla, 2016. "The Math Gender Gap: The Role of Culture," American Economic Review, American Economic Association, vol. 106(5), pages 257-261, May.
    7. Kitae Sohn, 2012. "A New Insight Into The Gender Gap In Math," Bulletin of Economic Research, Wiley Blackwell, vol. 64(1), pages 135-155, January.
    8. Uri Gneezy & Muriel Niederle & Aldo Rustichini, 2003. "Performance in Competitive Environments: Gender Differences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(3), pages 1049-1074.
    9. Huong Thu Le & Ha Trong Nguyen, 2018. "The evolution of the gender test score gap through seventh grade: new insights from Australia using unconditional quantile regression and decomposition," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-42, December.
    10. 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.
    11. Gijsbert Stoet & David C Geary, 2013. "Sex Differences in Mathematics and Reading Achievement Are Inversely Related: Within- and Across-Nation Assessment of 10 Years of PISA Data," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-10, March.
    12. Devin G. Pope & Justin R. Sydnor, 2010. "Geographic Variation in the Gender Differences in Test Scores," Journal of Economic Perspectives, American Economic Association, vol. 24(2), pages 95-108, Spring.
    13. Juhn, Chinhui & Murphy, Kevin M & Pierce, Brooks, 1993. "Wage Inequality and the Rise in Returns to Skill," Journal of Political Economy, University of Chicago Press, vol. 101(3), pages 410-442, June.
    14. Gevrek, Z. Eylem & Seiberlich, Ruben R., 2014. "Semiparametric decomposition of the gender achievement gap: An application for Turkey," Labour Economics, Elsevier, vol. 31(C), pages 27-44.
    15. Susan Athey & Lawrence F. Katz & Alan B. Krueger & Steven Levitt & James Poterba, 2007. "What Does Performance in Graduate School Predict? Graduate Economics Education and Student Outcomes," American Economic Review, American Economic Association, vol. 97(2), pages 512-520, May.
    16. Sarah E. Turner & William G. Bowen, 1999. "Choice of Major: The Changing (Unchanging) Gender Gap," ILR Review, Cornell University, ILR School, vol. 52(2), pages 289-313, January.
    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. Giovanna Di Castro & Valentina Ferri, 2022. "Why do boys perform worse than girls in reading literacy? Evidences from PISA survey 2018," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 76(1), pages 144-156, January-M.
    2. Alice Bertoletti & Marta Cannistrà & Melisa Diaz Lema & Chiara Masci & Anna Mergoni & Lidia Rossi & Mara Soncin, 2023. "The Determinants of Mathematics Achievement: A Gender Perspective Using Multilevel Random Forest," Economies, MDPI, vol. 11(2), pages 1-20, January.
    3. Romuald Foueka, 2020. "Analyse du différentiel de performances scolaires dans les pays PASEC sur la base de la régression quantile contrefactuelle," African Development Review, African Development Bank, vol. 32(4), pages 605-618, December.

    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. Huong Thu Le & Ha Trong Nguyen, 2018. "The evolution of the gender test score gap through seventh grade: new insights from Australia using unconditional quantile regression and decomposition," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-42, December.
    2. Gevrek, Z. Eylem & Gevrek, Deniz & Neumeier, Christian, 2020. "Explaining the gender gaps in mathematics achievement and attitudes: The role of societal gender equality," Economics of Education Review, Elsevier, vol. 76(C).
    3. Nguyen, Ha, 2015. "The evolution of the gender test score gap through seventh grade: New insights from Australia using quantile regression and decomposition," MPRA Paper 67586, University Library of Munich, Germany.
    4. Anglade, Boaz & Useche, Pilar & Deere, Carmen Diana, 2017. "Decomposing the Gender Wealth Gap in Ecuador," World Development, Elsevier, vol. 96(C), pages 19-31.
    5. Deborah A. Cobb-Clark & Julie Moschion, 2017. "Gender gaps in early educational achievement," Journal of Population Economics, Springer;European Society for Population Economics, vol. 30(4), pages 1093-1134, October.
    6. Romuald Foueka, 2020. "Analyse du différentiel de performances scolaires dans les pays PASEC sur la base de la régression quantile contrefactuelle," African Development Review, African Development Bank, vol. 32(4), pages 605-618, December.
    7. Cozzi, Guido & Galli, Silvia & Mantovan, Noemi, 2018. "Will a shrink make you richer? Gender differences in the effects of psychotherapy on labour efficiency," European Economic Review, Elsevier, vol. 109(C), pages 257-274.
    8. Töpfer, Marina, 2017. "Detailed RIF decomposition with selection: The gender pay gap in Italy," Hohenheim Discussion Papers in Business, Economics and Social Sciences 26-2017, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    9. Victor Chernozhukov & Iván Fernández‐Val & Blaise Melly, 2013. "Inference on Counterfactual Distributions," Econometrica, Econometric Society, vol. 81(6), pages 2205-2268, November.
    10. Verdugo, G. & Fraisse, H. & Horny, G., 2012. "Changes In Wage Inequality In France: The Impact Of Composition Effects (in French)," Working papers 370, Banque de France.
    11. Luis Ayala & Javier Mart n-Rom n & Juan Vicente, 2023. "What Contributes to Rising Inequality in Large Cities?," LIS Working papers 850, LIS Cross-National Data Center in Luxembourg.
    12. Zhu, Rong, 2016. "Wage differentials between urban residents and rural migrants in urban China during 2002–2007: A distributional analysis," China Economic Review, Elsevier, vol. 37(C), pages 2-14.
    13. Maria Laura Di Tommaso & Dalit Contini & Dalila De Rosa & Francesca Ferrara & Daniela Piazzalunga & Ornella Robutti, 2021. "Tackling the gender gap in mathematics with active learning methodologies," Carlo Alberto Notebooks 657, Collegio Carlo Alberto.
    14. Sonja C. Kassenboehmer & Mathias G. Sinning, 2014. "Distributional Changes in the Gender Wage Gap," ILR Review, Cornell University, ILR School, vol. 67(2), pages 335-361, April.
    15. Domenico Depalo & Raffaela Giordano & Evangelia Papapetrou, 2015. "Public–private wage differentials in euro-area countries: evidence from quantile decomposition analysis," Empirical Economics, Springer, vol. 49(3), pages 985-1015, November.
    16. Inés P. Murillo & Hipólito Simón, 2014. "La Gran Recesión y el diferencial salarial por género en España," Hacienda Pública Española / Review of Public Economics, IEF, vol. 208(1), pages 39-76, March.
    17. Mathä, Thomas Y. & Porpiglia, Alessandro & Ziegelmeyer, Michael, 2017. "Household wealth in the euro area: The importance of intergenerational transfers, homeownership and house price dynamics," Journal of Housing Economics, Elsevier, vol. 35(C), pages 1-12.
    18. Gevrek, Z. Eylem & Seiberlich, Ruben R., 2014. "Semiparametric decomposition of the gender achievement gap: An application for Turkey," Labour Economics, Elsevier, vol. 31(C), pages 27-44.
    19. Rosalia Castellano & Gaetano Musella & Gennaro Punzo, 2019. "Exploring changes in the employment structure and wage inequality in Western Europe using the unconditional quantile regression," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 46(2), pages 249-304, May.
    20. Koomen, Miriam & Backes-Gellner, Uschi, 2022. "Occupational tasks and wage inequality in West Germany: A decomposition analysis," Labour Economics, Elsevier, vol. 79(C).

    More about this item

    Keywords

    Welt ; Bildungsausgaben ; Geschlechterverteilung ; geschlechtsspezifische Faktoren ; internationaler Vergleich ; Jungen ; Leistungsbewertung ; Lesen ; Mädchen ; Mathematik ; PISA-Studie ; Schüler ; soziale Ungleichheit ; Ungleichheit ; 2012-2012;
    All these keywords.

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality

    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:iab:iabjlr:v:52:p:art.12. 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: IAB, Geschäftsbereich Wissenschaftliche Fachinformation und Bibliothek (email available below). General contact details of provider: https://edirc.repec.org/data/iabbbde.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.