IDEAS home Printed from https://ideas.repec.org/p/crm/wpaper/1307.html
   My bibliography  Save this paper

Can gender differences in the educational performance of 15-year old migrant pupils be explained by the gender equality in the countries of origin and destination?

Author

Listed:
  • Jaap Dronkers

    (University of Maastricht)

  • Nils Kornder

    (University of Maastricht)

Abstract

We try to explain the differences between the performance (in both reading and math) of 8430 15-year-old daughters and 8526 15-year-old sons in 17 Organisation for Economic Cooperation and Development destination countries across Europe and Oceania with the PISA 2009 data from 45 origin countries or regions. In addition to the level of societal gender equality of the origin and destination countries (the gender empowerment measure, or GEM) we use macro indicators of the educational systems, economic development, and religions of the countries of origin. We find that migrant daughters from countries with higher levels of gender equality have higher reading scores than comparable migrant sons (but this is not the case for math scores). In addition, the higher the level of gender equality in the destination countries, the lower the reading and math scores of both the male and female migrants’ children in their destination countries. Further analyses suggest that the difference between the levels of gender equality, rather than the levels themselves, of the origin and destination countries explains more of the educational performance of both female and male migrant pupils. Our results also show that the low level of gender equality in Islamic origin countries is a sufficient explanation of the low educational performance of Islam male and female migrants’ pupils. Finally, migrants’ daughters seem to perform slightly better educationally than comparable migrants’ sons.

Suggested Citation

  • Jaap Dronkers & Nils Kornder, 2013. "Can gender differences in the educational performance of 15-year old migrant pupils be explained by the gender equality in the countries of origin and destination?," RF Berlin - CReAM Discussion Paper Series 1307, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
  • Handle: RePEc:crm:wpaper:1307
    as

    Download full text from publisher

    File URL: https://www.cream-migration.org/publ_uploads/CDP_07_13.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Martin Falk, 2006. "What drives business Research and Development (R&D) intensity across Organisation for Economic Co-operation and Development (OECD) countries?," Applied Economics, Taylor & Francis Journals, vol. 38(5), pages 533-547.
    2. Soimakallio, Sampo & Saikku, Laura, 2012. "CO2 emissions attributed to annual average electricity consumption in OECD (the Organisation for Economic Co-operation and Development) countries," Energy, Elsevier, vol. 38(1), pages 13-20.
    3. Ganzeboom, H.B.G. & de Graaf, P.M. & Treiman, D.J. & de Leeuw, J., 1992. "A standard international socio-economic index of occupational status," WORC Paper 92.01.001/1, Tilburg University, Work and Organization Research Centre.
    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. Christopher Ball, 2014. "Modelling retirement income in New Zealand," New Zealand Economic Papers, Taylor & Francis Journals, vol. 48(2), pages 209-225, August.
    2. Daniela Del Boca & Chiara Monfardini & Sarah Grace See, 2022. "Early Childcare Duration and Student' Later Outcomes in Europe," Working Papers 2022-021, Human Capital and Economic Opportunity Working Group.
    3. Ken‐ichi Hashimoto & Ryonghun Im & Takuma Kunieda & Akihisa Shibata, 2022. "Asset bubbles, unemployment, and financial market frictions," Economic Inquiry, Western Economic Association International, vol. 60(4), pages 1806-1832, October.
    4. Clara H. Mulder & Michael Wagner, 2001. "The Connections between Family Formation and First-time Home Ownership in the Context of West Germany and the Netherlands," European Journal of Population, Springer;European Association for Population Studies, vol. 17(2), pages 137-164, June.
    5. Chen, Ping-Chuan & Hung, Shiu-Wan, 2016. "An actor-network perspective on evaluating the R&D linking efficiency of innovation ecosystems," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 303-312.
    6. Andersen, Asbjørn Goul & Markussen, Simen & Røed, Knut, 2021. "Pension reform and the efficiency-equity trade-off: Impacts of removing an early retirement subsidy," Labour Economics, Elsevier, vol. 72(C).
    7. Beck, Mathias & Junge, Martin & Kaiser, Ulrich, 2017. "Public Funding and Corporate Innovation," IZA Discussion Papers 11196, Institute of Labor Economics (IZA).
    8. T. Gries & R. Grundmann & I. Palnau & M. Redlin, 2017. "Innovations, growth and participation in advanced economies - a review of major concepts and findings," International Economics and Economic Policy, Springer, vol. 14(2), pages 293-351, April.
    9. Peter Warr & Arief Anshory Yusuf, 2014. "Fertilizer subsidies and food self-sufficiency in Indonesia," Agricultural Economics, International Association of Agricultural Economists, vol. 45(5), pages 571-588, September.
    10. Aparicio, Juan & Santin, Daniel, 2018. "A note on measuring group performance over time with pseudo-panels," European Journal of Operational Research, Elsevier, vol. 267(1), pages 227-235.
    11. Mellace, Giovanni & Ventura, Marco, 2019. "Intended and unintended effects of public incentives for innovation. Quasi-experimental evidence from Italy," Discussion Papers on Economics 9/2019, University of Southern Denmark, Department of Economics.
    12. Daniel Kemptner & Jan Marcus, 2013. "Spillover effects of maternal education on child’s health and health behavior," Review of Economics of the Household, Springer, vol. 11(1), pages 29-52, March.
    13. Gabriela Schütz & Heinrich W. Ursprung & Ludger Wößmann, 2008. "Education Policy and Equality of Opportunity," Kyklos, Wiley Blackwell, vol. 61(2), pages 279-308, May.
    14. Ralph Hippe & Maciej Jakubowski & Luisa De Sousa Lobo Borges de Araujo, 2018. "Regional inequalities in PISA: the case of Italy and Spain," JRC Research Reports JRC109057, Joint Research Centre (Seville site).
    15. Takanori Sumino, 2016. "Level or Concentration? A Cross-national Analysis of Public Attitudes Towards Taxation Policies," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(3), pages 1115-1134, December.
    16. Ian Smith, 2012. "Reinterpreting the economics of extramarital affairs," Review of Economics of the Household, Springer, vol. 10(3), pages 319-343, September.
    17. Silke L. Schneider, 2022. "The classification of education in surveys: a generalized framework for ex-post harmonization," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(3), pages 1829-1866, June.
    18. repec:iab:iabfda:200906(de is not listed on IDEAS
    19. Lu, Jing & Xiao, Qinglan & Wang, Taoxuan, 2023. "Does the digital economy generate a gender dividend for female employment? Evidence from China," Telecommunications Policy, Elsevier, vol. 47(6).
    20. Huang, Bwo-Nung & Hwang, M.J. & Yang, C.W., 2008. "Causal relationship between energy consumption and GDP growth revisited: A dynamic panel data approach," Ecological Economics, Elsevier, vol. 67(1), pages 41-54, August.
    21. Fenella Fleischmann & Jaap Dronkers, 2010. "Unemployment among immigrants in European labour markets: an analysis of origin and destination effects," Work, Employment & Society, British Sociological Association, vol. 24(2), pages 337-354, June.

    More about this item

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • P50 - Political Economy and Comparative Economic Systems - - Comparative Economic Systems - - - General

    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:crm:wpaper:1307. 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: CReAM Administrator or Matthew Nibloe (email available below). General contact details of provider: https://edirc.repec.org/data/cmucluk.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.