IDEAS home Printed from https://ideas.repec.org/p/met/wpaper/0417.html
   My bibliography  Save this paper

Gender Differences in Academic Performance in a Large Public University in Turkey

Author

Listed:
  • Meltem Dayioglu

    (Department of Economics, METU)

  • Serap Türüt-Asik

    (Department of Economics, METU)

Abstract

The paper attempts to determine whether there are significant gender differences in academic performance among undergraduate students in a large public university in Turkey based on three indicators; university entrance scores, performance in the English preparatory school and in the program the student is majoring in. The paper finds that a smaller number of female students manage to enter the university and when they do so, they enter with lower scores. However, once they are admitted to the university, they excel in their studies and outperform their male counterparts. This result holds after controlling for the field of study and individual attributes.

Suggested Citation

  • Meltem Dayioglu & Serap Türüt-Asik, 2004. "Gender Differences in Academic Performance in a Large Public University in Turkey," ERC Working Papers 0417, ERC - Economic Research Center, Middle East Technical University, revised Dec 2004.
    • Handle: RePEc:met:wpaper:0417
    as

    Download full text from publisher

    File URL: http://erc.metu.edu.tr/en/system/files/menu/series04/0417.pdf
    File Function: First version, 2004
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Julian R. Betts & Darlene Morell, 1999. "The Determinants of Undergraduate Grade Point Average: The Relative Importance of Family Background, High School Resources, and Peer Group Effects," Journal of Human Resources, University of Wisconsin Press, vol. 34(2), pages 268-293.
    2. Robst, John & Keil, Jack & Russo, Dean, 1998. "The effect of gender composition of faculty on student retention," Economics of Education Review, Elsevier, vol. 17(4), pages 429-439, October.
    3. Blakemore, Arthur E & Low, Stuart A, 1984. "Sex Differences in Occupational Selection: The Case of College Majors," The Review of Economics and Statistics, MIT Press, vol. 66(1), pages 157-163, February.
    4. Aysit Tansel, 1998. "Determinants of School Attainment of Boys and Girls in Turkey," Working Papers 9810, Economic Research Forum, revised 07 Sep 1998.
    5. Rothstein, Jesse M, 2004. "College performance predictions and the SAT," Department of Economics, Working Paper Series qt59s4j4m4, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    6. Tansel, Aysit, 2002. "Determinants of school attainment of boys and girls in Turkey: individual, household and community factors," Economics of Education Review, Elsevier, vol. 21(5), pages 455-470, October.
    7. Polachek, Solomon William, 1981. "Occupational Self-Selection: A Human Capital Approach to Sex Differences in Occupational Structure," The Review of Economics and Statistics, MIT Press, vol. 63(1), pages 60-69, February.
    8. Rothstein, J.M.Jesse M., 2004. "College performance predictions and the SAT," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 297-317.
    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. A. Abdulhakeem, Kilishi, 2022. "University entrance Requirements and Students' Academic Performance," Working Papers 28, Department of Economics, University of Ilorin.

    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. Silva, Pedro Luís, 2022. "Specialists or All-Rounders: How Best to Select University Students?," IZA Discussion Papers 15271, Institute of Labor Economics (IZA).
    2. Rajeev Darolia & Cory Koedel, 2018. "High Schools And Students' Initial Colleges And Majors," Contemporary Economic Policy, Western Economic Association International, vol. 36(4), pages 692-710, October.
    3. A. Abigail Payne & Justin Smith, 2020. "Big Fish, Small Pond: The Effect of Rank at Entry on Postsecondary Outcomes," Southern Economic Journal, John Wiley & Sons, vol. 86(4), pages 1475-1509, April.
    4. Palomino, Frédéric & Peyrache, Eloïc & ÖRS, Evren, 2008. "Performance Gender-Gap: Does Competition Matter?," CEPR Discussion Papers 6891, C.E.P.R. Discussion Papers.
    5. Sandra E. Black & Kalena E. Cortes & Jane Arnold Lincove, 2014. "Efficacy vs. Equity: What Happens When States Tinker with College Admissions in a Race-Blind Era?," NBER Working Papers 20804, National Bureau of Economic Research, Inc.
    6. Bai, Chong-en & Chi, Wei, 2011. "Determinants of undergraduate GPAs in China: college entrance examination scores, high school achievement, and admission route," MPRA Paper 31240, University Library of Munich, Germany.
    7. Peter Bergman, 2020. "Nudging Technology Use: Descriptive and Experimental Evidence from School Information Systems," Education Finance and Policy, MIT Press, vol. 15(4), pages 623-647, Fall.
    8. Garcia, Rene & Bonomo, Marco, 2001. "Tests of conditional asset pricing models in the Brazilian stock market," Journal of International Money and Finance, Elsevier, vol. 20(1), pages 71-90, February.
    9. Jesse Rothstein & Albert Yoon, 2006. "Mismatch in Law School," Working Papers 29, Princeton University, School of Public and International Affairs, Education Research Section..
    10. Debopam Bhattacharya & Shin Kanaya & Margaret Stevens, 2017. "Are University Admissions Academically Fair?," The Review of Economics and Statistics, MIT Press, vol. 99(3), pages 449-464, July.
    11. Guyonne Kalb & Sholeh A. Maani, 2007. "The Importance of Observing Early School Leaving and Usually Unobserved Background and Peer Characteristics in Analysing Academic Performance," Melbourne Institute Working Paper Series wp2007n05, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    12. Orazem, Peter F. & King, Elizabeth M., 2008. "Schooling in Developing Countries: The Roles of Supply, Demand and Government Policy," Handbook of Development Economics, in: T. Paul Schultz & John A. Strauss (ed.), Handbook of Development Economics, edition 1, volume 4, chapter 55, pages 3475-3559, Elsevier.
    13. Beattie, Graham & Laliberté, Jean-William P. & Oreopoulos, Philip, 2018. "Thrivers and divers: Using non-academic measures to predict college success and failure," Economics of Education Review, Elsevier, vol. 62(C), pages 170-182.
    14. Michelle Rendall & Andrew Rendall, 2013. "Math Matters: Student Ability, College Majors, and Wage Inequality," 2013 Meeting Papers 1196, Society for Economic Dynamics.
    15. Schlenker, Eva, 2013. "The Labour Supply of Women in STEM," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79981, Verein für Socialpolitik / German Economic Association.
    16. Sezgin Polat & Jean-Jacques Paul, 2016. "How to predict university performance: a case study from a prestigious Turkish university?," Investigaciones de Economía de la Educación volume 11, in: José Manuel Cordero Ferrera & Rosa Simancas Rodríguez (ed.), Investigaciones de Economía de la Educación 11, edition 1, volume 11, chapter 22, pages 423-434, Asociación de Economía de la Educación.
    17. Evgeniya Popova & Marina Sheina, 2017. "Does Studying in a Strong School Guarantee Good College Performance?," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 1, pages 128-157.
    18. Jesse Rothstein, 2019. "Inequality of Educational Opportunity? Schools as Mediators of the Intergenerational Transmission of Income," Journal of Labor Economics, University of Chicago Press, vol. 37(S1), pages 85-123.
    19. Mario I. Suárez & Alan R Dabney & Hersh C Waxman & Timothy P Scott & Adrienne O Bentz, 2021. "Exploring Factors that Predict STEM Persistence at a Large, Public Research University," International Journal of Higher Education, Sciedu Press, vol. 10(4), pages 161-161, August.
    20. Tansel, Aysit, 2011. "Intergenerational educational mobility in Turkey," MPRA Paper 68435, University Library of Munich, Germany.

    More about this item

    Keywords

    Academic achievement; undergraduate students; gender disparity; Turkey;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

    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:met:wpaper:0417. 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: Erol Taymaz (email available below). General contact details of provider: https://edirc.repec.org/data/ermettr.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.