IDEAS home Printed from https://ideas.repec.org/p/zbw/bamber/171.html
   My bibliography  Save this paper

Gender separation and academic achievement in higher education: Evidence from a natural experiment in Iran

Author

Listed:
  • Kamal, Zahra

Abstract

In 2011, a large university in Tehran launched a policy of gender separation at classroom level without publicly announcing it beforehand. The current paper utilizes this natural experiment to identify the causal impact of participation in single-sex versus mixed classrooms on students' achievement. Despite the vast yet inconclusive literature on single-sex schooling, this paper addresses the dearth of the research in the context of higher education as well as the context of Muslim-majority countries where single-sex education is prevalent. Empirical findings show that when students' characteristics and educational competencies are taken into account, attending a single-sex classroom improves both males' and females' average performances by around 0.36 standard deviation. While the academic benefit for females does not depend on their ability level, the effect is considerably heterogeneous among males with different initial ability. Nearly all positive effect for males is driven by upper-medium-ability male students performing significantly better in all-male classrooms.

Suggested Citation

  • Kamal, Zahra, 2021. "Gender separation and academic achievement in higher education: Evidence from a natural experiment in Iran," BERG Working Paper Series 171, Bamberg University, Bamberg Economic Research Group.
  • Handle: RePEc:zbw:bamber:171
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/242824/1/1770903321.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jackson, C. Kirabo, 2012. "Single-sex schools, student achievement, and course selection: Evidence from rule-based student assignments in Trinidad and Tobago," Journal of Public Economics, Elsevier, vol. 96(1), pages 173-187.
    2. Victor Lavy & Analia Schlosser, 2011. "Mechanisms and Impacts of Gender Peer Effects at School," American Economic Journal: Applied Economics, American Economic Association, vol. 3(2), pages 1-33, April.
    3. Schneeweis, Nicole & Zweimüller, Martina, 2012. "Girls, girls, girls: Gender composition and female school choice," Economics of Education Review, Elsevier, vol. 31(4), pages 482-500.
    4. Eisenkopf, Gerald & Hessami, Zohal & Fischbacher, Urs & Ursprung, Heinrich W., 2015. "Academic performance and single-sex schooling: Evidence from a natural experiment in Switzerland," Journal of Economic Behavior & Organization, Elsevier, vol. 115(C), pages 123-143.
    5. Billger, Sherrilyn M., 2009. "On reconstructing school segregation: The efficacy and equity of single-sex schooling," Economics of Education Review, Elsevier, vol. 28(3), pages 393-402, June.
    6. Oosterbeek, Hessel & van Ewijk, Reyn, 2014. "Gender peer effects in university: Evidence from a randomized experiment," Economics of Education Review, Elsevier, vol. 38(C), pages 51-63.
    7. Park, Hyunjoon & Behrman, Jere R. & Choi, Jaesung, 2018. "Do single-sex schools enhance students’ STEM (science, technology, engineering, and mathematics) outcomes?," Economics of Education Review, Elsevier, vol. 62(C), pages 35-47.
    8. Booth, Alison L. & Cardona-Sosa, Lina & Nolen, Patrick, 2018. "Do single-sex classes affect academic achievement? An experiment in a coeducational university," Journal of Public Economics, Elsevier, vol. 168(C), pages 109-126.
    9. Hyunjoon Park & Jere Behrman & Jaesung Choi, 2013. "Causal Effects of Single-Sex Schools on College Entrance Exams and College Attendance: Random Assignment in Seoul High Schools," Demography, Springer;Population Association of America (PAA), vol. 50(2), pages 447-469, April.
    10. Doris, Aedín & O’Neill, Donal & Sweetman, Olive, 2013. "Gender, single-sex schooling and maths achievement," Economics of Education Review, Elsevier, vol. 35(C), pages 104-119.
    11. Victor Lavy & Analía Schlosser, 2011. "Corrigendum: Mechanisms and Impacts of Gender Peer Effects at School," American Economic Journal: Applied Economics, American Economic Association, vol. 3(3), pages 268-268, July.
    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. Schulz, Jan & Mayerhoffer, Daniel M., 2021. "A network approach to consumption," BERG Working Paper Series 173, Bamberg University, Bamberg Economic Research Group.
    2. Savin, Ivan & Mundt, Philipp, 2022. "Drivers of productivity change in global value chains: Reallocation vs. innovation," Economics Letters, Elsevier, vol. 220(C).
    3. Daske, Thomas & March, Christoph, 2022. "Efficient incentives with social preferences," BERG Working Paper Series 180, Bamberg University, Bamberg Economic Research Group.
    4. Sahm, Marco, 2022. "Optimal accuracy of unbiased Tullock contests with two heterogeneous players," BERG Working Paper Series 175, Bamberg University, Bamberg Economic Research Group.
    5. Schmitt, Sefanie Y. & Bruckner, Dominik, 2022. "Unaware consumers and disclosure of deficiencies," BERG Working Paper Series 178, Bamberg University, Bamberg Economic Research Group.

    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. Briole, Simon, 2021. "Are girls always good for boys? Short and long term effects of school peers’ gender," Economics of Education Review, Elsevier, vol. 84(C).
    2. Dustmann, Christian & Ku, Hyejin & Kwak, Do Won, 2018. "Why Are Single-Sex Schools Successful?," Labour Economics, Elsevier, vol. 54(C), pages 79-99.
    3. Booth, Alison L. & Cardona-Sosa, Lina & Nolen, Patrick, 2018. "Do single-sex classes affect academic achievement? An experiment in a coeducational university," Journal of Public Economics, Elsevier, vol. 168(C), pages 109-126.
    4. Park, Hyunjoon & Behrman, Jere R. & Choi, Jaesung, 2018. "Do single-sex schools enhance students’ STEM (science, technology, engineering, and mathematics) outcomes?," Economics of Education Review, Elsevier, vol. 62(C), pages 35-47.
    5. Pregaldini, Damiano & Backes-Gellner, Uschi & Eisenkopf, Gerald, 2020. "Girls’ preferences for STEM and the effects of classroom gender composition: New evidence from a natural experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 102-123.
    6. Doris, Aedín & O’Neill, Donal & Sweetman, Olive, 2013. "Gender, single-sex schooling and maths achievement," Economics of Education Review, Elsevier, vol. 35(C), pages 104-119.
    7. Delaney, Judith M. & Devereux, Paul J., 2021. "Gender and Educational Achievement: Stylized Facts and Causal Evidence," IZA Discussion Papers 14074, Institute of Labor Economics (IZA).
    8. Massimo Anelli & Giovanni Peri, 2019. "The Effects of High School Peers’ Gender on College Major, College Performance and Income," The Economic Journal, Royal Economic Society, vol. 129(618), pages 553-602.
    9. Eisenkopf, Gerald & Hessami, Zohal & Fischbacher, Urs & Ursprung, Heinrich W., 2015. "Academic performance and single-sex schooling: Evidence from a natural experiment in Switzerland," Journal of Economic Behavior & Organization, Elsevier, vol. 115(C), pages 123-143.
    10. Anelli, Massimo & Peri, Giovanni, 2015. "Peers' Composition Effects in the Short and in the Long Run: College Major, College Performance and Income," IZA Discussion Papers 9119, Institute of Labor Economics (IZA).
    11. Sohn, Hosung, 2016. "Mean and distributional impact of single-sex high schools on students’ cognitive achievement, major choice, and test-taking behavior: Evidence from a random assignment policy in Seoul, Korea," Economics of Education Review, Elsevier, vol. 52(C), pages 155-175.
    12. Lee, Youngju & Nakazawa, Nobuhiko, 2022. "Does single-sex schooling help or hurt labor market outcomes? Evidence from a natural experiment in South Korea," Journal of Public Economics, Elsevier, vol. 214(C).
    13. Paredes, Valentina, 2014. "A teacher like me or a student like me? Role model versus teacher bias effect," Economics of Education Review, Elsevier, vol. 39(C), pages 38-49.
    14. Alison L. Booth & Lina Cardona-Sosa & Patrick Nolen, 2013. "Do Single?Sex Classes Affect Achievement? A Study in a Coeducational University," Borradores de Economia 10989, Banco de la Republica.
    15. Ozkan Eren, 2017. "Differential Peer Effects, Student Achievement, and Student Absenteeism: Evidence From a Large-Scale Randomized Experiment," Demography, Springer;Population Association of America (PAA), vol. 54(2), pages 745-773, April.
    16. Kristin F. Butcher & Patrick McEwan & Akila Weerapana, 2023. "Women's Colleges and Economics Major Choice: Evidence from Wellesley College Applicants," NBER Working Papers 31144, National Bureau of Economic Research, Inc.
    17. Laura Cyron & Guido Schwerdt & Martina Viarengo, 2017. "The effect of opposite sex siblings on cognitive and noncognitive skills in early childhood," Applied Economics Letters, Taylor & Francis Journals, vol. 24(19), pages 1369-1373, November.
    18. Luo, Yiyang & Yang, Songtao, 2023. "Gender peer effects on students’ educational and occupational expectations," China Economic Review, Elsevier, vol. 77(C).
    19. Daniel Borbely & Jonathan Norris & Agnese Romiti, 2023. "Peer Gender and Schooling: Evidence from Ethiopia," Journal of Human Capital, University of Chicago Press, vol. 17(2), pages 207-249.
    20. Bertoni, Marco & Brunello, Giorgio & Cappellari, Lorenzo, 2017. "Parents, Siblings and Schoolmates: The Effects of Family-School Interactions on Educational Achievement and Long-Term Labor Market Outcomes," IZA Discussion Papers 11200, Institute of Labor Economics (IZA).

    More about this item

    Keywords

    education policy; gender separation; single-sex education; coeducation; mixed classroom; higher education;
    All these keywords.

    JEL classification:

    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models

    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:zbw:bamber:171. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/bebamde.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.