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Gender Segregation in Education and Its Implications for Labour Market Outcomes: Evidence from India

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  • Soham Sahoo
  • Stephan Klasen

Abstract

This paper investigates gender-based segregation across different fields of study at the postsecondary level of schooling, and how that affects subsequent labour market outcomes of men and women. Using a nationally representative longitudinal data-set from India, we provide evidence that there is substantial intra-household gender disparity in the choice of study stream at the higher-secondary level of education. A household fixed effects regression shows that girls are 20 percentage points less likely than boys to study in technical streams, namely science (STEM) and commerce, vis-à-vis arts or humanities. This gender disparity is not driven by gender specific differences in mathematical ability, as the gap remains large and significant even after controlling for individuals’ past test scores. Our further analysis on working-age individuals suggests that technical stream choice at higher-secondary level significantly affects the gender gap in labour market outcomes in adult life, including labour force participation, nature of employment, and earnings. Thus our findings reveal how gender disparity in economic outcomes at a later stage in the life-course is affected by gendered trajectories set earlier in life, especially at the school level.

Suggested Citation

  • Soham Sahoo & Stephan Klasen, 2018. "Gender Segregation in Education and Its Implications for Labour Market Outcomes: Evidence from India," Courant Research Centre: Poverty, Equity and Growth - Discussion Papers 248, Courant Research Centre PEG.
  • Handle: RePEc:got:gotcrc:248
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    1. Sarkar, Sudipa & Sahoo, Soham & Klasen, Stephan, 2019. "Employment transitions of women in India: A panel analysis," World Development, Elsevier, vol. 115(C), pages 291-309.
    2. Maitra, Pushkar & Pal, Sarmistha & Sharma, Anurag, 2016. "Absence of Altruism? Female Disadvantage in Private School Enrollment in India," World Development, Elsevier, vol. 85(C), pages 105-125.
    3. Francine D. Blau & Lawrence M. Kahn, 2017. "The Gender Wage Gap: Extent, Trends, and Explanations," Journal of Economic Literature, American Economic Association, vol. 55(3), pages 789-865, September.
    4. Nielsen, Helena Skyt & Westergard-Nielsen, Niels, 2001. "Returns to Schooling in Less Developed Countries: New Evidence from Zambia," Economic Development and Cultural Change, University of Chicago Press, vol. 49(2), pages 365-394, January.
    5. Boudarbat, Brahim, 2008. "Field of study choice by community college students in Canada," Economics of Education Review, Elsevier, vol. 27(1), pages 79-93, February.
    6. 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.
    7. Winship C. Fuller & Charles F. Manski & David A. Wise, 1982. "New Evidence on the Economic Determinants of Postsecondary Schooling Choices," Journal of Human Resources, University of Wisconsin Press, vol. 17(4), pages 477-498.
    8. Mehtabul Azam & Aimee Chin & Nishith Prakash, 2013. "The Returns to English-Language Skills in India," Economic Development and Cultural Change, University of Chicago Press, vol. 61(2), pages 335-367.
    9. Christian Dustmann, 2004. "Parental background, secondary school track choice, and wages," Oxford Economic Papers, Oxford University Press, vol. 56(2), pages 209-230, April.
    10. Magali Beffy & Denis Fougère & Arnaud Maurel, 2012. "Choosing the Field of Study in Postsecondary Education: Do Expected Earnings Matter?," The Review of Economics and Statistics, MIT Press, vol. 94(1), pages 334-347, February.
    11. Mukhopadhyay, Abhiroop & Sahoo, Soham, 2016. "Does access to secondary education affect primary schooling? Evidence from India," Economics of Education Review, Elsevier, vol. 54(C), pages 124-142.
    12. Van Puyenbroeck, Tom & De Bruyne, Karolien & Sels, Luc, 2012. "More than ‘Mutual Information’: Educational and sectoral gender segregation and their interaction on the Flemish labor market," Labour Economics, Elsevier, vol. 19(1), pages 1-8.
    13. Juanna Schrøter Joensen & Helena Skyt Nielsen, 2009. "Is there a Causal Effect of High School Math on Labor Market Outcomes?," Journal of Human Resources, University of Wisconsin Press, vol. 44(1).
    14. Shelley Clark, 2000. "Son preference and sex composition of children: Evidence from india," Demography, Springer;Population Association of America (PAA), vol. 37(1), pages 95-108, February.
    15. 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.
    16. Kazuo Yamaguchi, 1989. "A formal theory for male-preferring stopping rules of childbearing: sex differences in birth order and in the number of siblings," Demography, Springer;Population Association of America (PAA), vol. 26(3), pages 451-465, August.
    17. Basit Zafar, 2013. "College Major Choice and the Gender Gap," Journal of Human Resources, University of Wisconsin Press, vol. 48(3), pages 545-595.
    18. Thomas Buser & Muriel Niederle & Hessel Oosterbeek, 2014. "Gender, Competitiveness, and Career Choices," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(3), pages 1409-1447.
    19. S Chandrasekhar & P. Geetha Rani & Soham Sahoo, 2016. "Household expenditure on higher education in India: What do we know & What do recent data have to say?," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2016-030, Indira Gandhi Institute of Development Research, Mumbai, India.
    20. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    21. Friedman-Sokuler, Naomi & Justman, Moshe, 2016. "Gender streaming and prior achievement in high school science and mathematics," Economics of Education Review, Elsevier, vol. 53(C), pages 230-253.
    22. Daoud, Yousef, 2005. "Gender gap in returns to schooling in Palestine," Economics of Education Review, Elsevier, vol. 24(6), pages 633-649, December.
    23. Shulamit Kahn & Donna Ginther, 2017. "Women and STEM," NBER Working Papers 23525, National Bureau of Economic Research, Inc.
    24. Tushar Agrawal & Ankush Agrawal, 2019. "Who Gains More from Education? A Comparative Analysis of Business, Farm and Wage Workers in India," Journal of Development Studies, Taylor & Francis Journals, vol. 55(6), pages 1081-1098, June.
    25. Antecol, Heather & Cobb-Clark, Deborah A., 2013. "Do psychosocial traits help explain gender segregation in young people's occupations?," Labour Economics, Elsevier, vol. 21(C), pages 59-73.
    26. Kingdon, Geeta Gandhi, 2005. "Where Has All the Bias Gone? Detecting Gender Bias in the Intrahousehold Allocation of Educational Expenditure," Economic Development and Cultural Change, University of Chicago Press, vol. 53(2), pages 409-451, January.
    27. Johnston, David W. & Kassenboehmer, Sonja C. & Shields, Michael A., 2016. "Financial decision-making in the household: Exploring the importance of survey respondent, health, cognitive ability and personality," Journal of Economic Behavior & Organization, Elsevier, vol. 132(PA), pages 42-61.
    28. Soham Sahoo, 2017. "Intra-Household Gender Disparity in School Choice: Evidence from Private Schooling in India," Journal of Development Studies, Taylor & Francis Journals, vol. 53(10), pages 1714-1730, October.
    29. Deepankar Basu & Robert Jong, 2010. "Son targeting fertility behavior: Some consequences and determinants," Demography, Springer;Population Association of America (PAA), vol. 47(2), pages 521-536, May.
    30. World Bank, 2012. "World Development Report 2012 [Rapport sur le développement dans le monde 2012]," World Bank Publications - Books, The World Bank Group, number 4391, December.
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    Cited by:

    1. Sarkar, Sudipa & Chakravorty, Bhaskar & Lyonette, Clare, 2020. "Social Identity and Aspiration - Double Jeopardy or Intersectionality? Evidence from Rural India," GLO Discussion Paper Series 724, Global Labor Organization (GLO).
    2. M. Rahul & Deepika Srivastava, 2022. "The Gender Pay Gap Among Indian Software Developers," Journal of Economics, Race, and Policy, Springer, vol. 5(4), pages 283-306, December.
    3. Mohanty, Smrutirekha, 2021. "A distributional analysis of the gender wage gap among technical degree and diploma holders in urban India," International Journal of Educational Development, Elsevier, vol. 80(C).
    4. Martin Mulwa & Timothy Gichana, 2020. "Does education reduce gender differentials in labor market participation? A Kenyan perspective," African Development Review, African Development Bank, vol. 32(3), pages 446-458, September.
    5. Sophia Kan & Simon Lange, 2021. "An appreciation of Professor Stephan Klasen and his contribution to development economics," Review of Development Economics, Wiley Blackwell, vol. 25(1), pages 104-115, February.
    6. Kumar, Anand & Sahoo, Soham, 2021. "Social Identity and STEM Choice: Evidence from Higher Secondary Schooling in India," GLO Discussion Paper Series 900, Global Labor Organization (GLO).

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    More about this item

    Keywords

    Post-secondary education; STEM; Gender; Labour market; India;
    All these keywords.

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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