IDEAS home Printed from https://ideas.repec.org/p/mhe/chemon/2024-10.html
   My bibliography  Save this paper

The Gender Gap in Children’s Educational Time Investments in Informal Settlements

Author

Listed:
  • Michelle Escobar Carías

    (The University of Melbourne, Department of Economics)

  • Nicole Black

    (Monash University, Monash Business School, Centre for Health Economics)

  • David Johnston

    (Monash University, Monash Business School, Centre for Health Economics)

  • Rohan Sweeney

    (Monash University, Monash Business School, Centre for Health Economics)

  • Fiona S. Barker

    (Monash University, School of Public Health and Preventive Medicine, Faculty of Medicine, Nursing and Health Sciences)

  • Rosnaena

    (RISE Program Indonesia)

  • Syaidah Syamsul

    (RISE Program Indonesia)

  • Taniela Waka

    (RISE Program Fiji)

Abstract

We document gender differences in children’s time investments in education, labour, and leisure in an understudied population of children living in urban informal settlements. Using within-settlement and within-sibling comparisons, we find that boys spend significantly less time than girls on schooling and homework and more time on leisure activities. We also find that caregivers invest less time in helping their sons with reading and homework than their daughters. One possible explanation is that girls spend more time on domestic work. As a result, as the share of girls in the household increases, primary caregivers spend less time on domestic work and more time on other activities such as teaching children. We find that the gender gaps in time use are more pronounced among children whose parents have lower schooling and more financial constraints.

Suggested Citation

  • Michelle Escobar Carías & Nicole Black & David Johnston & Rohan Sweeney & Fiona S. Barker & Rosnaena & Syaidah Syamsul & Taniela Waka, 2024. "The Gender Gap in Children’s Educational Time Investments in Informal Settlements," Papers 2024-10, Centre for Health Economics, Monash University.
  • Handle: RePEc:mhe:chemon:2024-10
    as

    Download full text from publisher

    File URL: http://monash-ch-econ-wps.s3-ap-southeast-2.amazonaws.com/RePEc/mhe/chemon/2024-10.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Marianne Bertrand & Jessica Pan, 2013. "The Trouble with Boys: Social Influences and the Gender Gap in Disruptive Behavior," American Economic Journal: Applied Economics, American Economic Association, vol. 5(1), pages 32-64, January.
    2. Lance Lochner & Enrico Moretti, 2004. "The Effect of Education on Crime: Evidence from Prison Inmates, Arrests, and Self-Reports," American Economic Review, American Economic Association, vol. 94(1), pages 155-189, March.
    3. Sasiwooth Wongmonta & Paul Glewwe, 2017. "An analysis of gender differences in household education expenditure: the case of Thailand," Education Economics, Taylor & Francis Journals, vol. 25(2), pages 183-204, March.
    4. Eric Edmonds, 2006. "Understanding sibling differences in child labor," Journal of Population Economics, Springer;European Society for Population Economics, vol. 19(4), pages 795-821, October.
    5. Stephan Klasen & Francesca Lamanna, 2009. "The Impact of Gender Inequality in Education and Employment on Economic Growth: New Evidence for a Panel of Countries," Feminist Economics, Taylor & Francis Journals, vol. 15(3), pages 91-132.
    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. Chiara Cavaglia & Stephen Machin & Sandra McNally & Jenifer Ruiz-Valenzuela, 2020. "Gender, achievement, and subject choice in English education," CVER Research Papers 032, Centre for Vocational Education Research.
    2. van der Steeg, Marc & van Elk, Roel & Webbink, Dinand, 2015. "Does intensive coaching reduce school dropout? Evidence from a randomized experiment," Economics of Education Review, Elsevier, vol. 48(C), pages 184-197.
    3. Huebener, Mathias & Marcus, Jan, 2017. "Compressing instruction time into fewer years of schooling and the impact on student performance," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 58, pages 1-14.
    4. Elizabeth M. Caucutt & Lance Lochner & Youngmin Park, 2017. "Correlation, Consumption, Confusion, or Constraints: Why Do Poor Children Perform so Poorly?," Scandinavian Journal of Economics, Wiley Blackwell, vol. 119(1), pages 102-147, January.
    5. Giscard Assoumou-ella, 2019. "Gender Inequality in Education and per capita GDP: the case of CEMAC Countries," Economics Bulletin, AccessEcon, vol. 39(2), pages 1154-1162.
    6. Gordon Dahl, 2010. "Early teen marriage and future poverty," Demography, Springer;Population Association of America (PAA), vol. 47(3), pages 689-718, August.
    7. 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.
    8. Giulio Fella & Giovanni Gallipoli, 2014. "Education and Crime over the Life Cycle," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(4), pages 1484-1517.
    9. Isis Gaddis & Stephan Klasen, 2014. "Economic development, structural change, and women’s labor force participation:," Journal of Population Economics, Springer;European Society for Population Economics, vol. 27(3), pages 639-681, July.
    10. Montolio, Daniel & Planells-Struse, Simón, 2015. "When police patrols matter. The effect of police proximity on citizens’ crime risk perception," Journal of Economic Psychology, Elsevier, vol. 50(C), pages 73-93.
    11. Khayria Karoui & Rochdi Feki, 2018. "Does gender inequality reduce growth and development economique? Evidence for a panel from African countries," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(5), pages 2055-2061, September.
    12. Antonio Ciccone & Giovanni Peri, 2005. "Long-Run Substitutability Between More and Less Educated Workers: Evidence from U.S. States, 1950-1990," The Review of Economics and Statistics, MIT Press, vol. 87(4), pages 652-663, November.
    13. Margaux Suteau, 2020. "Inheritance Rights and Women's Empowerment in the Labor and Marriage Markets," THEMA Working Papers 2020-17, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    14. Elvira NICA & Gheorghe H. POPESCU, 2013. "Gender Differences In Strategy And Human Resource Management," Proceedings of Administration and Public Management International Conference, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 9(1), pages 113-126, June.
    15. Ellis, Jimmy R. & Gershenson, Seth, 2016. "LATE for the Meeting: Gender, Peer Advising, and College Success," IZA Discussion Papers 9956, Institute of Labor Economics (IZA).
    16. Nguyen Thang Dao & Julio Dávila & Angela Greulich, 2021. "The education gender gap and the demographic transition in developing countries," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(2), pages 431-474, April.
    17. Esteban M. Aucejo & Jonathan James, 2019. "Catching up to girls: Understanding the gender imbalance in educational attainment within race," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(4), pages 502-525, June.
    18. Holmlund, Helena, 2007. "A Researcher's Guide to the Swedish Compulsory School Reform," Working Paper Series 9/2007, Stockholm University, Swedish Institute for Social Research.
    19. Michael Baker & Kevin Milligan, 2016. "Boy-Girl Differences in Parental Time Investments: Evidence from Three Countries," Journal of Human Capital, University of Chicago Press, vol. 10(4), pages 399-441.
    20. Christopher H. Wheeler, 2006. "Human capital growth in a cross section of U.S. metropolitan areas," Review, Federal Reserve Bank of St. Louis, vol. 88(Mar), pages 113-132.

    More about this item

    Keywords

    Gender gap; Time Use; Education; Informal Settlements;
    All these keywords.

    JEL classification:

    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I25 - Health, Education, and Welfare - - Education - - - Education and Economic Development
    • I30 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply

    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:mhe:chemon:2024-10. 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: Johannes Kunz (email available below). General contact details of provider: https://edirc.repec.org/data/dxmonau.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.