IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp12671.html
   My bibliography  Save this paper

Gender Bias in Intra-Household Allocation of Education in India: Has It Fallen over Time?

Author

Listed:
  • Datta, Sandip

    (University of Delhi)

  • Kingdon, Geeta G.

    (University College London)

Abstract

This paper asks whether gender bias in education expenditure in rural India fell over the two-decade period from 1995 to 2014. We find that instead of falling over time, the channel through which gender bias is practiced changed dramatically over the 20 years. Secondly, the paper demonstrates the usefulness of distinguishing between the two potential channels of gender bias, namely bias in the school enrolment decision, and bias in the conditional educational expenditure decision, rather than in the single unconditional education expenditure decision; this distinction is shown to be important because gender bias in the enrolment decision has greatly fallen but bias in the conditional expenditure decision has significantly risen over time. Thirdly, we find that individual child level data has much greater power to detect gender bias in education spending, compared to household level data. Lastly, household fixed effects analysis shows that the observed gender biases in education spending are a within-household phenomenon in rural India.

Suggested Citation

  • Datta, Sandip & Kingdon, Geeta G., 2019. "Gender Bias in Intra-Household Allocation of Education in India: Has It Fallen over Time?," IZA Discussion Papers 12671, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp12671
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp12671.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Monica Pinilla-Roncancio & Amy E. Ritterbusch & Sharon Sanchez-Franco & Catalina González-Uribe & Sandra García-Jaramillo, 2021. "Conceptual Debates on Poverty Measurement: The Use of Qualitative Expert Consultation to Guide Methodological Decision-making in Designing a Multidimensional Child-Poverty Measure," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 14(6), pages 2449-2469, December.
    2. Pradeep Kumar Choudhury & Amit Kumar, 2022. "How Much do Households Spend on Professional Higher Education in India? Results from a National Survey," Indian Journal of Human Development, , vol. 16(1), pages 77-96, April.
    3. Emran, M. Shahe & Jiang, Hanchen & Shilpi, Forhad, 2020. "Gender Bias and Intergenerational Educational Mobility: Theory and Evidence from China and India," MPRA Paper 99131, University Library of Munich, Germany.
    4. Kumar, G. Naveen, 2023. "Improving public school productivity: Evidence from model schools in India," Economics of Education Review, Elsevier, vol. 97(C).
    5. Harvinder Singh & Angrej Singh Gill & Pradeep Kumar Choudhury, 2023. "Household Expenditure on Secondary Education in Haryana (India): Levels, Patterns and Determinants," Millennial Asia, , vol. 14(4), pages 605-635, December.
    6. Xu, Sijia & Shonchoy, Abu S. & Fujii, Tomoki, 2022. "Assessing gender parity in intrahousehold allocation of educational resources: Evidence from Bangladesh," World Development, Elsevier, vol. 151(C).
    7. Aswathy Rachel Varughese & Indrajit Bairagya, 2023. "Socio-economic inequalities in spending on various levels of education across Indian households: an update," Indian Economic Review, Springer, vol. 58(1), pages 197-229, June.

    More about this item

    Keywords

    gender bias; education expenditure; education and gender; India;
    All these keywords.

    JEL classification:

    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality

    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:iza:izadps:dp12671. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.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.