IDEAS home Printed from https://ideas.repec.org/a/eee/injoed/v61y2018icp184-195.html
   My bibliography  Save this article

Determinants of schooling and academic achievements: Comparison between children with and without disabilities in India

Author

Listed:
  • Takeda, Takaki
  • Lamichhane, Kamal

Abstract

Using nationally representative data from the 2005 India Human Development Survey, we identified the determinants of children’s school progression and academic achievements. Results revealed important dynamics of disability and income, both negative in educational attainment, completion, dropout and academic achievements. The effect of father’s education was small when it interacted with children’s disability whereas mother’s education had a positive association in secondary school completion as well as reading and writing skills. Policies addressing disability based discrimination, accessibility of school environment and social protection schemes are recommended to improve the education of children with disabilities.

Suggested Citation

  • Takeda, Takaki & Lamichhane, Kamal, 2018. "Determinants of schooling and academic achievements: Comparison between children with and without disabilities in India," International Journal of Educational Development, Elsevier, vol. 61(C), pages 184-195.
    • Handle: RePEc:eee:injoed:v:61:y:2018:i:c:p:184-195
    DOI: 10.1016/j.ijedudev.2018.01.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0738059316302929
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ijedudev.2018.01.003?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Tim Kautz & James J. Heckman & Ron Diris & Bas ter Weel & Lex Borghans, 2014. "Fostering and Measuring Skills: Improving Cognitive and Non-cognitive Skills to Promote Lifetime Success," OECD Education Working Papers 110, OECD Publishing.
    2. Takashi KUROSAKI & Seiro ITO & Nobuhiko FUWA & Kensuke KUBO & Yasuyuki SAWADA, 2006. "Child Labor And School Enrollment In Rural India: Whose Education Matters?," The Developing Economies, Institute of Developing Economies, vol. 44(4), pages 440-464, December.
    3. James J. Heckman & Jora Stixrud & Sergio Urzua, 2006. "The Effects of Cognitive and Noncognitive Abilities on Labor Market Outcomes and Social Behavior," Journal of Labor Economics, University of Chicago Press, vol. 24(3), pages 411-482, July.
    4. Menshawy Badr & Oliver Morrissey & Simon Appleton, 2012. "Determinants of Educational Attainment in Mena," Discussion Papers 12/03, University of Nottingham, CREDIT.
    5. Deon Filmer, 2008. "Disability, Poverty, and Schooling in Developing Countries: Results from 14 Household Surveys," The World Bank Economic Review, World Bank, vol. 22(1), pages 141-163, January.
    6. Lamichhane, Kamal & Kawakatsu, Yoshito, 2015. "Disability and determinants of schooling: A case from Bangladesh," International Journal of Educational Development, Elsevier, vol. 40(C), pages 98-105.
    7. Sawada, Yasuyuki & Lokshin, Michael, 2009. "Obstacles to school progression in rural Pakistan: An analysis of gender and sibling rivalry using field survey data," Journal of Development Economics, Elsevier, vol. 88(2), pages 335-347, March.
    8. Ariel Fiszbein & Norbert Schady & Francisco H.G. Ferreira & Margaret Grosh & Niall Keleher & Pedro Olinto & Emmanuel Skoufias, 2009. "Conditional Cash Transfers : Reducing Present and Future Poverty," World Bank Publications - Books, The World Bank Group, number 2597.
    9. Sophie Mitra & Usha Sambamoorthi, 2009. "Wage differential by disability status in an agrarian labour market in India," Applied Economics Letters, Taylor & Francis Journals, vol. 16(14), pages 1393-1398.
    10. Chudgar, Amita & Quin, Elizabeth, 2012. "Relationship between private schooling and achievement: Results from rural and urban India," Economics of Education Review, Elsevier, vol. 31(4), pages 376-390.
    11. 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.
    12. Mitra, Sophie & Sambamoorthi, Usha, 2008. "Disability and the Rural Labor Market in India: Evidence for Males in Tamil Nadu," World Development, Elsevier, vol. 36(5), pages 934-952, May.
    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. El-Saadani, Somaya & Metwally, Soha, 2019. "Inequality of opportunity linked to disability in school enrollment among youth: Evidence from Egypt," International Journal of Educational Development, Elsevier, vol. 67(C), pages 73-84.

    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. Derek Asuman & Charles Godfred Ackah & Frank Agyire-Tettey, 2021. "Disability and Household Welfare in Ghana: Costs and Correlates," Journal of Family and Economic Issues, Springer, vol. 42(4), pages 633-649, December.
    2. El-Saadani, Somaya & Metwally, Soha, 2019. "Inequality of opportunity linked to disability in school enrollment among youth: Evidence from Egypt," International Journal of Educational Development, Elsevier, vol. 67(C), pages 73-84.
    3. Mitra, Sophie, 2010. "Disability Cash Transfers in the Context of Poverty and Unemployment: The Case of South Africa," World Development, Elsevier, vol. 38(12), pages 1692-1709, December.
    4. Muhammad Qahraman Kakar, 2021. "Ethnic Disparities, Women Education and Empowerment in South Asia," Erudite Ph.D Dissertations, Erudite, number ph21-01 edited by Manon Domingues Dos Santos.
    5. Lamichhane, Kamal & Kawakatsu, Yoshito, 2015. "Disability and determinants of schooling: A case from Bangladesh," International Journal of Educational Development, Elsevier, vol. 40(C), pages 98-105.
    6. Igei, Kengo, 2017. "Untangling Disability and Poverty: A Matching Approach Using Large-scale Data in South Africa," Working Papers 142, JICA Research Institute.
    7. Mizunoya, Suguru & Mitra, Sophie & Yamasaki, Izumi, 2018. "Disability and school attendance in 15 low- and middle-income countries," World Development, Elsevier, vol. 104(C), pages 388-403.
    8. Marina Bassi & Matías Busso & Sergio Urzúa & Jaime Vargas, 2012. "Disconnected: Skills, Education, and Employment in Latin America," IDB Publications (Books), Inter-American Development Bank, number 79504, February.
    9. Brancatelli,Calogero & Marguerie,Alicia Charlene & Koettl-Brodmann,Stefanie, 2020. "Job Creation and Demand for Skills in Kosovo : What Can We Learn from Job Portal Data?," Policy Research Working Paper Series 9266, The World Bank.
    10. Lindsey Macmillan & Emma Tominey, 2023. "Parental inputs and socio-economic gaps in early child development," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(3), pages 1513-1543, July.
    11. Breitkopf, Laura & Chowdhury, Shyamal K. & Priyam, Shambhavi & Schildberg-Hörisch, Hannah & Sutter, Matthias, 2020. "Do economic preferences of children predict behavior?," DICE Discussion Papers 342, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    12. Sarrias, Mauricio & Blanco, Alejandra, 2022. "Bodyweight and human capital development: Assessing the impact of obesity on socioemotional skills during childhood in Chile," Economics & Human Biology, Elsevier, vol. 47(C).
    13. Heinrich, Carolyn J. & Knowles, Matthew T., 2020. "A fine predicament: Conditioning, compliance and consequences in a labeled cash transfer program," World Development, Elsevier, vol. 129(C).
    14. Jun Wang & Qihui Chen & Gang Chen & Yingxiang Li & Guoshu Kong & Chen Zhu, 2020. "What is creating the height premium? New evidence from a Mendelian randomization analysis in China," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-20, April.
    15. 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.
    16. Pablo Lavado & Nelson Oviedo & Hernán Ruffo, 2016. "Destruction of Cognitive and Noncognitive Skills in Adulthood," Working Papers 16-07, Centro de Investigación, Universidad del Pacífico.
    17. Breitkopf, Laura & Chowdhury, Shyamal & Priyam, Shambhavi & Schildberg-Hörisch, Hannah & Sutter, Matthias, 2024. "Do Economic Preferences of Children Predict Behavior?," IZA Discussion Papers 16834, Institute of Labor Economics (IZA).
    18. Laura Breitkopf & Shyamal Chowdhury & Shambhavi Priyam & Hannah Schildberg-Hörisch & Matthias Sutter, 2024. "Do economic preferences of children predict behavior?," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2024_09, Max Planck Institute for Research on Collective Goods.
    19. Engelhardt, Carina, 2017. "Unemployment and personality: Are conscientiousness and agreeableness related to employability?," Hannover Economic Papers (HEP) dp-621, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    20. Larrú, José María, 2012. "Evaluar para aprender. Eficiencia en salud y desarrollo [Evaluating for learning. Efficiency in health and development]," MPRA Paper 38788, University Library of Munich, Germany.

    More about this item

    Keywords

    School enrollment; Dropout; Academic achievements; Disability; Barriers; India;
    All these keywords.

    JEL classification:

    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • O53 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East

    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:eee:injoed:v:61:y:2018:i:c:p:184-195. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/international-journal-of-educational-development .

    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.