IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/21889.html
   My bibliography  Save this paper

Is there a boy bias in household education expenditure: the case of Andhra Pradesh in India

Author

Listed:
  • Himaz, Rozana

Abstract

This paper asks whether there is a boy bias in household-level education expenditure for households with children aged 5-19 years of age in Andhra Pradesh in India, based on round 2 of the Young Lives survey conducted in 2006. The sample contains 982 households comprising 2578 children. The analysis is based on both demand analysis and a hurdle model. The results show that there is a bias favouring boys in terms of school enrolment as the children get older, captured by age categories 10-14 and 15-19. There is also a bias favouring boys in household education expenditure allocation, given positive expenditure, when children are between 10-14 years of age, driven mainly by extra tuition fees. Quite notably, once the households have decided to educate a child beyond the upper-primary level (i.e., beyond grade 8), there is no gender based expenditure bias and an equal proportion of boys and girls are sent to private school that provides better quality education.

Suggested Citation

  • Himaz, Rozana, 2009. "Is there a boy bias in household education expenditure: the case of Andhra Pradesh in India," MPRA Paper 21889, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:21889
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/21889/1/MPRA_paper_21889.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Deaton,Angus & Muellbauer,John, 1980. "Economics and Consumer Behavior," Cambridge Books, Cambridge University Press, number 9780521296762.
    2. Rozana Himaz, 2010. "Intrahousehold Allocation of Education Expenditure: The Case of Sri Lanka," Economic Development and Cultural Change, University of Chicago Press, vol. 58(2), pages 231-258, January.
    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. Azam, Mehtabul & Kingdon, Geeta Gandhi, 2013. "Are Girls the Fairer Sex in India? Revisiting Intra-Household Allocation of Education Expenditure," World Development, Elsevier, vol. 42(C), pages 143-164.
    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. Manik Kumar & Nicky Naincy, 2020. "Revisiting the Gender Gap in Private Household Expenditure on Education in India: An Empirical Analysis," Paradigm, , vol. 24(2), pages 164-176, December.
    4. Amitava Saha, 2013. "An Assessment of Gender Discrimination in Household Expenditure on Education in India," Oxford Development Studies, Taylor & Francis Journals, vol. 41(2), pages 220-238, June.
    5. Iddrisu, Abdul Malik & Danquah, Michael & Quartey, Peter & Ohemeng, Williams, 2018. "Gender bias in households’ educational expenditures: Does the stage of schooling matter?," World Development Perspectives, Elsevier, vol. 10, pages 15-23.
    6. Seema Narayan & Tri Tung Nguyen & Xuan-Hoa Nghiem, 2021. "Does Economic Integration Increase Female Labour Force Participation? Labour Force Participation?," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 24(1), pages 1-34, March.

    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. Kenayathulla, Husaina Banu, 2016. "Gender differences in intra-household educational expenditures in Malaysia," International Journal of Educational Development, Elsevier, vol. 46(C), pages 59-73.
    2. J. K. Pappalardo, 2022. "Economics of Consumer Protection: Contributions and Challenges in Estimating Consumer Injury and Evaluating Consumer Protection Policy," Journal of Consumer Policy, Springer, vol. 45(2), pages 201-238, June.
    3. Rajeev K. Goel & Shoji Haruna, 2021. "Unmasking the demand for masks: Analytics of mandating coronavirus masks," Metroeconomica, Wiley Blackwell, vol. 72(3), pages 580-591, July.
    4. Lee, Jonq-Ying & Brown, Mark G. & Schwartz, Brooke, 1986. "The Demand For National Brand And Private Label Frozen Concentrated Orange Juice: A Switching Regression Analysis," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 11(1), pages 1-7, July.
    5. Richard Chisik & Nazanin Behzadan & Harun Onder & Apurva Sanghi, 2016. "Aid, Remittances, the Dutch Disease, Refugees, and Kenya," Working Papers 062, Ryerson University, Department of Economics.
    6. Hirte, Georg & Tscharaktschiew, Stefan, 2018. "The impact of anti-congestion policies and the role of labor-supply margins," CEPIE Working Papers 04/18, Technische Universität Dresden, Center of Public and International Economics (CEPIE).
    7. Brito Paulo & Marini Giancarlo & Piergallini Alessandro, 2016. "House prices and monetary policy," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(3), pages 251-277, June.
    8. Ugo Colombino & Nizamul Islam, 2021. "Combining microsimulation and optimization to identify optimal universalistic tax-transfer rule," LISER Working Paper Series 2021-06, Luxembourg Institute of Socio-Economic Research (LISER).
    9. Smith, Lisa C. & Chavas, Jean-Paul, 1999. "Supply response of West African agricultural households," FCND discussion papers 69, International Food Policy Research Institute (IFPRI).
    10. Gregory J. Colman & Dahlia K. Remler, 2008. "Vertical equity consequences of very high cigarette tax increases: If the poor are the ones smoking, how could cigarette tax increases be progressive?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 27(2), pages 376-400.
    11. James L Swofford, 2000. "Microeconomic foundations of an optimal currency area," Review of Financial Economics, John Wiley & Sons, vol. 9(2), pages 121-128, December.
    12. Bernard M. S. van Praag & Nico L. van der Sar, 1988. "Household Cost Functions and Equivalence Scales," Journal of Human Resources, University of Wisconsin Press, vol. 23(2), pages 193-210.
    13. Junichi Minagawa & Thorsten Upmann, 2019. "Price Effects on Compound Commodities," Scandinavian Journal of Economics, Wiley Blackwell, vol. 121(2), pages 630-646, April.
    14. Albert van der Horst & Arjan Lejour & Bas Straathof, 2006. "Innovation policy; Europe or the member states?," CPB Document 132.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
    15. Richards, Timothy J. & Patterson, Paul M., 2000. "New Varieties And The Returns To Commodity Promotion: The Case Of Fuji Apples," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 29(1), pages 1-14, April.
    16. Tarkka, Juha & Willman, Alpo & Rasi, Chris-Marie, 1989. "Labour supply, wages and prices in the BOF4 quarterly model of the Finnish economy," Research Discussion Papers 6/1989, Bank of Finland.
    17. Dong, C. & Li, S., 2021. "Specification Lasso and an Application in Financial Markets," Cambridge Working Papers in Economics 2139, Faculty of Economics, University of Cambridge.
    18. Curtis, John & Lynch, Muireann Á. & Zubiate, Laura, 2016. "The impact of the North Atlantic Oscillation on electricity markets: A case study on Ireland," Energy Economics, Elsevier, vol. 58(C), pages 186-198.
    19. Trajtenberg, Manuel, 1989. "Product Innovations, Price Indices and the (Mis)Measurement of Economic Performance," Foerder Institute for Economic Research Working Papers 275471, Tel-Aviv University > Foerder Institute for Economic Research.
    20. Jeremy Lise & Shannon Seitz, 2011. "Consumption Inequality and Intra-household Allocations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 78(1), pages 328-355.

    More about this item

    Keywords

    Intrahousehold education gender India;

    JEL classification:

    • I0 - Health, Education, and Welfare - - General
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

    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:pra:mprapa:21889. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.