IDEAS home Printed from https://ideas.repec.org/p/wpa/wuwpdc/0409037.html
   My bibliography  Save this paper

Where has all the bias gone? Detecting gender-bias in the household allocation of educational expenditure

Author

Listed:
  • Geeta Kingdon

    (Centre for the Study of African Economies)

Abstract

The reliability of the household consumption based (Engel curve) methodology in detecting gender bias has been called into question because it has generally failed to confirm bias even where it exists. This paper seeks to find explanations for this failure by exploiting a dataset that has educational expenditure information at the individual level and also, by aggregation, at the household level. We find that in the basic education age groups, the discriminatory mechanism in education is via differential enrolment rates for boys and girls. Education expenditure conditional on enrolment is equal for boys and girls. The Engel curve method fails for two reasons. Firstly, it models a single equation for the two stage process. Second, even when we make individual and household level expenditure equations as similar as possible, the household level equation still fails to ‘pick up’ gender bias in about one third of the cases where the individual-level equation shows significant bias. The paper concludes that only individual based data can accurately capture the full extent of gender bias.

Suggested Citation

  • Geeta Kingdon, 2004. "Where has all the bias gone? Detecting gender-bias in the household allocation of educational expenditure," Development and Comp Systems 0409037, University Library of Munich, Germany.
  • Handle: RePEc:wpa:wuwpdc:0409037
    Note: Type of Document - pdf; pages: 43
    as

    Download full text from publisher

    File URL: https://econwpa.ub.uni-muenchen.de/econ-wp/dev/papers/0409/0409037.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Anne Case & Angus Deaton, 2002. "Consumption, health, gender and poverty," Working Papers 261, Princeton University, Woodrow Wilson School of Public and International Affairs, Center for Health and Wellbeing..
    2. Kingdon, Geeta, 1996. "The Quality and Efficiency of Private and Public Education: A Case-Study of Urban India," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 58(1), pages 57-82, February.
    3. Jean Drèze & Geeta Gandhi Kingdon, 2001. "School Participation in Rural India," Review of Development Economics, Wiley Blackwell, vol. 5(1), pages 1-24, February.
    4. Schultz, T.P., 1990. "Returns To Women'S Education," Papers 603, Yale - Economic Growth Center.
    5. Geeta Gandhi Kingdon & Jeemol Unni, 2001. "Education and Women's Labour Market Outcomes in India," Education Economics, Taylor & Francis Journals, vol. 9(2), pages 173-195.
    6. Geeta Gandhi Kingdon, 1998. "Does the labour market explain lower female schooling in India?," Journal of Development Studies, Taylor & Francis Journals, vol. 35(1), pages 39-65.
    7. Angus Deaton & Christina Paxson, 1998. "Economies of Scale, Household Size, and the Demand for Food," Journal of Political Economy, University of Chicago Press, vol. 106(5), pages 897-930, October.
    8. Duraisamy, P., 2002. "Changes in returns to education in India, 1983-94: by gender, age-cohort and location," Economics of Education Review, Elsevier, vol. 21(6), pages 609-622, December.
    9. Sonia Bhalotra & Cliff Attfield, 1998. "Intrahousehold resource allocation in rural Pakistan: a semiparametric analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(5), pages 463-480.
    10. Jere R. Behrman & Andrew D. Foster & Mark R. Rosenzweig & Prem Vashishtha, 1999. "Women's Schooling, Home Teaching, and Economic Growth," Journal of Political Economy, University of Chicago Press, vol. 107(4), pages 682-714, August.
    11. Geoffrey Lancaster & Pushkar Maitra & Ranjan Ray, 2006. "Endogenous Intra‐household Balance of Power and its Impact on Expenditure Patterns: Evidence from India," Economica, London School of Economics and Political Science, vol. 73(291), pages 435-460, August.
    12. Ahmad, A. & Morduch, J., 1993. "Identifying Sex Bias in the Allocation of Household Resources: Evidence from Linked Household Surveys from Bangladesh," Harvard Institute of Economic Research Working Papers 1636, Harvard - Institute of Economic Research.
    13. Gaurav Datt & Martin Ravallion, 1998. "Why Have Some Indian States Done Better than Others at Reducing Rural Poverty?," Economica, London School of Economics and Political Science, vol. 65(257), pages 17-38, February.
    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. Rozana Himaz, 2008. "Intrahousehold Allocation of Education Expenditure and Returns to Education: The Case of Sri Lanka," Economics Series Working Papers 393, University of Oxford, Department of Economics.
    2. Holger Strulik, 2013. "School Attendance And Child Labor—A Model Of Collective Behavior," Journal of the European Economic Association, European Economic Association, vol. 11(2), pages 246-277, April.
    3. Rana Ejaz Ali Khan & Karamat Ali, 2005. "Bargaining Over Sons' and Daughters' Schooling-Probit Analysis of Household Behavior," HEW 0505002, University Library of Munich, Germany.
    4. Fafchamps, Marcel & Wahba, Jackline, 2006. "Child labor, urban proximity, and household composition," Journal of Development Economics, Elsevier, vol. 79(2), pages 374-397, April.

    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. 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.
    2. Monazza Aslam & Geeta Gandhi Kingdon, 2008. "Gender and household education expenditure in Pakistan," Applied Economics, Taylor & Francis Journals, vol. 40(20), pages 2573-2591.
    3. Rana Ejaz Ali Khan & Karamat Ali, 2005. "Bargaining Over Sons' and Daughters' Schooling-Probit Analysis of Household Behavior," HEW 0505002, University Library of Munich, Germany.
    4. 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.
    5. Sanghamitra Kanjilal-Bhaduri & Francesco Pastore, 2018. "Returns to Education and Female Participation Nexus: Evidence from India," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 61(3), pages 515-536, September.
    6. Koohi-Kamali, Feridoon, 2008. "Intrahousehold inequality and child gender bias in Ethiopia," Policy Research Working Paper Series 4755, The World Bank.
    7. Tiwari, Sandeep Kumar & Paltasingh, Kirtti Ranjan & Jena, Pabitra Kumar, 2020. "Caste-class association and school participation in Uttar Pradesh, India: Evidence from NSSO data," International Journal of Educational Development, Elsevier, vol. 79(C).
    8. 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.
    9. Pal, Sarmistha, 2010. "Public infrastructure, location of private schools and primary school attainment in an emerging economy," Economics of Education Review, Elsevier, vol. 29(5), pages 783-794, October.
    10. Sarmistha Pal, 2008. "Public Infrastructure, Location of Private Schools and Quality of Schooling in an Emerging Economy," CEDI Discussion Paper Series 08-05, Centre for Economic Development and Institutions(CEDI), Brunel University.
    11. Monazza Aslam, 2009. "Education Gender Gaps in Pakistan: Is the Labor Market to Blame?," Economic Development and Cultural Change, University of Chicago Press, vol. 57(4), pages 747-784, July.
    12. Monazza Aslam, 2006. "Rates of Return to Education by Gender in Pakistan," Economics Series Working Papers GPRG-WPS-064, University of Oxford, Department of Economics.
    13. 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.
    14. Tushar Agrawal, 2014. "Gender and caste-based wage discrimination in India: some recent evidence [Geschlecht und Kaste-ansässige Lohndiskriminierung in Indien: Einige Neue Beweise]," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 47(4), pages 329-340, December.
    15. Jacob, Arun, 2016. "Gender Bias in Educational Attainment in India : The Role of Dowry Payments," MPRA Paper 76338, University Library of Munich, Germany.
    16. Sandeep Mohapatra & Bruno Wichmann & Philippe Marcoul, 2018. "Removing The “Veil Of Ignorance”: Nonlinearities In Education Effects On Gender Wage Inequalities," Contemporary Economic Policy, Western Economic Association International, vol. 36(4), pages 644-666, October.
    17. Geeta Gandhi Kingdon & Nicolas Theopold, 2008. "Do returns to education matter to schooling participation? Evidence from India," Education Economics, Taylor & Francis Journals, vol. 16(4), pages 329-350.
    18. repec:pru:wpaper:25 is not listed on IDEAS
    19. Mukherjee, Dipa, 2007. "Post-reform Trends in Wage-Differentials: A Decomposition Analysis for India," MPRA Paper 12754, University Library of Munich, Germany.
    20. Irma Clots-Figueras, 2012. "Are Female Leaders Good for Education? Evidence from India," American Economic Journal: Applied Economics, American Economic Association, vol. 4(1), pages 212-244, January.

    More about this item

    JEL classification:

    • O - Economic Development, Innovation, Technological Change, and Growth
    • P - Political Economy and Comparative Economic Systems

    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:wpa:wuwpdc:0409037. 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: EconWPA (email available below). General contact details of provider: https://econwpa.ub.uni-muenchen.de .

    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.