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Complementarity in Demand-side Variables and Educational Participation

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  • Anjan Ray Chaudhury
  • Dipankar Das
  • Sreemanta Sarkar

Abstract

Decision to participate in education depends on the circumstances individual inherits and on the returns to education she expects as well. If one person from any socio-economically disadvantaged social group inherits poor circumstances measured in terms of family background, then she is having poor opportunities vis-\`a-vis her capability set becomes confined. Accordingly, her freedom to choose the best alternative from many is also less, and she fails to expect the potential returns from educational participation. Consequently, a complementary relationship between the circumstances one inherits and the returns to education she expects can be observed. This paper is an attempt to look at this complementarity on the basis of theoretical logic and empirical investigation, which enables us to unearth the origin of inter-group disparity in educational participation, as is existed across the groups defined by taking caste and gender together in Indian society. Furthermore, in the second piece of analysis, we assess the discrimination in the likelihood of educational participation by invoking the method of decomposition of disparity in the likelihood of educational participation applicable in the logistic regression models, which enables us to re-establish the earlier mentioned complementary relationship.

Suggested Citation

  • Anjan Ray Chaudhury & Dipankar Das & Sreemanta Sarkar, 2023. "Complementarity in Demand-side Variables and Educational Participation," Papers 2303.04647, arXiv.org, revised Apr 2023.
  • Handle: RePEc:arx:papers:2303.04647
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    References listed on IDEAS

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    1. Sonalde Desai & Veena Kulkarni, 2008. "Changing educational inequalities in india in the context of affirmative action," Demography, Springer;Population Association of America (PAA), vol. 45(2), pages 245-270, May.
    2. Sen, Amartya, 2001. "Development as Freedom," OUP Catalogue, Oxford University Press, number 9780192893307.
    3. Masterson, Thomas, 2012. "An Empirical Analysis of Gender Bias in Education Spending in Paraguay," World Development, Elsevier, vol. 40(3), pages 583-593.
    4. Sen, Amartya, 1997. "On Economic Inequality," OUP Catalogue, Oxford University Press, number 9780198292975.
    5. Geeta Kingdon & Nicolas Theopold, 2006. "Do returns to education matter to schooling participation?," Economics Series Working Papers GPRG-WPS-052, University of Oxford, Department of Economics.
    6. Anjan Ray Chaudhury & Madhabendra Sinha, 2020. "Does Education Produce Identical Labour Market Outcomes for All? A Study on India," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 14(3), pages 309-331, August.
    7. Gary S. Becker, 1975. "Human Capital: A Theoretical and Empirical Analysis, with Special Reference to Education, Second Edition," NBER Books, National Bureau of Economic Research, Inc, number beck75-1, March.
    8. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    9. Viktoria Hnatkovska & Amartya Lahiri & Sourabh Paul, 2012. "Castes and Labor Mobility," American Economic Journal: Applied Economics, American Economic Association, vol. 4(2), pages 274-307, April.
    10. Harper, Barry & Haq, Mohammad, 1997. "Occupational Attainment of Men in Britain," Oxford Economic Papers, Oxford University Press, vol. 49(4), pages 638-650, October.
    11. Kijima, Yoko, 2006. "Caste and Tribe Inequality: Evidence from India, 1983-1999," Economic Development and Cultural Change, University of Chicago Press, vol. 54(2), pages 369-404, January.
    12. Baldwin, Marjorie L & Butler, Richard J & Johnson, William G, 2001. "A Hierarchical Theory of Occupational Segregation and Wage Discrimination," Economic Inquiry, Western Economic Association International, vol. 39(1), pages 94-110, January.
    13. Francisco H. G. Ferreira & Jérémie Gignoux, 2011. "The Measurement Of Inequality Of Opportunity: Theory And An Application To Latin America," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 57(4), pages 622-657, December.
    14. Francisco H.G. Ferreira & Jérémie Gignoux, 2011. "The Measurement of Inequality of Inequality of Opportunity: Theory and an Application to Latin America," PSE-Ecole d'économie de Paris (Postprint) halshs-00754503, HAL.
    15. Anjan Ray chaudhury, 2013. "Interpreting the concept of representational inequality to reckon between-group inequality for different types of data," Economics Bulletin, AccessEcon, vol. 33(4), pages 2890-2904.
    16. Borooah, Vani & Iyer, Sriya, 2005. "The Decomposition of Inter-Group Differences in a Logit Model: Extending the Oaxaca-Blinder Approach with an Application to School Enrolment in India," MPRA Paper 19418, University Library of Munich, Germany.
    17. Zafar Mueen Nasir, 2005. "An Analysis of Occupational Choice in Pakistan: A Multinomial Approach," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 44(1), pages 57-79.
    18. 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.
    19. Kanbur, Ravi, 2016. "Capability, Opportunity, Outcome - - And Equality," Working Papers 250027, Cornell University, Department of Applied Economics and Management.
    20. Nielsen, Helena Skyt, 1998. "Discrimination and detailed decomposition in a logit model," Economics Letters, Elsevier, vol. 61(1), pages 115-120, October.
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