Gender Bias and Intergenerational Educational Mobility: Theory and Evidence from China and India

85 Pages Posted: 19 May 2020 Last revised: 26 May 2020

See all articles by M. Shahe Emran

M. Shahe Emran

George Washington University - Department of Economics

Hanchen Jiang

University of North Texas - Department of Economics

Forhad Shilpi

World Bank - Development Research Group (DECRG)

Multiple version iconThere are 2 versions of this paper

Date Written: May 18, 2020

Abstract

This paper incorporates gender bias against girls in the family, school and labor market in a model of intergenerational persistence in schooling where parents self-finance children's education because of credit market imperfections. Parents may underestimate a girl's ability, expect lower returns, and assign lower weights to their welfare ("pure son preference"). The model delivers the widely used linear conditional expectation function under constant returns and separability but generates an irrelevance result: parental bias does not affect relative mobility. With diminishing returns and complementarity, the conditional expectation function can be concave or convex, and parental bias affects both relative and absolute mobility. This paper tests these predictions in India and China using data not subject to coresidency bias. The evidence rejects the linear conditional expectation function in rural and urban India in favor of a concave relation. Girls in India face lower mobility irrespective of location when born to fathers with low schooling, but the gender gap closes when the father is college educated. In China, the conditional expectation function is convex for sons in urban areas, but linear in all other cases. The convexity supports the complementarity hypothesis of Becker et al. (2018) for the urban sons and leads to gender divergence in relative mobility for the children of highly educated fathers. In urban China, and urban and rural India, the mechanisms are underestimation of the ability of girls and unfavorable school environment. There is some evidence of pure son preference in rural India. The girls in rural China do not face bias in financial investment by parents, but they still face lower mobility when born to uneducated parents. Gender barriers in rural schools seem to be the primary mechanism.

Keywords: Educational Sciences, Gender and Development, Economics of Education, Rural Labor Markets, Labor Markets, Inequality

Suggested Citation

Emran, M. Shahe and Jiang, Hanchen and Shilpi, Forhad, Gender Bias and Intergenerational Educational Mobility: Theory and Evidence from China and India (May 18, 2020). World Bank Policy Research Working Paper No. 9250, Available at SSRN: https://ssrn.com/abstract=3604699

M. Shahe Emran (Contact Author)

George Washington University - Department of Economics ( email )

2115 G Street NW
302 Monroe Hall
Washington, DC 20052
United States

Hanchen Jiang

University of North Texas - Department of Economics ( email )

Denton, TX 76203-1457
United States

Forhad Shilpi

World Bank - Development Research Group (DECRG) ( email )

1818 H. Street, N.W.
MSN3-311
Washington, DC 20433
United States
202-458-7476 (Phone)
202-522-1151 (Fax)

Do you have negative results from your research you’d like to share?

Paper statistics

Downloads
37
Abstract Views
299
PlumX Metrics