Is Gender Destiny? Gender Bias and Intergenerational Educational Mobility in India

M. Shahe Emran, Hanchen Jiang and Forhad Shilpi

No 807, GLO Discussion Paper Series from Global Labor Organization (GLO)

Abstract: We develop a model of intergenerational educational mobility incorporating gender bias against girls in the family, school, and labor market. Mobility and investment equations from the model are estimated for India using data not truncated by coresidency. The standard linear model misses important heterogeneity and yields misleading conclusions. Daughters of uneducated fathers face lower relative and absolute mobility (rural and urban). We find gender equality in absolute mobility for children of urban college educated fathers, but not in rural areas. Theoretical insights help understand the mechanisms. Parental nonfinancial inputs, unwanted girls, and patrilineal states are important for explaining the findings.

Keywords: Gender Bias; Intergenerational Mobility; Education; Becker-Tomes Model; Heterogeneity; Son Preference; Unwanted Girls; India; Patrilineal; Matrilineal; Coresidency Bias (search for similar items in EconPapers)
JEL-codes: I24 J16 J62 O20 (search for similar items in EconPapers)
Date: 2021
New Economics Papers: this item is included in nep-dev and nep-ore
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.econstor.eu/bitstream/10419/232260/1/GLO-DP-0807.pdf (application/pdf)

Related works:
Working Paper: Is Gender Destiny? Gender Bias and Intergenerational Educational Mobility in India (2021)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:zbw:glodps:807

Access Statistics for this paper

More papers in GLO Discussion Paper Series from Global Labor Organization (GLO) Contact information at EDIRC.
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics ().