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<title>2019</title>
<link>https://repository.auw.edu.bd/handle/123456789/1158</link>
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<dc:date>2026-05-19T17:04:13Z</dc:date>
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<title>An Economic Analysis of the Gender Gap in Household Demand for Education: Evidence from India</title>
<link>https://repository.auw.edu.bd/handle/123456789/1236</link>
<description>An Economic Analysis of the Gender Gap in Household Demand for Education: Evidence from India
Das, Suparna
Education plays a crucial role in building tomorrow’s human capital, and thus, it is an essential&#13;
tool for economic growth and development. Following the second Millennium Development&#13;
Goal’s (MDG) (2000) call for achieving universal school education by 2015, extensive government&#13;
initiatives with special emphasis on girls were undertaken in India. Access to education has shown&#13;
tremendous progress and became successful in bringing almost all potential pupils to primary&#13;
(standard I-V) school. However, starting from the elementary (standard VI-VIII) level onwards,&#13;
the gender gap in enrollment persists and widens with the level of education in India.&#13;
This paper quantifies the gender difference in enrollment decisions for children and&#13;
provides a theoretical structure to the underlying demand-side factors that influence parents in&#13;
keeping girls out of the post-primary education system compared to boys.&#13;
The analysis uses the 2nd round dataset of the India Human Development Survey (IHDS),&#13;
published in 2012 and finds a significant gender gap in enrollment. A girl child is on average, 3.6%&#13;
less likely to continue schooling compared to a boy, ceteris paribus. The enrollment probability of&#13;
girls worsens with higher birth order; an eldest sister has a significantly lower probability (5.2%)&#13;
of continuing school education compared to an eldest brother, keeping other things same. Further,&#13;
it also finds that beyond the age of 14 when children are no longer entitled to get free compulsory&#13;
education under Right to Education (RTE), girls’ enrollment probability declines. For example, a&#13;
girl above the age of 14 is 7.8% less likely to continue schooling, and if she is an eldest sister&#13;
among siblings, her probability of discontinuing schooling is11% compared to that of boys in&#13;
similar conditions. Labor market variables especially returns on education and variability in wages,&#13;
play crucial and significant roles in the schooling decision of children. Parents’ reciprocity&#13;
expectation is also found responsible for lower enrollment of girls compared to boys.
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<dc:date>2019-01-01T00:00:00Z</dc:date>
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