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VOL. 3, ISSUE 6 (2017)
Determinants of educational exclusion in India: An analysis of NSS 2013–14 data
Authors
Ramesh Gangavath, Laxminarayana Katt
Abstract
This study investigates the socio-economic and demographic predictors
of out-of-school children in India, using nationally representative unit-level
data from the 71st round of the National Sample Survey (2014). Employing four
multivariate logistic regression models separately for rural and urban areas,
the analysis distinguishes between children who have never attended school and
those who have dropped out after enrolment. The findings reveal that children
from economically disadvantaged households, those with illiterate household
heads, and those belonging to Scheduled Castes, Scheduled Tribes, Other
Backward Classes, and Muslim communities are significantly more likely to be
out of school. In rural areas, the physical distance to school emerges as a key
barrier to continued attendance, particularly among older children. Gender and
age are also influential, with rural girls more likely to never attend school
and older children (14–15 years) at greater risk of dropping out in both rural
and urban contexts. The study highlights the persistence of structural
inequalities in education and calls for targeted, equity-oriented policy
interventions to ensure universal school participation and retention.
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Pages:54-59
How to cite this article:
Ramesh Gangavath, Laxminarayana Katt "Determinants of educational exclusion in India: An analysis of NSS 2013–14 data". International Journal of Humanities and Social Science Research, Vol 3, Issue 6, 2017, Pages 54-59
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