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Factors associated with decisions to...
~
Chudgar, Amita Rantidev.
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Factors associated with decisions to educate sons and daughters in India.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Factors associated with decisions to educate sons and daughters in India./
Author:
Chudgar, Amita Rantidev.
Description:
198 p.
Notes:
Source: Dissertation Abstracts International, Volume: 67-05, Section: A, page: 1692.
Contained By:
Dissertation Abstracts International67-05A.
Subject:
Education, Sociology of. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3219248
ISBN:
9780542705861
Factors associated with decisions to educate sons and daughters in India.
Chudgar, Amita Rantidev.
Factors associated with decisions to educate sons and daughters in India.
- 198 p.
Source: Dissertation Abstracts International, Volume: 67-05, Section: A, page: 1692.
Thesis (Ph.D.)--Stanford University, 2006.
More than fifty years after independence, India has failed to attain universal primary enrollment and education participation is marked by distinct gender differences. At all levels of education, girls are less likely to enroll, more likely to drop out and in general have lower educational attainment.
ISBN: 9780542705861Subjects--Topical Terms:
626654
Education, Sociology of.
Factors associated with decisions to educate sons and daughters in India.
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198 p.
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Source: Dissertation Abstracts International, Volume: 67-05, Section: A, page: 1692.
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Adviser: Myra Strober.
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Thesis (Ph.D.)--Stanford University, 2006.
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More than fifty years after independence, India has failed to attain universal primary enrollment and education participation is marked by distinct gender differences. At all levels of education, girls are less likely to enroll, more likely to drop out and in general have lower educational attainment.
520
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In this research I focus on identifying the key contextual factors associated with decisions to send children to school in India using hierarchical linear models and regression models for categorical variables on a nationally representative 70,000 household dataset. I am particularly interested in identifying the contextual factors that explain the observed gender differences in school participation. For this study, 'context' of the family is defined as the characteristics of the district the family resides in.
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The two key questions that guide this study are, Do the characteristics of the district in which the family resides matter in the schooling decisions concerning their children? If the characteristics of the districts do matter, then what district level characteristics are specifically related to observed gender differences in school participation?
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Based on the literature I identified various contextual factors that I broadly divided into economic, social and infrastructural to define the overall context of the family at the district level. In repeated models of urban and rural areas, southeast region and northwest region, minority (traditionally disadvantaged castes) and non-minority children, I find that the district level social context of the family is the key to explaining the variance in the odds that a girl would participate in schooling compared to a boy. In repeated models, these social context variables measured as 'percent of illiterate women at district level', 'women's exposure to media at district level' and, 'women's autonomy in family decision making at district level', consistently outperformed economic and infrastructure variables in explaining or capturing the variance in odds of girls' school participation. In other words, the findings show that girls from two very similar families living in two different social contexts may have a hugely different likelihood of school participation.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3219248
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