Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
The study examines how unequal access to education affects individuals’ future income generation. An individual’s access to education has been defined by certain key variables -family size, the distance of the school from home, location of the school, level of education of parents, availability of financial aid, expenditure on education, quota facility, etc. The study is cross-sectional in nature, drawing data from employees of all levels working at the Bangladesh University of Professionals. The paper reveals that an individual’s level of education, parents’ education level, expenditure on education, financial aid, and quota facility have a significant positive effect on income generation in the future. On the contrary, family size, both location and distance of the school have a negative impact on income generation. It is shown that access to education is hindered for individuals completing schools at sub-urban or rural locations than those from urban regions which culminate into the lower-income generation in the future.
Raisha Rahman. 2021. \u201cAccess to Education and Income Inequality Nexus: Findings from a Cross-sectional Survey\u201d. Global Journal of Human-Social Science - E: Economics GJHSS-E Volume 21 (GJHSS Volume 21 Issue E6): .
Crossref Journal DOI 10.17406/GJHSS
Print ISSN 0975-587X
e-ISSN 2249-460X
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Total Score: 101
Country: Bangladesh
Subject: Global Journal of Human-Social Science - E: Economics
Authors: Md. Monir (PhD/Dr. count: 0)
View Count (all-time): 126
Total Views (Real + Logic): 1748
Total Downloads (simulated): 827
Publish Date: 2021 11, Wed
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Neural Networks and Rules-based Systems used to Find Rational and
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The study examines how unequal access to education affects individuals’ future income generation. An individual’s access to education has been defined by certain key variables -family size, the distance of the school from home, location of the school, level of education of parents, availability of financial aid, expenditure on education, quota facility, etc. The study is cross-sectional in nature, drawing data from employees of all levels working at the Bangladesh University of Professionals. The paper reveals that an individual’s level of education, parents’ education level, expenditure on education, financial aid, and quota facility have a significant positive effect on income generation in the future. On the contrary, family size, both location and distance of the school have a negative impact on income generation. It is shown that access to education is hindered for individuals completing schools at sub-urban or rural locations than those from urban regions which culminate into the lower-income generation in the future.
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