Inequality of Pre-University Educational Opportunities in Egypt: An Empirical Analysis

Autor/inn/en	Biltagy, Marwa; El Salam, Ghada Mohamed Abd
Titel	Inequality of Pre-University Educational Opportunities in Egypt: An Empirical Analysis
Quelle	In: e-Journal of Business Education and Scholarship of Teaching, 14 (2020) 1, S.139-150 (12 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1835-9132
Schlagwörter	Equal Education; Educational Opportunities; Educational Attainment; Expenditures; Attendance; Elementary Secondary Education; Social Differences; Heads of Households; Place of Residence; Foreign Countries; National Surveys; Access to Education; Regression (Statistics); Urban Areas; Rural Areas; Family Income; Correlation; Egypt + Suchen Sie Ihr Suchwort? Bildungsangebot; Bildungschance; Bildungsabschluss; Bildungsgut; Ausgaben; Anwesenheit; Sozialer Unterschied; Wohnort; Ausland; Education; Access; Bildung; Zugang; Bildungszugang; Regression; Regressionsanalyse; Urban area; Stadtregion; Rural area; Ländlicher Raum; Familieneinkommen; Korrelation; Ägypten
Abstract	Fair distribution of educational opportunities among people means that individuals' access to education doesn't depend on conditions beyond their control such as social class, religion, gender, place of birth or other parental characteristics. This paper addresses the issue of inequality of educational opportunities for pre-university education in Egypt using Human Opportunity Index, based on the data of the Income, Expenditure and Consumption Survey 2014/2015 implemented by the Central Agency for Public Mobilization and Statistics. The paper also uses a logistic regression technique to assess the factors that affect children's educational enrolment. The paper presents several results, the most important one is that primary education in Egypt is fair and equal if compared to preparatory and secondary education in terms of providing educational services. The results of the Logistic Regression (LR) model show that there are many significant variables that affect children's school enrolment i.e. the educational level of the household head and the place of residence. (As Provided).
Anmerkungen	Australian Business Education Research Association. PO Box 408, Mapleton, Queensland 4560, Australia. e-mail: editor@ejbest.org; Web site: http://www.ejbest.org/
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01