Factors that affect Students’ performance in Science: An application using Gini-BMA methodology in PISA 2015 dataset
Anastasia Dimiski ()
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Anastasia Dimiski: Department of Economics and Finance, University of Guelph, Guelph ON Canada
No 2004, Working Papers from University of Guelph, Department of Economics and Finance
Existing theoretical and empirical evidence on the determinants of students’ performance is relatively short. Even more narrow is the literature that examines the impact of pre-primary education on students’ academic performance. Relying on the first-of-its-kind of the 2015 wave data from the Programme of International Student Assessment (PISA), the present study thoroughly discusses the associations between Students’ performance in Science and a set of variables that are classified into 14 categories, including attendance and non-attendance in pre-primary education. To implement this research question, Gini-BMA approach is employed, which accounts for theory uncertainty. It is found that, among the factors, attendance in pre-primary education (i.e. PC11) is a robust determinant of students’ performance in science. However, this result is supported only under the Gini methodology.
Keywords: students’ performance; pre-primary education; Gini regression coefficient; BMA methodology; PISA. (search for similar items in EconPapers)
JEL-codes: C11 C38 I21 J24 (search for similar items in EconPapers)
Pages: 32 pages
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Persistent link: https://EconPapers.repec.org/RePEc:gue:guelph:2020-04
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