Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/328104 
Year of Publication: 
2021
Citation: 
[Journal:] Review of Economic Analysis (REA) [ISSN:] 1973-3909 [Volume:] 13 [Issue:] 2 [Year:] 2021 [Pages:] 157-211
Publisher: 
International Centre for Economic Analysis (ICEA), Waterloo (Ontario)
Abstract: 
Existing theoretical and empirical evidence on the determinants of students’ performance reveals a direct link between pre-primary education and achievement test scores in primary school. Relying on the first-of-its-kind 2015 wave data from the Programme of International Student Assessment (PISA), the present study analyses the associations between students’ performance in science and a broad set of variables, including regressors that proxy pre-primary education. Employing a Gini Regression Bayesian Model Averaging (BMA) approach to account for model uncertainty, it is found that non-attendance in pre-primary education is a robust determinant with a negative impact on students’ performance in science. This result is confirmed both under Gini-BMA and OLS-BMA methodology.
Subjects: 
students’ performance
pre-primary education
Gini regression coefficient
BMA methodology
PISA
JEL: 
C11
C38
I21
J24
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc Logo
Document Type: 
Article

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