Three Essays in the Economics of pre-primary school education: An application of Gini-BMA methodology

dc.contributor.advisorStengos, Thanasis
dc.contributor.authorDimiski, Anastasia of Economics and Financeen_US of Guelphen of Philosophyen_US
dc.description.abstractExisting 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.en_US
dc.identifier.citationDimiski, Anastasia. (2021). Factors that Affect Students' Performance In Science: An Application Using Gini-BMA Methodology On PISA 2015 Dataset. Review of Economic Analysis. 13: 157-211.
dc.publisherUniversity of Guelphen
dc.rights.licenseAll items in the Atrium are protected by copyright with all rights reserved unless otherwise indicated.
dc.subjectStudents’ performanceen_US
dc.subjectpre-primary educationen_US
dc.subjectGini regression coefficienten_US
dc.subjectBMA methodologyen_US
dc.titleThree Essays in the Economics of pre-primary school education: An application of Gini-BMA methodologyen_US
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