Robust Bma Analysis with Gini Regressions : An Application to PISA Scores

We revisit the relationship between pre-primary education and achievement test scores in the primary school, by employing a Bayesian Model Averaging (BMA) approach combined with Gini regression estimates. The data are taken from the OECD Programme for International Student Assessment (PISA) for the year 2018, for two countries, Finland and Singapore. We find evidence in support of attending pre-primary institutions for both countries

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Year of publication:	[2023]
Authors:	Dimiski, Anastasia ; Kourtellos, Andros ; Stengos, Thanasis
Publisher:	[S.l.] : SSRN
Subject:	Regressionsanalyse \| Regression analysis \| Bildungsniveau \| Educational achievement \| Robustes Verfahren \| Robust statistics \| Schätztheorie \| Estimation theory \| Gini-Koeffizient \| Gini coefficient \| Schüler \| Pupils

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Extent:	1 Online-Ressource (7 p)
Type of publication:	Book / Working Paper
Language:	English
Other identifiers:	10.2139/ssrn.4392171 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10014358565