A panel data analysis of the effect of well-being on PISA maths skills from the perspective of equality

Orhun Kaptan (), Aydın Karabay () and İbrahim Kocabaş ()
Additional contact information
Orhun Kaptan: Yıldız Technical University
Aydın Karabay: Yıldız Technical University
İbrahim Kocabaş: Fatih Sultan Mehmet Foundation University

Quality & Quantity: International Journal of Methodology, 2023, vol. 57, issue 6, No 30, 5577-5597

Abstract: Abstract Being one of the earliest focuses of debates in human history, equality remains to be a significant determiner of student achievement, and we believe that it is important to understand why and how inequalities influence student achievement. In this study, we analyzed well-being indicators in the “How’s Life? Well-being” data set provided by the Organization for Economic Co-operation and Development (OECD) with a pooled effect model panel data analysis to comprehend the effect of well-being on the Program for International Student Assessment (PISA) maths skills of students. The dataset we worked on includes data from the years 2006, 2009, 2012, 2015, and 2018, when PISA tests were carried out and we analyzed data from 37 OECD countries. We found that PISA math skills scores have a negative correlation with economic factors of household income, employment rate, and youth neither in employment, education, or training, and have a positive correlation with the gender wage gap, and deprivation of adequate health condition indicators. We suggest further analysis with the methods of discriminant and cluster analysis to comprehend common traits of countries that have high scores on the PISA tests.

Keywords: OECD well-being; Equality in education; Panel data analysis; PISA maths skills; Pooled OLS regression (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11135-023-01624-9 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:qualqt:v:57:y:2023:i:6:d:10.1007_s11135-023-01624-9

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11135

DOI: 10.1007/s11135-023-01624-9

Access Statistics for this article

Quality & Quantity: International Journal of Methodology is currently edited by Vittorio Capecchi

More articles in Quality & Quantity: International Journal of Methodology from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().