4.6 Article

How Does Education Quality Affect Economic Growth?

Journal

SUSTAINABILITY
Volume 13, Issue 11, Pages -

Publisher

MDPI
DOI: 10.3390/su13116437

Keywords

economics of education; educational policy; international education; studies; economic growth; PISA test

Funding

  1. National Science Centre, Poland [2015/17/B/HS4/02095]
  2. University of Warsaw
  3. The Maria Grzegorzewska University
  4. SGH Warsaw School of Economics

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The study extended and modified Hanushek and Woessmann's approach using PISA test results to explain GDP changes over the last 50 years. Panel data and statistical methods were used to analyze the relationship, confirming the significance of early education quality as a significant growth factor for GDP.
In a seminal article, Hanushek and Woessmann explained economic growth as a function of the quality of education. While they did not find evidence of the importance of years of schooling, they argued for the relevance of cognitive skills and a basic literacy ratio for economic growth. However, this result was based on cross-country data limited to 23 observations. In this study, we extended and modified their approach based on the results of PISA (Programme for International Student Assessment) tests to explain the GDP changes over the last 50 years. Using panel data, we considered the possible lag that characterizes this relationship, used statistical methods to address the risk of reversed causality of economic performance affecting the quality of education, and extended the model by the inclusion of other potential growth factors. The results, which also included several robustness checks, confirmed the relevance of earlier education quality as a significant growth factor. Our results suggest the significance of educational skills for GDP growth, which might be treated as a confirmation of the importance of quality primary and secondary education for economic development. We showed that our results are robust to changes in the order of lags and confirmed the validity of the conclusion with the use of specification-robust Bayesian model averaging.

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