An Extended Dataset of Educational Quality Across Countries (1970–2023)

Hanol Lee and Jong-Wha Lee ()
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Jong-Wha Lee: Economics Department, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Republic of Korea

Data, 2025, vol. 10, issue 8, 1-8

Abstract: This study presents an extended dataset on educational quality covering 101 countries, from 1970 to 2023. While existing international assessments, such as the Programme for International Student Assessment (PISA) and Trends in International Mathematics and Science Study (TIMSS), offer valuable snapshots of student performance, their limited coverage across countries and years constrains broader analyses. To address this limitation, we harmonized observed test scores across assessments and imputed missing values using both linear interpolation and machine learning (Least Absolute Shrinkage and Selection Operator (LASSO) regression). The dataset included (i) harmonized test scores for 15 year olds, (ii) annual educational quality indicators for the 15–19 age group, and (iii) educational quality indexes for the working-age population (15–64). These measures are provided in machine-readable formats and support empirical research on human capital, economic development, and global education inequalities across economies.

Keywords: educational quality; machine learning; PISA; TIMSS; test scores; cross-country dataset (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2025
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