The Economics of International Differences in Educational Achievement

Working Paper: NBER ID: w15949

Authors: Eric A. Hanushek; Ludger Woessmann

Abstract: An emerging economic literature over the past decade has made use of international tests of educational achievement to analyze the determinants and impacts of cognitive skills. The cross-country comparative approach provides a number of unique advantages over national studies: It can exploit institutional variation that does not exist within countries; draw on much larger variation than usually available within any country; reveal whether any result is country-specific or more general; test whether effects are systematically heterogeneous in different settings; circumvent selection issues that plague within-country identification by using system-level aggregated measures; and uncover general-equilibrium effects that often elude studies in a single country. The advantages come at the price of concerns about the limited number of country observations, the mostly cross-sectional character of available achievement data, and possible bias from unobserved country factors such as culture. \n \nThis chapter reviews the economic literature on international differences in educational achievement, restricting itself to comparative analyses that are not possible within single countries and placing particular emphasis on studies trying to address key issues of empirical identification. While quantitative input measures show little impact, several measures of institutional structures and of the quality of the teaching force can account for significant portions of the immense international differences in the level and equity of student achievement. Variations in skills measured by the international achievement tests are in turn strongly related to individual labor-market outcomes and, perhaps more importantly, to cross-country variations in economic growth.

Keywords: Cognitive Skills; Educational Achievement; Economic Growth; International Tests; Human Capital

JEL Codes: H4; H5; I20; J24; J31; O15; O4; P5


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
cognitive skills (G53)individual labor-market outcomes (J49)
cognitive skills (G53)economic growth (O49)
institutional factors (D02)educational achievement (I24)
institutional factors (D02)economic outcomes (F61)
educational achievement (I24)economic outcomes (F61)

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