2019
DOI: 10.1007/s13209-019-0201-0
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The effect of education on health: evidence from national compulsory schooling reforms

Abstract: This paper sheds light on the causal relationship between education and health outcomes. We combine three surveys (SHARE, HRS and ELSA) that include nationally representative samples of people aged 50 and over from fourteen OECD countries. We use variation in the timing of educational reforms across these countries as an instrument for education. Using IV-probit models, we find causal evidence that more years of education lead to better health. One additional year of schooling is associated with 6.85 percentag… Show more

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Cited by 22 publications
(16 citation statements)
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References 45 publications
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“…Previous studies in this area share the consensus that older women have an elevated risk for depressive symptoms, are increasingly diagnosed with depressive disorders and are less positive with regard to their perceived health in comparison with men [ 41 , 43 , 44 , 45 , 46 ]. In more stable standing, health literature has established the protective factor provided by education [ 47 , 48 , 49 ]. Our results confirmed this negative association with our health outcomes, where tertiary level education in particular showed larger magnitudes versus that for the secondary level.…”
Section: Discussionmentioning
confidence: 99%
“…Previous studies in this area share the consensus that older women have an elevated risk for depressive symptoms, are increasingly diagnosed with depressive disorders and are less positive with regard to their perceived health in comparison with men [ 41 , 43 , 44 , 45 , 46 ]. In more stable standing, health literature has established the protective factor provided by education [ 47 , 48 , 49 ]. Our results confirmed this negative association with our health outcomes, where tertiary level education in particular showed larger magnitudes versus that for the secondary level.…”
Section: Discussionmentioning
confidence: 99%
“…The genetic risk score of these SNPs explained 2.0% of the variance in childhood BMI [19]. To avoid potential confounding, we looked up each instrument SNP and their proxies (r 2 > 0.8) in the PhenoScanner GWAS database (http://phenoscanner.medschl.cam.ac.uk) [28,29] to assess any previous associations (P < 0.0033 (0.05/15)) with 4 plausible confounders selected based on previously published studies: birth weight [19,30,31], years of educational attainment and age completed full time education [32][33][34], and maternal smoking around birth [35][36][37][38]. Two SNPs were associated with a potential confounder (rs12041852, maternal smoking around birth, P = 7.43 × 10 −5 ; rs12507026 (in LD with rs13130484), years of educational attainment, P = 0.0028), resulting a set of 13 SNPs for further analysis.…”
Section: Instruments Selectionmentioning
confidence: 99%
“…Less-educated individuals have less healthy lifestyles: (1) eat less fruits and vegetables (Jaime, et al, 2015); (2) smoke more; and (3) are more likely to be physically inactive (Barros, et al, 2016;Piirtola, et al, 2016). Similar results were found for blacks and browns (Beard, et al, 2019;Malta, et al, 2015;Patrão, et al, 2017), indicating that race and educational level impact health through different relationships and with varying magnitudes Chor, 2013;Fonseca, et al, 2020;Mays, et al, 2007).…”
Section: Discussionmentioning
confidence: 86%