The influence of education on healthan empirical assessment of OECD countries for the period 1995–2015

If you want to predict how long a country's citizens will live, would you look at how many hospitals it has or how many people finished university? Across twenty-six countries and two decades of data, education level tracks life expectancy more closely than health spending does. That finding sits at the center of a study by Viju Raghupathi and Wullianallur Raghupathi, and everything that follows is about understanding why. Why should schooling predict lifespan at all? The researchers draw on three major theoretical answers. The first is Fundamental Cause Theory — the idea that education sorts people into different access to the resources that protect health: income, safer neighborhoods, social connections, and the knowledge to respond when new health threats emerge. Education gives people flexible resources, and flexible resources let people dodge new risks. The second answer comes from Human Capital Theory, which treats education as an investment that literally builds internal capacity — the ability to recognize symptoms, use preventive care, and make healthier choices. The third answer is the credentialing or signaling perspective. This one points to the striking jumps in health outcomes that occur at twelve and sixteen years of schooling — the points typically associated with a high school diploma and a college degree — and interprets those discontinuities as evidence that credentials themselves change life chances, independent of what was learned. All three theories converge on the same empirical fact. They just disagree about the mechanism. To test these ideas at scale, Raghupathi and Raghupathi assembled country-level data from the Organisation for Economic Co-operation and Development and the World Bank covering twenty-six OECD countries from 1995 to 2015 — a twenty-one-year window. On the education side, they tracked adult tertiary attainment, enrollment rates, school life expectancy, and NEET rates — that's Not in Employment, Education, or Training, a measure of young people who have fallen outside all the systems that build human capital. On the health side, they tracked infant mortality, life expectancy at birth, child vaccination rates, cancer deaths, smoking rates, and potential years of life lost, or PYLL — the average years a person would have lived had they not died prematurely, reported per one hundred thousand people aged zero to sixty-nine. They used Tableau for visualization and SAS for correlations and descriptive statistics. The key thing to hold onto before diving into results is that this is macro-level, country-to-country association. It identifies patterns. It does not establish causation. Now to what they actually found. The central empirical result is this: tertiary education — university-level education specifically — is the inflection point. Not primary enrollment, not secondary completion. Tertiary attainment is the single most critical educational indicator linked to infant mortality, life expectancy, child vaccination, and enrollment rates. When adult shares with tertiary degrees rise, infant mortality falls. When tertiary school life expectancy climbs, premature mortality drops. The relationship shows up consistently across the two-decade panel. Look at potential years of life lost as an example. As both tertiary enrollment ratios and the adult share with tertiary degrees increase, median potential years of life lost declines and its variation across countries shrinks. Higher tertiary access is associated with not just lower premature mortality on average, but less spread around that average — meaning the benefit isn't confined to the highest performers. Infant mortality, measured per one thousand live births, shows a steep downward trend across the period that tracks closely with rising education indicators. And on preventive care, countries with higher tertiary enrollment and higher adult tertiary attainment consistently report higher child vaccination coverage. The study also examined all of this against gross domestic product per capita, analyzing country data in ten-thousand-dollar increments from zero to one hundred ten thousand US dollars. Two broad clusters emerge. One cluster combines high tertiary and upper-secondary attainment with higher average compulsory health expenditure. The other has relatively low tertiary and secondary education alongside lower health spending. Lower GDP countries cluster with higher infant mortality and increased potential years of life lost. Life expectancy and cancer deaths don't stratify by GDP the same way — suggesting education is doing something that raw economic output alone doesn't explain. And as gross domestic product per capita grows, the adult share without secondary education falls while the tertiary share rises, reinforcing the idea that economic development and educational expansion tend to move together — but also that education may be doing independent work. Geographically, the results are striking. South America shows the highest infant mortality among continents in the sample, followed by Asia, Europe, and Oceania, with North America in the middle range. Countries including the United States, the United Kingdom, Iceland, and France tend to co-occur with low NEET rates and high vaccination coverage. Meanwhile, some countries with medium NEET rates show higher cancer death rates — a pattern the paper flags as a signal worth watching. That brings us to NEET, which is where the shadow side of this story lives. High educational attainment is the engine driving better health outcomes at the national level. NEET is what happens when that engine stalls for a segment of the population. These are young people who are unemployed, who have dropped out of school, or who lack skills and training — and they represent a cluster of vulnerabilities that maps directly onto worse health outcomes at the country level. Raghupathi and Raghupathi treat NEET not as an individual failure but as a macro-level signal: a country with a high NEET rate is a country where the education-to-health pipeline has broken down for a meaningful share of its youth. The same mechanisms that drive health gains through education — income, social support, behavioral capacity, healthcare access — are exactly what NEET populations are being cut off from. So what should governments do with all of this? The paper draws a clear policy thread. Expand tertiary access. Reduce postsecondary dropout. Target NEET reduction specifically — because lowering NEET rates, in their words, has the potential to address a broad array of vulnerabilities among youth, from unemployment and early school dropout to labor market discouragement. These are upstream interventions. They don't treat illness after it appears; they shape the social conditions that determine whether illness appears in the first place. The authors are honest about the limits of their evidence. The sample is twenty-six OECD countries, with data drawn primarily from European members. The analysis is associative, not causal. Some variables, including potential years of life lost, can reflect causes beyond health systems. And some enrollment ratios are reported as gross rates and can technically exceed one hundred percent. None of that invalidates the patterns — but it does mean the findings are best read as signals for where to look, not proof of what will happen if a specific policy is enacted. They call for interdisciplinary follow-up: wider country coverage, geographic and environmental variables, and methods like meta-regression to disentangle macro-level socioeconomic effects. Here's the bigger picture the study lands on. Education is often treated as a pipeline to employment, and employment as a pipeline to income, and income as a pipeline to healthcare. That chain is real. But what this research shows is that education also operates through channels that are harder to see — self-awareness about personal health, the capacity to navigate healthcare systems, and the behavioral and psychological resources to take preventive action. These effects reach people regardless of whether they ever directly interact with a hospital. In that sense, education functions as a kind of infrastructure — as foundational to population health as the healthcare system itself, and sometimes more so. The study's central claim holds up at every angle you examine it from: adults with higher educational attainment have better health and longer lives than their less-educated peers, and this pattern holds at the country level across two decades of data. Tertiary education is the fulcrum. NEET is the warning signal. And potential years of life lost is the metric that captures what's actually at stake — not just average lifespan, but how many years are being cut short before they're lived. Health policy that ignores education policy is working with one hand tied. Hospitals can treat what arrives at their doors. But what determines what arrives — and how much of it — is shaped much earlier, in schools, in universities, and in whether young people remain connected to both. This lecture was created by ennepō. 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