The Education-Health Gradient
Open accessAbstract
In this paper, we determine the role played by early cognitive, noncognitive, and health endowments. We identify the causal effect of education on health and health-related behaviors. We develop an empirical model of schooling choice and post-schooling outcomes, where both schooling and the outcomes determined in part by schooling are influenced by measured early family environments and latent capabilities (cognitive, noncognitive and health). We show that family background characteristics, and cognitive, noncognitive, and health endowments developed by age 10, are important determinants of labor market and health disparities at age 30. Not properly accounting for personality traits overestimates the importance of cognitive ability in determining adult health. Selection on factors determined early in life explains more than half of the observed difference by education in poor health, depression, and obesity. Education has an important causal effect in explaining differences in many adult outcomes and healthy behaviors. We uncover significant gender differences. We go beyond the current literature which typically estimates mean effects to compute distributions of treatment effects. We show how the health returns to education can vary among individuals who are similar with respect to their observed characteristics, and how a mean effect can hide gains and losses for different individuals. Our research highlights the important role played by the early years in producing health.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Educational attainment is an important correlate of many social, economic, and health outcomes.
“Educational attainment (EA) is moderately heritable1 and an important correlate of many social, economic, and health outcomes2,3.”
From Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals (2018) · cites this paper as [2]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
The effects of cognitive and noncognitive abilities on labor market outcomes and social behavior
Heckman, J. J., Stixrud, J., & Urzua, S. (2006) · Journal of Labor Economics · doi:10.1086/504455 · Cited by 4,427 · see citing works
Self-citationChild and adolescent mental health worldwide: evidence for action
Kieling, C., Baker-Henningham, H., Belfer, M., Conti, G., Ertem, I., Omigbodun, O., Rohde, L. A., Srinath, S., Ulkuer, N., & Rahman, A. (2011) · The Lancet · doi:10.1016/s0140-6736(11)60827-1 · Cited by 2,449 · see citing works
Self-citationUnderstanding differences in health behaviors by education
Cutler, D. M., & Lleras-Muney, A. (2010) · Journal of Health Economics · doi:10.1016/j.jhealeco.2009.10.003 · Cited by 1,920 · see citing works
Flagged first, then by citations
Research works printed but not linked: 8
- Abbring Jaap H Heckman James J Heckman J Leamer E 2007 Econometric Evaluation of Social Programs, Part III: Distributional Treatment Effects, Dynamic Treatment Effects, Dynamic Discrete Choice, and General Equilibrium Policy Evaluation Handbook of Econometrics 6B 5145 5303 Amsterdam Elsevier
- Carneiro Pedro Karsten Hansen Heckman James J 2003 Estimating Distributions of Treatment Effects with an Application to the Returns to Schooling and Measurement of the Effects of Uncertainty on College Choice International Economic Review 44 2 361 422
- Case Anne Lubotsky Darren Paxson Christina 2002 Economic Status and Health in Childhood: The Origins of the Gradient American Economic Review 92 5 1308 1334 29058397
- Conti Gabriella Heckman James J Urzua Sergio 2010 “The Early Origins of the Education-Health Gradient” Under revision Perspectives on Psychological Science PMC3129786 21738556
- Cunha Flavio Heckman James J Lochner Lance J Masterov Dimitriy V Hanushek Eric A Welch Frank 2006 Interpreting the Evidence on Life Cycle Skill Formation Handbook of the Economics of Education Chapter 12 697 812 Amsterdam North-Holland
- Currie Janet 2009 Healthy, Wealthy, and Wise: Socioeconomic Status, Poor Health in Childhood, and Human Capital Development Journal of Economic Literature 47 1 87 122
- Grossman Michael 2006 Education and Nonmarket Outcomes Handbook of the Economics of Education 1 Eric Hanushek and Finis Welch Chapter 10 577 633 Amsterdam Elsevier
- Grossman Michael 2008 The Relationship between Health and Schooling: Presidential Address Eastern Economic Journal 34 3 281 292
Cited by
Sorted by citations
23andMe Research Team, Lee, J. J., COGENT (Cognitive Genomics Consortium), Social Science Genetic Association Consortium, Wedow, R., Okbay, A., Kong, E., Maghzian, O., Zacher, M., Nguyen-Viet, T. A., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0147-3 · Cited by 2,470 · see citing works
Child and adolescent mental health worldwide: evidence for action
Kieling, C., Baker-Henningham, H., Belfer, M., Conti, G., Ertem, I., Omigbodun, O., Rohde, L. A., Srinath, S., Ulkuer, N., & Rahman, A. (2011) · The Lancet · doi:10.1016/s0140-6736(11)60827-1 · Cited by 2,449 · see citing works
Self-citationEpigenetic clock analysis of diet, exercise, education, and lifestyle factors
Quach, A., Levine, M. E., Tanaka, T., Lu, A. T., Chen, B. H., Ferrucci, L., Ritz, B., Bandinelli, S., Neuhouser, M. L., Beasley, J. M., et al. (2017) · Aging · doi:10.18632/aging.101168 · Cited by 801 · see citing works
Personality Psychology and Economics
Almlund, M., Duckworth, A. L., Heckman, J., & Kautz, T. (2011) · National Bureau of Economic Research · doi:10.3386/w16822 · Cited by 540 · see citing works
Self-citationZhao, W., Ammous, F., Ratliff, S., Liu, J., Yu, M., Mosley, T. H., Kardia, S. L. R., & Smith, J. A. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16173141 · Cited by 113 · see citing works
Wang, B., Baldwin, J. R., Schoeler, T., Cheesman, R., Barkhuizen, W., Dudbridge, F., Bann, D., Morris, T. T., & Pingault, J.-B. (2021) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2021.07.010 · Cited by 103 · see citing works
The economic impact of subthreshold and clinical childhood mental disorders
Fatori, D., Salum, G., Itria, A., Pan, P., Alvarenga, P., Rohde, L. A., Bressan, R., Gadelha, A., de Jesus Mari, J., Conceição do Rosário, M., et al. (2018) · Journal of Mental Health · doi:10.1080/09638237.2018.1466041 · Cited by 47 · see citing works
Marques, A. H., Oliveira, P. A., Scomparini, L. B., Silva, U. M. R. E., Silva, A. C., Doretto, V., Medeiros Filho, M. V. D., & Scivoletto, S. (2015) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2015.00102 · Cited by 13 · see citing works
- Authors
- Conti, G., Heckman, J., & Urzua, S.
- Affiliations
- University of Chicago (US)
- Department of Economics and Institute for Policy Research, Northwestern University, Handerson Hall, 2001 Sheridan Road, Evanston, IL 60208.
- Venue
- American Economic Review
- Publisher
- American Economic Association
- Published
- 2010-05-01
- Volume
- 100
- Issue
- 2
- Pages
- 234-238
- ISSN
- 0002-8282 (ISSN-L)
- PMC
- PMC3985402
- OpenAlex
- W2143815327
- Cited by
- 570
- References
- 3
- Citations by year
- 2026: 20 · 2025: 34 · 2024: 34 · 2023: 36 · 2022: 58 · 2021: 53 · 2020: 47 · 2019: 31 · 2018: 46 · 2017: 39 · 2016: 48 · 2015: 39 · 2014: 21 · 2013: 24 · 2012: 16
- FWCI
- 65.32
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- American Economic Review (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD054702)
- Topics
- Social Sciences › Sociology and Political Science › Intergenerational and Educational Inequality Studies
- Social Sciences › Health › Health disparities and outcomes
- Social Sciences › Education › School Choice and Performance
- Keywords
- returns to education, health disparities, cognitive ability, non-cognitive skills, personality traits, family background, early childhood, health behavior, depression, obesity, labor market outcomes, gender differences, distributional treatment effects
- MeSH terms
- Adult, Cognition, Educational Status, Female, Humans, Male, Sex Factors, Smoking, Socioeconomic Factors, Health Status Disparities, Social Determinants of Health
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review