Abstract
Empirical evidence suggests a positive correlation between health and educational outcomes at the aggregate level. However, both inter and intra-country data suggest that these variables may not always be monotonically increasing in income, pointing towards household income as a possible mitigating factor in the relationship between health and education expenditures and outcomes. We develop an overlapping generations model where agents spend their childhood studying, undertake expenditures to educate their offspring and health expenditures to improve their own longevity in adult age, and spend old age in retirement. Our model is characterised by two equilibria. In one equilibrium, longevity enhancing health expenditure is an inferior good, resulting in agents substituting health expenditures in favour of education expenditures on offspring as their income increases. In the other equilibrium, health expenditure is a normal good, but for incomes below a certain level, an increase in income causes agents to raise health expenditures whilst lowering education expenditures on offspring, while for incomes above this level all expenditures are increasing in income. These results suggest that the relationship between parental longevity and offspring’s human capital depends on income and whether agents consider longevity enhancing health expenditure to be an inferior or normal good. Dynamics of the model show that the economy could either achieve unbounded growth or converge towards a lower bound of income in the long run.
Appendix A.1 Proof of Proposition 1
Consider the left hand side of (2.14) and define:
Differentiating with respect to m and rearranging, we get:
Substituting functional forms for ψ′(m) we get:
Since φ″(m) < 0, the term
However, given the continuity of ψ′(m) we would expect it to remain positive for m < ɛ*. Specifically, consider m ∈ [0, ɛ*]. From (A1) we can postulate,
Rearranging and substituting for φ(m) we can express the above as:
Now, evaluated at m = 0, the right hand side of the above expression is positive, while the left hand side is equal to zero, so the above inequality does not hold. Evaluated at the other end of the range at m = ε*, the right hand side is zero and the left hand side is positive, the inequality holds. We already know this as we derived m > ε* as a sufficient condition for ψ′(m) to be positive. Further, the left hand side and right hand side are both continuous and differentiable in the range in question. We can also show that in this range, the left hand side is increasing in m while the right hand side is decreasing in m. The graph of both functions may be roughly depicted as follows (Figure A.1):

Graphical depiction of functions (A1) and (A2) and Equation (2.14).
To the left of
Then, there exists an intermediate value
Appendix A.2 Proof of Proposition 2
Equations (2.10)–(2.13) imply:
Recall that φ(m) > 0,φ′(m) > 0 and φ″(m) < 0. Since
Substituting for functional forms, this simplifies to:
Note however that the expression on the right hand side is the critical value
Appendix A.3 Proof of Proposition 3
We now consider the range
Finally, examining the range (h*, ∞) we note that the expression in curly brackets of (A4) and (A5) has now become positive. Following through the usual steps, it is evident that all variables are now increasing in income.
References
Acemoglu, D., and S. Johnson. 2007. “Disease and Development: The Effect of Life Expectancy on Economic Growth.” Journal of Political Economy 115 (6): 925–85. https://doi.org/10.1086/529000.Search in Google Scholar
Ahlburg, D. 1998. “Intergenerational Transmission of Health.” The American Economic Review 88 (2): 265–70.Search in Google Scholar
Australian Bureau of Statistics. 2017. Household Expenditure Survey, Australia: Summary of Results 2015-2016. Also available at https://www.abs.gov.au/statistics/economy/finance/household-expenditure-survey-australia-summary-results/latest-release#income-and-spending.Search in Google Scholar
Benos, N., and S. Zotou. 2014. “Education and Economic Growth: A Meta-Regression Analysis.” World Development 64 (C): 669–89. https://doi.org/10.1016/j.worlddev.2014.06.034.Search in Google Scholar
Bhalotra, S., and S. Rawlings. 2013. “Gradients of the Intergenerational Transmission of Health in Developing Countries.” The Review of Economics and Statistics 95 (02): 660–72. https://doi.org/10.1162/rest_a_00263.Search in Google Scholar
Bhattacharya, J., and X. Qiao. 2007. “Public and Private Expenditures on Health in a Growth Model.” Journal of Economic Dynamics and Control 31 (8): 2519–35. https://doi.org/10.1016/j.jedc.2006.07.007.Search in Google Scholar
Black, S. E., P. J. Devereux, and K. G. Salvanes. 2005. “Why the Apple Doesn’t Fall Far: Understanding Intergenerational Transmission of Human Capital.” The American Economic Review 95 (1): 437–49. https://doi.org/10.1257/0002828053828635.Search in Google Scholar
Blankenau, W., and X. Youderian. 2015. “Early Childhood Education Expenditures and the Intergenerational Persistence of Income.” Review of Economic Dynamics 18 (2): 334–49. https://doi.org/10.1016/j.red.2014.06.001.Search in Google Scholar
Boucekkine, R., D. De la Croix, and O. Licandro. 2002. “Vintage Human Capital, Demographic Trends, and Endogenous Growth.” Journal of Economic Theory 104 (2): 340–75. https://doi.org/10.1006/jeth.2001.2854.Search in Google Scholar
Carneiro, P., C. Meghir, and M. Parey. 2013. “Maternal Education, Home Environments, and the Development of Children and Adolescents.” Journal of the European Economic Association 11 (suppl_1): 123–60. https://doi.org/10.1111/j.1542-4774.2012.01096.x.Search in Google Scholar
Castelló-Climent, A., and R. Doménech. 2008. “Human Capital Inequality, Life Expectancy and Economic Growth.” The Economic Journal 118 (528): 653–77. https://doi.org/10.1111/j.1468-0297.2008.02136.x.Search in Google Scholar
Cervellati, M., and U. Sunde. 2005. “Human Capital Formation, Life Expectancy, and the Process of Development.” The American Economic Review 95 (5): 1653–72. https://doi.org/10.1257/000282805775014380.Search in Google Scholar
Cervellati, M., and U. Sunde. 2011. “Life Expectancy and Economic Growth: The Role of the Demographic Transition.” Journal of Economic Growth 16 (2): 99–133. https://doi.org/10.1007/s10887-011-9065-2.Search in Google Scholar
Cervellati, M., and U. Sunde. 2015. “The Effect of Life Expectancy on Education and Population Dynamics.” Empirical Economics 48 (4): 1445–78. https://doi.org/10.1007/s00181-014-0830-x.Search in Google Scholar
Chakraborty, S. 2004. “Endogenous Lifetime and Economic Growth.” Journal of Economic Theory 116 (1): 119–37. https://doi.org/10.1016/j.jet.2003.07.005.Search in Google Scholar
Chakraborty, S., and M. Das. 2005. “Mortality, Human Capital and Persistent Inequality.” Journal of Economic Growth 10 (2): 159–92. https://doi.org/10.1007/s10887-005-1670-5.Search in Google Scholar
Clark, D., and H. Royer. 2013. “The Effect of Education on Adult Mortality and Health: Evidence from Britain.” The American Economic Review 103 (6): 2087–120. https://doi.org/10.1257/aer.103.6.2087.Search in Google Scholar
Cutler, D. M., and A. Lleras-Muney. 2010. “Understanding Differences in Health Behaviors by Education.” Journal of Health Economics 29 (1): 1–28. https://doi.org/10.1016/j.jhealeco.2009.10.003.Search in Google Scholar
Dahl, G. B., and L. Lochner. 2012. “The Impact of Family Income on Child Achievement: Evidence from the Earned Income Tax Credit.” The American Economic Review 102 (5): 1927–56. https://doi.org/10.1257/aer.102.5.1927.Search in Google Scholar
Das, J., S. Dercon, J. Habyarimana, P. Krishnan, K. Muralidharan, and V. Sundararaman. 2013. “School Inputs, Household Substitution, and Test Scores.” American Economic Journal: Applied Economics 5 (2): 29–57. https://doi.org/10.1257/app.5.2.29.Search in Google Scholar
Dow, W., T. Philipson, and X. Sala-I-Martin. 1999. “Longevity Complementarities under Competing Risks.” The American Economic Review 89 (5): 1358–71. https://doi.org/10.1257/aer.89.5.1358.Search in Google Scholar
Ehrlich, I., and H. Chuma. 1990. “A Model of the Demand for Longevity and the Value of Life Extension.” Journal of Political Economy 98 (4): 761–82. https://doi.org/10.1086/261705.Search in Google Scholar
Eriksson, T., J. Pan, and X. Qin. 2014. “The Intergenerational Inequality of Health in China.” China Economic Review 31: 392–409. https://doi.org/10.1016/j.chieco.2014.06.005.Search in Google Scholar
Farag, M., A. NandaKumar, S. Wallack, D. Hodgkin, G. Gaumer, and C. Erbil. 2012. “The Income Elasticity of Health Care Spending in Developing and Developed Countries.” International Journal of Health Care Finance and Economics 12 (2): 145–62. https://doi.org/10.1007/s10754-012-9108-z.Search in Google Scholar
Galor, O., and O. Moav. 2001. “Evolution and Growth.” European Economic Review 45 (4–6): 718–29. https://doi.org/10.1016/s0014-2921(01)00112-x.Search in Google Scholar
Galor, O., and O. Moav. 2004. “From Physical to Human Capital Accumulation: Inequality and the Process of Development.” The Review of Economic Studies 71 (4): 1001–26. https://doi.org/10.1111/0034-6527.00312.Search in Google Scholar
Galor, O., and D. N. Weil. 2000. “Population, Technology, and Growth: From Malthusian Stagnation to the Demographic Transition and beyond.” The American Economic Review 90 (4): 806–28. https://doi.org/10.1257/aer.90.4.806.Search in Google Scholar
Gamlath, S., and R. Lahiri. 2018. “Public and Private Education Expenditures, Variable Elasticity of Substitution and Economic Growth.” Economic Modelling 70: 1–14. https://doi.org/10.1016/j.econmod.2017.10.007.Search in Google Scholar
Goodman, E., and B. Huang. 2002. “Socioeconomic Status, Depressive Symptoms, and Adolescent Substance Use.” Archives of Pediatrics and Adolescent Medicine 156 (5): 448–53. https://doi.org/10.1001/archpedi.156.5.448.Search in Google Scholar
Grzywacz, J. G., and N. F. Marks. 2001. “Social Inequalities and Exercise during Adulthood: Toward an Ecological Perspective.” Journal of Health and Social Behavior 42 (2): 202–20. https://doi.org/10.2307/3090178.Search in Google Scholar
Hanushek, E. A., and L. Woessmann. 2010. “Education and Economic Growth.” Economics of Education 60: 67.10.1016/B978-0-08-044894-7.01227-6Search in Google Scholar
Hillman, A. L., and E. Jenkner. 2005. “Educating Children in Poor Countries.” Economic Issues 2005/003, International Monetary Fund.10.5089/9781589063457.051Search in Google Scholar
Kelly, S., S. Martin, I. Kuhn, A. Cowan, C. Brayne, and L. Lafortune. 2016. “Barriers and Facilitators to the Uptake and Maintenance of Healthy Behaviours by People at Mid-life: A Rapid Systematic Review.” PLoS One 11 (1): 1–26. https://doi.org/10.1371/journal.pone.0145074.Search in Google Scholar
Lorentzen, P., J. McMillan, and R. Wacziarg. 2008. “Death and Development.” Journal of Economic Growth 13 (2): 81–124. https://doi.org/10.1007/s10887-008-9029-3.Search in Google Scholar
Madsen, J. B.. 2016. “Health, Human Capital Formation and Knowledge Production: Two Centuries of International Evidence.” Macroeconomic Dynamics 20 (4): 909–53. https://doi.org/10.1017/s1365100514000650.Search in Google Scholar
Mo, P. K. H., and W. S. M. Winnie. 2010. “The Influence of Health Promoting Practices on the Quality of Life of Community Adults in Hong Kong.” Social Indicators Research 95 (3): 503–17. https://doi.org/10.1007/s11205-009-9523-9.Search in Google Scholar
Murthy, V. N. R., and A. A. Okunade. 2009. “The Core Determinants of Health Expenditure in the African Context: Some Econometric Evidence for Policy.” Health Policy 91 (1): 57–62. https://doi.org/10.1016/j.healthpol.2008.10.001.Search in Google Scholar
Narayan, P. K., S. Narayan, and R. Smyth. 2011. “Is Health Care Really a Luxury in OECD Countries? Evidence from Alternative Price Deflators.” Applied Economics 43 (25): 3631–43. https://doi.org/10.1080/00036841003670788.Search in Google Scholar
Pakistan Bureau of Statistics. 2016. HIES 2015-2016. Monthly Per Capita Consumption Expenditure Per Household by Major Groups of Items and Quintiles, 2015-16. Also available at https://www.pbs.gov.pk/sites/default/files/pslm/publications/hies15-16/write%20up%2015-16-HIES-final.pdf.Search in Google Scholar
Picone, G., F. Sloan, and D. Taylor. 2004. “Effects of Risk and Time Preference and Expected Longevity on Demand for Medical Tests.” Journal of Risk and Uncertainty 28 (1): 39–53. https://doi.org/10.1023/B:RISK.0000009435.11390.23.10.1023/B:RISK.0000009435.11390.23Search in Google Scholar
Salm, M. 2010. “Subjective Mortality Expectations and Consumption and Saving Behaviours Among the Elderly.” Canadian Journal of Economics/Revue canadienne d’économique 43 (3): 1040–57.10.1111/j.1540-5982.2010.01605.xSearch in Google Scholar
Skinner, J. 1985. “Variable Lifespan and the Intertemporal Elasticity of Consumption.” The Review of Economics and Statistics 67 (4): 616–23. https://doi.org/10.2307/1924806.Search in Google Scholar
The World Bank. (2021). Population Ages 65 and above (% of Total Population); Barro-Lee: Average Years of Total Schooling, Age 25+, Total.Search in Google Scholar
Weil, D. N. 2007. “Accounting for the Effect of Health on Economic Growth.” The Quarterly Journal of Economics 122 (3): 1265–306. https://doi.org/10.1162/qjec.122.3.1265.Search in Google Scholar
Yaari, M. E. 1965. “Uncertain Lifetime, Life Insurance, and the Theory of the Consumer.” The Review of Economic Studies 32 (2): 137–50. https://doi.org/10.2307/2296058.Search in Google Scholar
© 2022 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Advances
- A New General Equilibrium Welfare Measure, with Application to Labor Income Taxes
- Labor Share Dynamics and Factor Complementarity
- Effect of Monetary Policy on Government Spending Multiplier
- News-Driven Housing Booms: Spain Versus Germany
- Sovereign Debt Crisis, Fiscal Consolidation, and Active Central Bankers in a Monetary Union
- Housing Taxation and Economic Growth: Analysis of a Balanced-Growth Model with Residential Capital
- Intergenerational Linkages, Uncertain Lifetime and Educational and Health Expenditures
- Contributions
- Tolerance of Informality and Occupational Choices in a Large Informal Sector Economy
- Uncertainty Shocks, Innovation, and Productivity
- Asymmetric Effects of Private Debt on Income Growth
- Interpreting Structural Shocks and Assessing Their Historical Importance
- Charge-offs, Defaults and the Financial Accelerator
- Filtering Persistent and Asymmetric Cycles
- Population Aging and Convergence of Household Credit
- Robustly Optimal Monetary Policy in a Behavioral Environment
- Forward Guidance Effectiveness in a New Keynesian Model with Housing Frictions
- The Welfare Effects of Social Insurance Reform in the Presence of Intergenerational Transfers
Articles in the same Issue
- Frontmatter
- Advances
- A New General Equilibrium Welfare Measure, with Application to Labor Income Taxes
- Labor Share Dynamics and Factor Complementarity
- Effect of Monetary Policy on Government Spending Multiplier
- News-Driven Housing Booms: Spain Versus Germany
- Sovereign Debt Crisis, Fiscal Consolidation, and Active Central Bankers in a Monetary Union
- Housing Taxation and Economic Growth: Analysis of a Balanced-Growth Model with Residential Capital
- Intergenerational Linkages, Uncertain Lifetime and Educational and Health Expenditures
- Contributions
- Tolerance of Informality and Occupational Choices in a Large Informal Sector Economy
- Uncertainty Shocks, Innovation, and Productivity
- Asymmetric Effects of Private Debt on Income Growth
- Interpreting Structural Shocks and Assessing Their Historical Importance
- Charge-offs, Defaults and the Financial Accelerator
- Filtering Persistent and Asymmetric Cycles
- Population Aging and Convergence of Household Credit
- Robustly Optimal Monetary Policy in a Behavioral Environment
- Forward Guidance Effectiveness in a New Keynesian Model with Housing Frictions
- The Welfare Effects of Social Insurance Reform in the Presence of Intergenerational Transfers