Spatial and economic patterns in life expectancy among US States

This study investigates the determinants of gender-specific life expectancy across US states over the period 1995–2007. We employ a production function specification where life expectancy depends on health expenditure, income, education and lifestyle variables, allowing for spatial effects. Empirical results suggest that education attainment and health expenditure are the main factors behind improving longevity, whereas smoking bears a strong negative influence. For robustness purposes, we also use health spending as well as education criteria, apart from geographical ones to model interstate spillovers. In the former case, states with similar health expenditure are ‘neighbors’ and affect positively the life expectancy process. If education is applied instead of health spending together with geographic proximity, the spatial correlation is insignificant, i.e. education ‘neighbors’ do not affect life expectancy. Our findings do not imply significant gender differences regarding health production. The results suggest that health care policy will have to focus on wider economic and social considerations, like education and lifestyle changes, except medical care provision in order to exploit the full potential for life expectancy improvements of the US population.     

Longevity and Life‐cycle Savings*

We add health and longevity to a standard model of life‐cycle saving and show that, under plausible assumptions, increases in life expectancy lead to higher savings rates at every age, even when retirement is endogenous. In a stationary population these higher savings rates are offset by increased old age dependency, but during the disequilibrium phase, when longevity is rising, the effect on aggregate savings rates can be substantial. We find empirical support for this effect using a cross‐country panel of national savings rates.     

Aging,growth and the allocation of public expenditures on health and education

In this paper, I develop an overlapping generations endogenous growth model in which both public education and health are sources of growth by affecting the accumulation rate of the human capital stock and the savings rate over life expectancy. I first find that dynamic complementarities of public expenditures lead to minimum threshold levels of public education and health expenditures that ensure sustainable growth. I then show how governments can use the allocation of public expenditures as an alternative policy instrument to maximize growth without increasing the tax rate or the retirement age, as usually happens in aging economies.     

Medical technology and the production of health care

This article investigates the factors that determine differences across OECD countries in health outcomes, using data on life expectancy at age 65, over the period 1960 to 2007. We estimate a production function where life expectancy depends on health and social spending, lifestyle variables, and medical innovation. Our first set of regressions include a set of observed medical technologies by country. Our second set of regressions proxy technology using a spatial process. This article also tests whether in the long-run countries tend to achieve similar levels of health outcomes. Our results show that health spending has a significant and mild effect on health outcomes, even after controlling for medical innovation. However, its short-run adjustments do not seem to have an impact on health care productivity. Spatial spill overs in life expectancy are significant and point to the existence of interdependence across countries in technology adoption. Furthermore, nations with initial low levels of life expectancy tend to catch up with those with longer-lived populations.     

Demographic links to savings in life cycle models: identification of issues for LDCs

The author considers the potential for a link between the recent pattern of demographic transition and intertemporal and inter-country variations in savings rates. Fertility, infant mortality, life expectancy, and levels of female and child labor force participation are among the various demographic factors which affect national savings rates through their effects upon age structure, age-specific individual savings behavior, and their general equilibrium effects upon interest rates, wage rates, and income distribution. The author establishes a simple discrete time life cycle model of savings, explains the issues related to age structure, and discusses the effect of age-specific savings functions, the general equilibrium effects of demographic factors, the effects of life expectancies and child mortalities, and the nature of social security coverages in less developed countries, as well as issues which are especially important for less developed countries. A new strategy for empirically evaluating demographic policies is proposed. That is, one can estimate the age profile of earnings, saving and fertility rates from household survey data. The life tables can then be used to compute the aggregate savings rate and population size. Any demographic policy which affects the fertility rate, life expectancy, and investment in the quality of children will change the aggregate saving and population growth rates. These two aggregate effects could be compared to evaluate demographic policies. The author stresses, however, that changes in different demographic factors will have different short-run and long-run effects upon the savings rate which will also depend upon whether such changes are transitory or permanent.     

Population aging,the costs of health care for the elderly and growth

Employing an overlapping-generations model with endogenous growth in which altruistic young agents take care of the health level of their aged parents at risk of illness, this paper examines how population aging influences the long-run growth rate of the economy. We show that life expectancy, when relatively low (high), positively (negatively) affects economic growth. This paper also investigates public policy on long-term care and demonstrates the existence of an intergenerational conflict between current and future generations. We also point out that population aging may mitigate the extent of this conflict.     

Infrastructure,women’s time allocation,and economic development

This paper develops a gender-based OLG model of endogenous growth to analyze the impact of infrastructure on women’s time allocation between market work, raising children, own health care, and home production, and its implications for education and health outcomes. Women’s health status in adulthood, which affects productivity and wages, depends on their health status in childhood. Threshold effects in health and life expectancy, associated with access to infrastructure, may generate multiple development regimes. Whether an increase in government investment in infrastructure succeeds in shifting the economy to a high-growth equilibrium depends crucially on how women reallocate their time and the strength of congestion effects.     

Effects of longevity and dependency rates on saving and growth: Evidence from a panel of cross countries

While earlier empirical studies found a negative saving effect of old-age dependency rates without considering longevity, recent studies have found that longevity has a positive effect on growth without considering old-age dependency rates. In this paper, we first justify the related yet independent roles of longevity and old-age dependency rates in determining saving and growth by using a growth model that encompasses both neoclassical and endogenous growth models as special cases. Using panel data from a recent World Bank data set, we then find that the longevity effect is positive and the dependency effect is negative in savings and investment regressions. The estimates indicate that the differences in the demographic variables across countries or over time can well explain the differences in aggregate savings rates. We also find that both population age structure and life expectancy are important contributing factors to growth.     

The effect of health improvements due to tobacco control on earnings in the United States

There is minimal evidence causally estimating the relationship between tobacco tax policy, population health and earnings. This article uses state tobacco taxes as an instrument for life expectancy to estimate the effect on earnings per capita in a panel of almost 3000 counties in the United States over the period 1970 to 2000. In the first stage of the model, we find that a one dollar increase in state tobacco taxes significantly increases life expectancy between 1.9% and 2.1%. Despite showing that tobacco tax is correlated with higher life expectancy and that, theoretically, improvements in health from reductions in smoking should lead to increased earnings, we find an insignificant impact of the induced gains in life expectancy from tobacco policy on county level earnings per capita over the period 1970 to 2000. The lack of significance is explained through local average treatment effects and the smaller economic impact of certain policies that impact health later in life. These results provide further evidence that the most effective interventions for improving income later in life are policy interventions with a direct impact on the health of younger cohorts rather than older cohorts.     

Pollution and life expectancy: How environmental policy can promote growth

This article investigates the influence of environmental policy (EP) on growth in an AK-type growth model, when finite lifetime is introduced and the link between pollution and life expectancy (through the detrimental impact of pollution on health) is taken into account.Using an overlapping generations model à la Blanchard [Blanchard, O. (1985). Debt, deficits and finite horizon. Journal of Political Economy, 93:223-247], we demonstrate that finite lifetime introduces a “generational turnover effect” which modifies the influence of the EP on growth. Thus, when lifetime is finite and independent from pollution, we show that the “generational turnover effect” limits the detrimental impact of the EP on growth, if agents smooth their consumption over time. When pollution negatively influences life expectancy through health, we demonstrate that the “generational turnover effect” is magnified and that the EP and growth have an inverted U-shaped relationship in the steady-state. In this case, we show that the environmental policy is more likely to promote growth (i.e. it stimulates growth for a wider range of environmental taxes) when the impact of pollution on health is important and/or public expenditures in health are low. Finally, using numerical simulations, we find that for the value of parameters that we have chosen, the EP will be more likely to promote growth when agents smooth consumption over time.     

The dynamics of financial development,globalisation, economic growth and life expectancy in sub‐Saharan Africa

The importance of life expectancy is recognised in the development economics literature because of its increasing effects on labour productivity and economic growth in long‐run. However, no published study to date empirically examines the nonlinear relationships between globalisation, financial development, economic growth and life expectancy in sub‐Saharan African (SSA) countries. Therefore, our study intends to fill this gap by using non‐parametric cointegration test and multivariate Granger causality test towards a non‐linear empirical understanding of the factors affecting the life expectancy. We consider the case of 16 sub‐Saharan African economies using annual data over the period 1970–2012. The empirical analysis indicates that financial development, globalisation and economic growth appear to have a positive impact upon life expectancy in sub‐Saharan African economies, except for Gabon and Togo. Our empirical findings may provide insightful policy implications towards improving population health conditions which are vital for promoting the productivity of labour force and long‐run economic growth in sub‐Saharan African countries. In light of these policy implications, governments should incorporate globalisation, financial development and economic growth as key economic instruments in formulating sustainable developmental policy to promote life expectancy for the people in sub‐Saharan African countries.     

Longevity,Fertility and Economic Growth: Do Environmental Factors Matter?

Our study examines the effect of environmental factors on the economic decisions regarding fertility. We incorporate health‐damaging pollution into a three period overlapping generations model in which life expectancy, fertility and economic growth are all endogenous. We show that environmental factors can cause significant changes to the economy's demographics. In particular, the entrepreneurial choice of less polluting production processes, induced by a tax on emissions, can at some point in time lead to such changes as higher longevity and lower fertility rates. Thus, we provide a novel explanation on the positive relation between fertility rates and pollution. According to this, the causality on this relation may also work from the latter to the former. Furthermore, our model can account for the empirically observed N‐shaped correlation between pollution and income per capita.     

The Effect of Life Expectancy on Fertility,Saving, Schooling and Economic Growth: Theory and Evidence*

We construct a simple growth model where agents with uncertain survival choose schooling time, life‐cycle consumption and the number of children. We show that rising longevity reduces fertility but raises saving, schooling time and the growth rate at a diminishing rate. Cross‐section analyses using data from 76 countries support these propositions: life expectancy has a significant positive effect on the saving rate, secondary school enrollment and growth but a significant negative effect on fertility. Through sensitivity analyses, the effect on the saving rate is inconclusive, while the effects on the other variables are robust and consistent. These estimated effects are decreasing in life expectancy.     

退休年龄、教育年限与社会保障

在本文中，我们用养老金的缴纳费率和养老金替代率代表社会保障制度，采用有限生命预期的连续时间状态代际交叠模型作为基本框架，分析了社会保障制度对消费者接受教育的年限、退休年龄、工作年限的选择、GDP增长率和利率的影响。同时，我们还分析了消费者的预期寿命对个体消费者接受教育的年限、退休年龄、工作年限的选择以及对社会保障制度的影响。     

50 is the new 30—long-run trends of schooling and retirement explained by human aging

Workers in the US and other developed countries retire no later than a century ago and spend a significantly longer part of their life in school, implying that they stay less years in the work force. The facts of longer schooling and simultaneously shorter working life are seemingly hard to square with the rationality of the standard economic life cycle model. In this paper we propose a novel theory, based on health and aging, that explains these long-run trends. Workers optimally respond to a longer stay in a healthy state of high productivity by obtaining more education and supplying less labor. Better health increases productivity and amplifies the return on education. The health accelerator allows workers to finance educational efforts with less forgone labor supply than in the previous state of shorter healthy life expectancy. When both life-span and healthy life expectancy increase, the health effect is dominating and the working life gets shorter if the intertemporal elasticity of substitution for leisure is sufficiently small or the return on education is sufficiently large. We calibrate the model and show that it is able to predict the historical trends of schooling and retirement.     

Health and Income Variation – A Panel Data Study on the Developed and Less Developed Economies

In this paper, human capital in the form of ‘health status’ is introduced into a neoclassical economic growth model as one of the main factors differentiating rich and poor countries. Various panel data models are used to examine how health and other growth factors affect average income in different countries. Our main empirical finding indicates that a one-year increase in life expectancy (the health status measure) raises GDP per capita by 0.5–0.9%. Based on this result, a baseline health status can be established to help poor countries achieve a targeted economic growth rate.     

中国分城镇乡村人口平均预期寿命探析

利用人口普查和人口调查资料,通过生命表的Logit模型估计了2009年全国城镇乡村的人口平均预期寿命,给出了部分普查年份按城乡分年龄性别的预期寿命。分析了近30年来中国平均预期寿命的变化特点,并同发达国家进行了对比分析。其结果可反映中国平均预期寿命的增长趋势,对未来人口发展预测也有一定的参考价值。     

Health investment, saving, and public policy

Abstract.  This paper develops an overlapping‐generations model in which agents invest in health to prolong life in both working and retirement periods. It explores how unfunded social security with or without health subsidies affects life expectancy, economic growth, and welfare. In particular, by extending life at a possible cost of capital accumulation, health subsidies and a pay‐as‐you‐go pension can improve welfare, especially in the short run. JEL classification: I12, J14, J18, O11     

Optimal Retirement with Increasing Longevity

We develop an optimizing life‐cycle model of retirement with perfect capital markets. We show that longer healthy life expectancy usually leads to later retirement, but with an elasticity less than unity. We calibrate our model using data from the US and find that, over the last century, the effect of rising incomes, which promote early retirement, has dominated the effect of rising lifespans. Our model predicts continuing declines in the optimal retirement age, despite rising life expectancy, provided the rate of real wage growth remains as high as in the last century.     

退休年龄、教育年限与社会保障

在本文中,我们用养老金的缴纳费率和养老金替代率代表社会保障制度,采用有限生命预期的连续时间状态代际交叠模型作为基本框架,分析了社会保障制度对消费者接受教育的年限、退休年龄、工作年限的选择、GDP增长率和利率的影响。同时,我们还分析了消费者的预期寿命对个体消费者接受教育的年限、退休年龄、工作年限的选择以及对社会保障制度的影响。