近50年来世界人口期望寿命的演变轨迹

进入21世纪以来,全球人口已经突破60亿,但是人口增长速度明显减慢。许多国家已经完成了人口转变,其总和生育率在更替水平以下。与此同时,人口健康状况得到明显改善,死亡水平显著降低,期望寿命在不断提高。本文利用联合国人口司发布的192个国家人口死亡信息,系统分析了世界人口平均期望寿命在过去50年里的演变态势、区域差异以及演变模式。结果显示世界人口期望寿命经历了半个多世纪的持续增长,有50%以上的人口或国家平均期望寿命达到了70岁。演变轨迹呈多样化的发展模式,区域发展不平衡。欠发达地区总体上较发达地区增幅大,人口比重上升幅度也很显著。人均期望寿命增幅最大的是亚洲国家,非洲国家与世界不同步,而且区域内差异较大。     

Change in disability-free life expectancy for Americans 70 years old and older*

In this article, we examine changes in life expectancy free of disability using longitudinal data collected from 1984 through 2000 from two cohorts who composed the Longitudinal Studies of Aging I and II. Life expectancies with and without ADL and/or IADL disability are calculated using a Markov-based multistate life table approach. At age 70, disability-free life expectancy increased over a 10-year period by 0.6 of a year in the later cohort, which was the same as the increase in total life expectancy, both increases marginally statistically significant. The average length of expected life with IADL and ADL disability did not change. Changes in disability-free life expectancy resulted from decreases in disability incidence and increases in the incidence of recovery from disability across the two survey cohorts. Age-specific mortality among the ADL disabled declined significantly in the later cohort after age 80. Mortality for the IADL disabled and the nondisabled did not change significantly. Those with ADL disability at age 70 experienced substantial increases in both total life expectancy and disability-free life expectancy. These results indicate the importance of efforts both to prevent and delay disability and to promote recovery from disability for increasing life expectancy without disability. Results also indicate that while reductions in incidence and increases in recovery work to decrease population prevalence of disability, declining mortality among the disabled has been a force toward increasing disability prevalence.     

Horizontal and Vertical Equity Objectives of Child Benefit Systems: An Empirical Assessment for European Countries

The present study investigates the determinants of life expectancy in the presence of economic misery using Pakistan’s time series data over the period of 1972–2012. The stationary properties of the variables are examined by applying unit root test accommodating structural breaks. The ARDL bounds testing approach to cointegration is applied to examine the long run relationship between the variables. Our findings show that cointegration between the variables is confirmed. Moreover, health spending improves life expectancy. Food supply contributes to life expectancy. A rise in economic misery deteriorates life expectancy. Urbanization enhances life expectancy while illiteracy declines it. The causality analysis reveals that life expectancy is Granger cause of health spending, food supply, economic misery, urbanization and illiteracy. This paper opens up new insights for policy making authorities to consider the role of economic misery while formulating comprehensive economic policy to improve life expectancy in Pakistan.     

Black-White Disparities in Life Expectancy: How Much Can the Standard SES Variables Explain?

This article quantifies the extent to which socioeconomic and demographic characteristics can account for black-white disparities in life expectancy in the United States. Although many studies have investigated the linkages between race, socioeconomic status, and mortality, this article is the first to measure how much of the life expectancy gap remains after differences in mortality are purged of the compositional differences in socioeconomic characteristics between blacks and whites. The decomposition is facilitated by a reweighting technique that creates counterfactual estimation samples in which the distribution of income, education, employment and occupation, marital status, and other theoretically relevant variables among blacks is made to match the distribution of these variables among whites. For males, 80% of the black-white gap in life expectancy at age 1 can be accounted for by differences in socioeconomic and demographic characteristics. For females, 70% percent of the gap is accounted for. Labor force participation, occupation, and (among women only) marital status have almost no additional power to explain the black-white disparity in life expectancy after precise measures for income and education are controlled for.     

The threshold hypothesis: evidence from less developed Latin American countries, 1950 to 1980

Historical research among European countries finds large differences in the level of social, economic or demographic development among countries, or regions within countries at the time marital fertility rates began their decline from traditional high levels. This research tests a threshold hypothesis which holds that fertility will decline from traditional high levels if threshold levels of life expectancy and literacy are surpassed. Using a pooled regression analysis of 1950, 1960, 1970 and 1980 crude births rates (CBRs) in 20 less developed Latin American countries, in conjunction with 10-year lagged measures of social, economic and family planning program development, analyses reveal statistically significant effects of passing Beaver's (1975) threshold levels of 1950 literacy, or 1950 life expectancy, that are independent of levels of lagged literacy (or lagged life expectancy), economic and family planning program development, as well as measures that control period effects.     

中国高龄老人健康预期寿命研究

用隶属等级 (GradeofMembership ,GOM)模型将反映 1998年被访高龄老人不同健康维度的 5 0个变量进行综合得到健康、比较健康、功能受限、体弱多病、极度虚弱五个纯类。用这五个纯类将高龄老人预期寿命进行了分析     

Long-run trends of human aging and longevity

Over the last 200 years, humans experienced a huge increase of life expectancy. These advances were largely driven by extrinsic improvements of their environment (for example, the available diet, disease prevalence, vaccination, and the state of hygiene and sanitation). In this paper, we ask whether future improvements of life expectancy will be bounded from above by human life span. Life span, in contrast to life expectancy, is conceptualized as a biological measure of longevity driven by the intrinsic rate of bodily deterioration. In order to pursue our question, we first present a modern theory of aging developed by bio-gerontologists and show that immutable life span would put an upper limit on life expectancy. We then show for a sample of developed countries that human life span thus defined was indeed constant until the mid-twentieth century but increased since then in sync with life expectancy. In other words, we find evidence for manufactured life span.     

预期寿命增长、年龄结构改变与我国国民储蓄率

人口年龄结构趋于老龄化和人均预期寿命逐步增长是目前我国人口发展的两个典型特征,而年龄阶段不同,个人的收入、消费与储蓄行为也不同。基于生命周期理论,在选定相关分析指标的基础上,文章使用我国省际平衡面板数据,实证分析了我国人口预期寿命增长和年龄结构改变对国民储蓄率的影响。分析结论表明,人口预期寿命增长提高了我国国民储蓄率;不考虑时间效应时,幼年人口负担比提高会减少国民储蓄率,而老年人口负担比提高会增加国民储蓄率;在考虑时间效应时,幼年人口负担比提高会增加国民储蓄率,而老年人口负担比提高会减少国民储蓄率。对此,文章给出了合理的解释。通过使用多种估计方法,我们发现所得到的结论是基本稳健的。     

Active life expectancy estimates for the U.S. elderly population: A multidimensional continuous-mixture model of functional change applied to completed Cohorts, 1982–1996

An increment-decrement stochastic-process life table model that continuously mixes measures of functional change is developed to represent age transitions among highly refined disability states interacting simultaneously with mortality. The model is applied to data from the National Long Term Care Surveys of elderly persons in the years 1982 to 1996 to produce active life expectancy estimates based on completed-cohort life tables. At ages 65 and 85, comparisons with extant period estimates for 1990 show that our active life expectancy estimates are larger for both males and females than are extant period estimates based on coarse disability states.     

Trends in Education-Specific Life Expectancy,Data Quality,and Shifting Education Distributions: A Note on Recent Research

Several recent articles have reported conflicting conclusions about educational differences in life expectancy, and this is partly due to the use of unreliable data subject to a numerator-denominator bias previously reported as ranging from 20 % to 40 %. This article presents estimates of life expectancy and lifespan variation by education in the United States using more reliable data from the National Health Interview Survey. Contrary to prior conclusions in the literature, I find that life expectancy increased or stagnated since 1990 among all education-race-sex groups except for non-Hispanic white women with less than a high school education; there has been a robust increase in life expectancy among white high school graduates and a smaller increase among black female high school graduates; lifespan variation did not increase appreciably among high school graduates; and lifespan variation plays a very limited role in explaining educational gradients in mortality. I also discuss the key role that educational expansion may play in driving future changes in mortality gradients. Because of shifting education distributions, within an education-specific synthetic cohort, older age groups are less negatively selected than younger age groups. We could thus expect a greater concentration of mortality at younger ages among people with a high school education or less, which would be reflected in increasing lifespan variability for this group. Future studies of educational gradients in mortality should use more reliable data and should be mindful of the effects of shifting education distributions.     

Life expectancy and schooling: new insights from cross-country data

I argue that the relationship between life expectancy and schooling crucially depends on which measure of life expectancy one uses. In particular, I show that while the change in life expectancy at birth between 1960 and 1990 is positively correlated with percentage change in schooling, the change in life expectancy at age?5 is, at best, uncorrelated with percentage change in schooling. This evidence suggests that increasing life horizon beyond the early crucial childhood years for formal acquisition of human capital is not as quantitatively important as previously thought.     

Life Expectancy during the Great Depression in Eleven European Countries

The recent global economic recession has renewed interest in knowing whether a declining economy affects population health. Understanding the extreme case of the Great Depression may inform the current debate as well as theory regarding biological and behavioral adaptations to unwanted economic change. We test the hypothesis, recently suggested in the literature, that period life expectancy at birth improved during the Great Depression. We applied time‐series methods to annual period life expectancy data of the civilian population from eleven European countries. Methods control for trends and other forms of autocorrelation in life expectancy that could induce spurious associations. We cannot reject the null hypothesis that period life expectancy at birth during the Great Depression remained within the interval forecasted from historical values. Additional analyses using an automated, rule‐based methodology also cannot reject the null hypothesis. During the most severe phase of the Great Depression, period life expectancy in eleven European countries generally did not rise above expected levels.     

Inequality, Wealth and Health: Is Decreasing Income Inequality the Key to Create Healthier Societies?

The idea that the level of stratification of societies contributes to the well-being of their members is gaining popularity. We contribute to this debate by investigating whether reducing inequalities in the income distribution of societies is a strategy for improving population health, especially appropriate for those countries that have reached the limits of economic growth. We test this idea on a dataset covering 140 countries and 2360 country-year observation between 1987 and 2008 and formulate hypotheses separately for countries with different level of economic development. We indeed found that countries with higher levels of income inequality also have lower levels of life expectancy (our measure of population health), and this result was consistent both in cross-sectional and longitudinal analyses. However, the relationship was found only among low- and middle-developed countries. In the group of high-developed countries, the relationship between income inequality and life expectancy was non-significant, which contradicts the literature. Expectations on the relationship between a country’s wealth and health were confirmed: economic growth does contribute to improving population health, but this effect is weaker in more economically developed countries. These results imply that a decrease in a country’s income inequality parallel with an increase in its wealth can help to improve health in economically lesser-developed countries, but not in high-developed countries.     

Changing Life Expectancy and Health Expectancy Among Russian Adults: Results from the Past 20 Years

The decade following the collapse of the Soviet Union was characterized by wide fluctuations in Russian mortality rates, but since the early 2000s, life expectancy has improved progressively. Recent upturns in longevity have promoted policy debates over extending the retirement age in the country. However, whether observed gains in life expectancy are accompanied by improving health remains to be addressed. Using data from the 1994–2014 Russian Longitudinal Monitoring Survey of the Higher School of Economics, this study investigates trends over 20 years in healthy life expectancy (HLE) and illness-free life expectancy (IFLE) for men and women at adult ages. Analyses using the Sullivan method show that men and women at adult ages have experienced large increases in health expectancies during the post-Soviet period. Increases in HLE exceeded increases in total life expectancy for both genders. Further, health expectancies have evolved over time through cycles of increases and decreases, just like life expectancy. These results suggest increases in good-quality years among men and women at working ages, offering support for changing the official retirement age. The extent of the change in the retirement age, however, needs to be carefully considered, given that, despite recent improvements, the health expectancy of the Russian population still remains low.     

亲属、法律、家庭养老

中国家庭养老的传统在今天仍被社会、家庭和个人所重视和依赖。这种传统的部分基础是亲属制度。在这种制度下家中的每个人有其约定俗成的权利和义务 ,在赡养老年人的问题上也如此。亲属数量和类别的多少不仅可以增加老年人晚年接受各方面照料的力量 ,也会潜移默化地促使人们认同、接受和依靠家庭养老这种方式。国家法律也对家庭养老传统的延续起到了监督和推动的作用     

分年龄组死亡率变动对人均期望寿命影响的实验研究 ——以甘肃省为例

人均期望寿命是分析、评价人口健康状况,衡量社会经济发展及医疗卫生服务水平的重要指标。从2014年开始人均期望寿命的提高被纳入卫生计生系统考核内容,受到各级政府的重视。为了有效地甄别和评价政策实施对人均期望寿命提高的贡献程度,需要精确地估计和判断各年龄组死亡率变动对人均期望寿命提高的影响。在实践中,针对某一年龄组或某一特定人群死亡率的变动以及相关政策实施对人均期望寿命的影响鲜有较为精确的定量解答或快速有效的估算办法。本研究通过数据实验方法和计算机辅助计算建立一套可以较为精确地估算某一区域内某一年龄组死亡率变动对人均期望寿命影响的计算方法和结果集,利用这种方法可以开展不同类型、不同区域内人口死亡率变动对人均期望寿命影响的快速估算。利用估算结果可以对区域内政策实施效果进行较为科学的评估或评价。文章以中国2010年人口普查数据中甘肃省各年龄组分性别死亡率数据为基础对上述研究进行实证分析和验证。     

中国老年人不健康寿命变动的分状态贡献率研究

结合2005年1％人口抽样调查数据与全国2010年人口普查数据，运用Sullivan法，研究老年人不健康寿命变动的分状态贡献率。结果表明：60—97岁老年人的不健康阶段主为不健康但生活能自理状态，而97岁以上老年人的不健康阶段主为生活不能自理状态；与2005年相比。老年人不健康寿命及比重均变小，符合”疾病压缩理论”，但分状态寿命的变动趋势存在显著差异；生活不能自理状态对不健康寿命缩短的贡献率大于不健康但生活能自理状态。因此，老年个体不仅整体健康状况改善．健康结构也在不断优化：这意味着老年个体对照护资源需求量及需求种类均发生变化。     

Life Potential as a Basic Demographic Indicator

This paper proposes an indicator that integrates life expectancy with the demographic structure of the population for a given society. By doing this, we have a simple indicator of mortality and aging combined, which could be very useful for developed societies. As is widely known, life expectancy at birth is independent of the demographic structure of the population, and therefore is adequate for measuring overall mortality. However, it neglects to take into account the fact that as life expectancy increases society ages, and so looking at life expectancy alone can produce an overly optimistic view of the development process, especially if we pay attention to future sustainability. Aging can in fact affect quality of life and sustainability in the long run. The indicators for aging are usually very crude, such as providing information on the share of the population who are 65 and over. We propose a simple indicator that integrates life expectancy at different ages, not only at birth, with the demographic structure of the population at a given point in time. The indicator has an intuitive interpretation in terms of the life potential, or biological capital, of society; and given that it is a weighted average, its changes can be easily decomposed into reductions in mortality (gains in life expectancy) and aging for different age intervals.     

Decomposing change in life expectancy: A bouquet of formulas in honor of Nathan Keyfitz’s 90th birthday

We extend Nathan Keyfitz's research on continuous change in life expectancy over time by presenting and proving a new formula for decomposing such change. The formula separates change in life expectancy over time into two terms. The first term captures the general effect of reduction in death rates at all ages, and the second term captures the effect of heterogeneity in the pace of improvement in mortality at different ages. We extend the formula to decompose change in life expectancy into age-specific and cause-specific components, and apply the methods to analyze changes in life expectancy in Sweden and Japan.     

Steep increase in best-practice cohort life expectancy

We analyze trends in best-practice life expectancy among female cohorts born from 1870 to 1950. Cohorts experience declining rather than constant death rates, and cohort life expectancy usually exceeds period life expectancy. Unobserved mortality rates in non-extinct cohorts are estimated using the Lee-Carter model for mortality in 1960–2008. Best-practice cohort and period life expectancies increased nearly linearly. Across cohorts born from 1870 to 1920 the annual increase in cohort length of life was 0.43 years. Across calendar years from 1870 to 2008, the annual increase was 0.28 years. Cohort life expectancy increased from 53.7 years in the 1870 cohort to 83.8 years in the 1950 cohort. The corresponding cohort/period longevity gap increased from 1.2 to 10.3 years. Among younger cohorts, survival to advanced ages is substantially higher than could have been anticipated by period mortality regimes when these cohorts were young or middle-aged. A large proportion of the additional expected years of life are being lived at ages 65 and older. This substantially changes the balance between the stages of the life cycle.