Modeling and Forecasting Mortality With Economic Growth: A Multipopulation Approach

Research on mortality modeling of multiple populations focuses mainly on extrapolating past mortality trends and summarizing these trends by one or more common latent factors. This article proposes a multipopulation stochastic mortality model that uses the explanatory power of economic growth. In particular, we extend the Li and Lee model (Li and Lee 2005) by including economic growth, represented by the real gross domestic product (GDP) per capita, to capture the common mortality trend for a group of populations with similar socioeconomic conditions. We find that our proposed model provides a better in-sample fit and an out-of-sample forecast performance. Moreover, it generates lower (higher) forecasted period life expectancy for countries with high (low) GDP per capita than the Li and Lee model.     

Trends in senescent life expectancy

The distinction between senescent and non-senescent mortality proves to be very valuable for describing and analysing age patterns of death rates. Unfortunately, standard methods for estimating these mortality components are lacking. The first part of this paper discusses alternative methods for estimating background and senescent mortality among adults and proposes a simple approach based on death rates by causes of death. The second part examines trends in senescent life expectancy (i.e., the life expectancy implied by senescent mortality) and compares them with trends in conventional longevity indicators between 1960 and 2000 in a group of 17 developed countries with low mortality. Senescent life expectancy for females rises at an average rate of 1.54 years per decade between 1960 and 2000 in these countries. The shape of the distribution of senescent deaths by age remains relatively invariant while the entire distribution shifts over time to higher ages as longevity rises.     

Migrant Workers and Workplace Bullying in Urban China

Trends of subjective well-being (SWB) in transition countries are peculiar: they show substantial changes that are more strongly correlated with the trends of GDP than in other developed countries. This paper examines the role of the trends of GDP and of social trust in predicting the trends of well-being. We find that the strength of the relationship between social trust and SWB over the medium-term is comparable to that of GDP. We conclude that in the medium-term, even in countries where material concerns strongly affect well-being, social trust is a powerful predictor of the trends of SWB. However, in the short run the relationship between social trust and SWB does not hold and GDP stands out as the only significant correlate of SWB.     

Economic development,structural change,and women’s labor force participation:

A sizable literature claims that female labor force participation (FLFP) follows a U-shaped trend as countries develop due to structural change, education, and fertility dynamics. We show that empirical support for this secular trend is feeble and depends on the data sources used, especially GDP estimates. The U also vanishes under dynamic panel estimations. Moreover, cross-country differences in levels of FLFP related to historical contingencies are more important than the muted U patterns found in some specifications. Given the large error margins in international GDP estimates and the sensitivity of the U relationship, we propose a more direct approach to explore the effect of structural change on FLFP using sector-specific growth rates. The results suggest that structural change affects FLFP consistent with a U pattern, but the effects are small. We conclude that the feminization U hypothesis as an overarching secular trend driving FLFP in the development process has little empirical support.     

Mortality and economic fluctuations

Using wavelet methods, this paper analyzes the relationship between the age-adjusted, infant, and cause-specific mortality rates and the business cycle in Sweden over the period 1800–2000 (1911–1996 for cause-specific mortality). For the period 1800–2000, an increase in GDP by 1% decreased mortality by 0.7%. This overall relationship is due to a strong counter-cyclical relationship in the nineteenth century, which disappeared in the twentieth century. In contrast, in the twentieth century higher mortality in economic upturns is found for mortality caused by circulatory diseases (including stroke) and accidents.     

Causes of Male Excess Mortality: Insights from Cloistered Populations

The degree to which biological factors contribute to the existence and the widening of mortality differences by sex remains unclear. To address this question, a mortality analysis for the years 1890 to 1995 was performed comparing mortality data on more than 11,000 Catholic nuns and monks in Bavarian communities living in very nearly identical behavioral and environmental conditions with life table data for the general German population. While the mortality differences between women and men in the general German population increased considerably after World War II, they remained almost constant among the members of Bavarian religious orders during the entire observation period, with slight advantages for nuns. Thus, the higher differences observable in the general population cannot be attributed to biological factors. The different trends in sex‐specific mortality between the general and the cloistered populations are caused exclusively by men in the general population who were unable to follow the trend in mortality reduction of women, nuns, and especially monks. Under the special environmental conditions of nuns and monks, biological factors appear to confer a maximum survival advantage for women of no more than one year in remaining life expectancy at young adult ages.     

Mortality,past and future

The study of mortality in previous centuries and of the trends in recent decades helps to elucidate some present-day medical problems and to contribute to their solution. The author considers, from a historical and socio-economic point of view, the factors which, during the last 200 years, have influenced the trends of mortality. This analysis indicates the lines along which present research, aimed at reducing mortality and extending expectation of life, should be directed.

Infancy (0–1 year): In backward countries, the whole of infancy is a period of high mortality. In progressive countries, on the other hand, the main reproductive wastage is in the ‘perinatal’ period, that is to say, covering stillbirths and deaths during the first week of life. For example, even in New Zealand, the death risk per day is more than eighty times as high during the first week of life than in the following 358 days.

Historical studies and social class comparisons suggest that further reduction of perinatal mortality is likely to depend on socio-economic, housing and cultural factors rather than on improvements in obstetric skill. Evidence cited by the author indicates that a crucial factor may be to provide expectant mothers with adequate rest during the weeks immediately prior to delivery. In general, research into mortality in infancy is too much bounded by a purely medical point of view whereas a socio-medical approach is needed.

Childhood (1–14 years): There has been an immense reduction in childhood mortality during the last 200 years. Less than 200 years ago the mortality among children aged 1–4 and 5–9 years was thirty-three times, and among those aged 10–14 years twelve times, that of the present day. Future reduction of mortality among children will be primarily a function of social factors and trends.

Adolescence and maturity (15–49 years): One of the outstanding trends of the last 200 years has been a relative increase in tuberculosis mortality among those aged 15–49 years, whereas among children tuberculosis has become relatively less important

as a cause of death. Recently, however, there has been a decline in the relative importance of tuberculosis as a cause of death among the adolescent and mature and, among New York males, it now takes second place to the cardiovascular

diseases. The total mortality of people in this age group has fallen, since the sixteenth century, by 77% for men and 81% for women. No spectacular discoveries are needed to reduce the mortality of this group by a further third; in doing this, control of environment will be the important factor.

Later maturity and old age (50 years and over): In the four centuries since the Renaissance the mortality of people over 50 years of age has been reduced by half. Among the factors contributing to this reduction is a fall in mortality due to tuberculosis. But even cancer, which is popularly supposed to have increased, used to be more common in the eighteenth century than it is now and to appear at an earlier. age. Moreover, there has been a change in the organs most commonly affected. The distribution of the greater proportion of cancer in a given population is a function of living conditions in the broadest sense of the term. Studies of groups exposed to carcinorelevant factors suggest that a high incidence of cancer in one organ is associated with a low incidence in other organs. But on many other causes of death at the older ages far more research is required, especially on the cardio-vascular-renal complex, and on the degenerative joint and bone diseases.     

“Beyond GDP” Effects on National Subjective Well-Being of OECD Countries

Some authors claim that maximizing subjective well-being is a more meaningful social objective than maximizing GDP and that other factors beyond income play a major role in defining well-being. In this work, we study two issues connected with this claim, looking at the context of OECD member countries. We look at the crowded category of proposed, “beyond GDP” policy-controlled factors, searching for evidence that some might be major determinants of national average subjective well-being. We also seek to compare any such effect with that of GDP, in order to evaluate if these factors have a better chance of leading to a maximization of well-being than GDP itself. In our analyses, we make use of partial order methods that have been rarely applied to this field of study. They seem particularly appropriate to the case, as well-being and its components are generally theorized as strongly multidimensional while standard modeling strategies require a great deal of compromise when working with many potential regressors and non-trivial levels of multicollinearity.     

Understanding the population dimension in development planning

In the Philippines initial efforts to adopt population policies focused on reducing rapid population growth through fertility control. The history of the national population welfare congress, which started in 1978, reflects this emphasis on family planning as a major deterrent to rapid population growth. It was only in recent years that the 2-way relationship between population and development came to be better appreciated. The 6th National Populaton Welfare Congress was a response to this need to broaden the scope of population concerns and integrate the population dimension into development planning. This viewpoint regards population not as a demand variable but as a factor that can be influenced by economic and social development. Dr. Mercedes B. Concepcion, dean of the University of the Philippines Population Institute (UPPI), discussed population trends, prospects, and problems in a paper presented before the 6th congress. In 1980, she said, the Philippine population was 48.1 million persons, up by 11.4 million persons or 31%, over the3l.7 million enumerated in 1970. While the rate of populated growth remains high, data indicate a decreasing post-World War II trend, from 3.06% in 1948-60 to 2.68% in 1975-80. The proportion of the population below 15 has dropped by 2 percentage points, while the number of persons in the working ages 15-64 has increased. In 1 of the 3 group sessions during the congress, the participants tried to define the Philippines' population distribution goals, the requirement of an urban-rural balance, and priority intervention areas. In that session 2 main papers were presented -- one on human settlements and urbanization and the other on macroeconomic policies and their spatial implications. In another sessionplanners and researchers examined the socioeconomic and demographic impact of development programs, specifically the impact of rural electrification on fertility change in Misamis Oriental, a province in Southern Philippines. In the main paper presented in that session, Dr. Herrin indicated that the most rapid decline in marital fertility in the Philippines occurred among highly educated parents with high incomes and living in the urbanized areas of Metro Manila, Southern Luzon, and Central Luzon. The 3rd group session discussed mortality trends and prospects as well as the present forms of government intervention to reverse these trends. Generally, a declining trend has been observed in the crude death rate and in infant mortality.     

人口因素在北京市水资源压力中的驱动作用分析

文章在对北京市水资源压力变动趋势进行分析的基础上,进一步使用对数平均的因素分解法对北京市2001～2010年间的用水量进行各类驱动因素的分析,研究人口规模变化、家庭规模和数量等人口学因素在各种驱动因素中的地位和作用。结果表明,北京市水资源压力很大,而且近年来呈现持续上升、逐年加剧的趋势;北京市用水量增长最大的驱动因素是人均GDP的增长;人口数量、家庭数量以及家庭规模等人口学要素对用水量变化有一定的作用,但并非是北京市用水量变化的最主要因素;提高生产部门的水资源利用率,引导居民树立合理的消费观对缓解北京市水资源压力、提高人口承载力有重要意义。     

Changes in Population,Affluence, and Environmental Pressures During Industrialization: The Case of Austria 1830–1995

This paper relates changes in aggregate population, affluence (measured as GDP), and indicators for environmental pressures, the latter being based upon the socioeconomic metabolism concept, for Austria from 1830 to 1995. During this period of time Austria underwent a transition from a predominantly agricultural mode of substistence to an industrial economy. The Austrian population increased by a factor of 2.3, total GDP by a factor of 28.2 and per capita GDP by a factor of 12.2. Environmental indicators change by factors of between 0.85 and over 1000. In general we find that although efficiencies (environmental pressure per unit of GDP) increased dramatically, total environmental pressures increased considerably for most indicators, except for those that are related to an agricultural mode of subsistence. Our results indicate that environmental policies that aim to reduce the environmental pressure per unit of GDP (i.e., increase ecological efficiency) are not likely to be sufficient for sustainable development because efficiency gains are more than compensated for by increases in affluence. Instead, sustainability policy should focus on reducing total environmental pressures.     

The dynamics of the population sex ratio in India, 1971–96

This paper reconstructs the trend in the population sex ratio in India between 1971 and 1996 from available information on changes in sex differentials in mortality in the country since the beginning of the century. It is estimated that, although the mortality of females relative to that of males in India has improved since 1968, the population sex ratio increased between 1971 and 1981, stayed constant between 1981 and 1991, and started to decrease only after 1991. This implies that the recorded decrease and increase in the periods 1971–81 and 1981–91 respectively were both spurious and were the results of undercounts of females in 1971 and 1991. Another implication of this finding is that, owing to the lagged effect of past mortality on current trends in the population sex ratio, this ratio is a bad proxy for use in the study of changes in differential mortality by sex.     

Infant and child mortality in India: trends in inequalities across economic groups

This paper examines the trends in economic inequalities with respect to infant and child mortality in India using three rounds of the Indian National Family Health Survey conducted in 1992–1993, 1998–1999, and 2005–2006. The paper uses concentration index, and pooled discrete-time survival regression model to examine the aforementioned trends and regional patterns. The findings suggest a decreasing trend in economic inequality in infant mortality but an upward trend in economic inequality in child mortality in India. Economic inequalities in infant mortality have narrowed in the southern region, whereas they have widened in the western region and risen in the northern region. However, mixed trends in concentration indices were found in the different regions of India in the case of child mortality.     

A note of correction with reference to parameters of the menstrual cycle and the efficiency of rhythm methods of contraception

It is known that further mortality reductions in industrialized countries depend heavily on trends in mortality rates at the oldest ages. In this article, a model proposed by Coale and Kisker is used to investigate mortality trends at the extreme old age of 110 years. The most important conclusions are that (1) the form of the model proposed by Coale and Kisker fits observed mortality schedules very well indeed, and (2) the trend in mortality rates at extremely high ages has apparently been flat for men, but may have declined slightly for women during this century.     

Exploring Wider Well-Being in the EU-15 Countries: An Empirical Application of the Stiglitz Report

We draw on the recommendations of the Stiglitz Report to select a set of economic and social variables that can be used to make cross-country comparisons of wider well-being. Using data for the EU-15 countries for 1999 and 2005, we show how three-way analysis can be used to extract synthetic information from a large data set to determine the main latent explanatory factors. In our case, we identify one dominant factor that we term the development profile, which is positively associated with the level of education outputs, technological progress and female labour market participation and negatively associated with the level of pollution. We rank the countries according to this factor and compare these rankings with simpler GDP comparisons and find that the two rankings are only weakly correlated.     

Decomposition of the difference between two rates with hierarchical factors

A decomposition method for the difference between two rates when data are classified by two factors, one of which may be considered as a more direct factor than the other for the event under consideration, is presented in this paper. The two factors are treated as hierarchical and thus this method is conceptually different from the decomposition methods of Kitagawa (1955) and Das Gupta (1978), in which two factors are treated as symmetrical. Our method is shown to be a balanced version of the Cho-Retherford (1973) decomposition method. Analyses of neonatal mortality rates using our method are presented as an example.     

The demographic evolution of human populations: The role of selection and environmental factors

Selection (genetic and cultural) and environmental variation are the principal mechanisms determining patterns of demographic change in human populations. Conditions exist under which the nature and intensity of these forces can be inferred from temporal trends in the demographic variables. These conditions, which can be expressed in terms of relations between the Malthusian parameter and population entropy, provide a means for evaluating the effect of selective and nonselective factors on demographic trends in human populations. The distinction between the roles of selection and environmental factors is illustrated by a study of the demographic transition in Sweden (1778-1965). This study shows that demographic changes during the pre- and posttransitional phases are determined mainly by environmental factors, whereas the changes during the transitional phase are mainly due to cultural selection. This analysis provides, for all three phases of the demographic transition, quantitative measures of the intensity of the forces (selective and nonselective) acting on both mortality and fecundity distributions.     

The Contribution of Smoking to Black-White Differences in U.S. Mortality

Smoking has significantly impacted American mortality and remains a major cause of morbidity and mortality. No previous study has systematically examined the contribution of smoking-attributable deaths to mortality trends among blacks or to black-white mortality differences at older ages over time in the United States. In this article, we employ multiple methods and data sources to provide a comprehensive assessment of this contribution. We find that smoking has contributed to the black-white gap in life expectancy at age 50 for males, accounting for 20 % to 48 % of the gap between 1980 and 2005, but not for females. The fraction of deaths attributable to smoking at ages above 50 is greater for black males than for white males; and among men, current smoking status explains about 20 % of the black excess relative risk in all-cause mortality at ages above 50 without adjustment for socioeconomic characteristics. These findings advance our understanding of the contribution of smoking to contemporary mortality trends and differences and reinforce the need for interventions that better address the needs of all groups.     

Height, frailty, and the standard of living: modelling the effects of diet and disease on declining mortality and increasing height

Explanations of historical trends in both mortality and human height differ over the relative contributions of better nutrition and reduced exposure to disease. This paper explores theoretical models in which interactions between diet and disease determine both mortality and height. One model assumes that adult height is directly related to frailty, the relative risk of dying. The second model links frailty to differences between attained and potential height. Diet plays a small role in the transition to low mortality in the first model. The second model assigns a large role to diet in historical mortality trends, but implies that mortality will be unrelated to height in the future.