Lifetime risk of pregnancy-related death among Zambian women: district-level estimates from the 2010 census

The aim of this study was to examine district differentials in the lifetime risk of pregnancy-related death among females aged 15–49 in Zambia. We used data on household deaths collected in the 2010 census to estimate the lifetime risk of pregnancy-related death among females in Zambia. Using all-cause age-specific death rates, we generated female life tables for 74 districts and estimated person-years of exposure to all-cause mortality at each age. We then applied age-specific pregnancy-related mortality rates to the person-years of exposure to obtain estimates of adult lifetime risk that took account of competing causes of death. We used the ArcGIS software to analyse clustering and the spatial distribution of risk. A female aged 15 in Zambia had a 3.7 % chance of dying a pregnancy-related death before the age of 50. At district level, the lifetime risk ranged from 1.7 to 7.7 %. The Global Moran’s I was 0.452 (z-score 5.8, p value <0.01), indicating clustering of districts with similar risk levels of pregnancy-related mortality. Clustering of high-risk districts was found in Western province while clustering of low risk districts was found in Lusaka and Muchinga provinces. The level of adult lifetime risk was more positively associated with pregnancy-related mortality than with fertility. Females in Zambia have a high lifetime risk of pregnancy-related death overall but this risk varies greatly across the different districts of the country. The observed diversity is larger than when merely studying differences between provinces and is only weakly linked to differences in fertility levels. The identification of districts with varying levels of risk should enable evidence-based and focused delivery of maternal health services in districts where risk of death from maternal causes is greatest.     

Fertility Behaviour and Wealth Situation in Nigeria: Evidence from 2013 Demographic and Health Survey

With the growing interest in evaluation of quality of life, emerging number of methods are presented. Each contribution varies depending on the matter of interest, and all of them address the issue of subjective weighting factors. The objective of this paper is to explore possibilities to enhance Better Life ranking methodology, available from the Better Life initiative website, using I-distance method. The result was twofold: firstly, we pointed out potential shortcomings of subjectively chosen weights of Better Life ranking methodology by employing our I-distance approach. Secondly, we provided detailed information on how each Better Life indicator contributes to the final position and emphasize the essential indicators in the process of ranking. We have collected the latest available data for 2014, including all 24 indicators of the Better Life composite index. After that we have compared the two ways of rankings, i.e. the I-distance ranking and the Better Life ranking, emphasizing the improvement offered by the I-distance methodology. Further, through iterative exclusion of indicators based on the level of their significance, we have reached the highest quality of the model. That model includes the following six indicators: personal earnings, water quality, life satisfaction, household net adjusted disposable income, employment rate, rooms per person. Hereby, we have compared and presented ranking changes at each iteration for the top 10 countries, which offer a level of consistency in their rank. In addition, one of the objectives is to help policymakers focus on the key indicators in order to improve the ranking of the country, showing governments and administrations which indicators are the most important to invest into. Moreover, our approach could be the foundation for impartial framework of the quality of life’s assessment, independent of subjectively formed weighting factors.     

Multistate Transfer Rate Estimation from Adjacent Populations

In multistate populations, the rates of interstate transfer cannot generally be determined from the size and composition of the populations at the beginning and end of a time interval. With N living states, the population data give only N equations to determine the N ² possible rates. Here, the QERT (quadratic estimation of rates of transfer) approach is advanced that allows the transfer rates to be estimated when the products of selected pairs of rates can be assumed constant. The solution can be written in closed form and, for N living states, involves no more than N?1 quadratic equations. Compared to the leading alternative approaches, QERT provides very similar numerical estimates, while yielding the underlying behavioral rates, having flexible input requirements, accommodating all structural zeros, and reproducing the exact solution when interstate transfers are strictly hierarchical. The QERT approach is applied to construct labor force life tables for U.S. men and women for 2005–2010. The results show that labor force participation differences between men and women have continued to narrow, and that the QERT approach can generate robust worklife estimates. QERT thus provides new opportunities for demographic analysis in the absence of direct data on behavioral rates.     

Aspirations of Migrants and Returns to Human Capital Investment

Although there is adequate literature on the topic of state-employer collusion, this literature is barely underpinned in any theoretical framework. This article attempts to fill this theoretical lacuna by revisiting Gouldner’s (Patterns of industrial bureaucracy: a case study of modern factory administration, The Free Press, New York, 1954a) pioneering theoretical framework on patterns of bureaucracy, and extends his concept of mock bureaucracy to develop a new concept called ‘mock state bureaucracy’ to illustrate state-employer collusion in controlling workers in plants in developing third world economies. The article revisits and extends Gouldner’s (1954a) unit of analysis from the ‘firm’ level to the ‘state’ level and argues that the new concept mock state bureaucracy provides a better illustration of the state-employer collusion. The article argues that both ‘state’ and ‘employer’ are important units of analysis and they should be brought back to the centre stage of any discourse on employment relations of developing countries.     

Towards a Theory of Medium Term Life Satisfaction: Similar Results for Australia,Britain and Germany

We analyse the Life Satisfaction trajectories of respondents in three long-running, national panel surveys: the Household, Income and Labour Dynamics Australia Survey (HILDA), the British Household Panel Survey (BHPS) and the German Socio-Economic Panel (SOEP). Previous research has shown that substantial minorities of respondents in all three countries recorded long term changes in LS (Fujita and Diener in J Personal Soc Psychol 88:158–64, 2005; Headey in Soc Indic Res 76:312–317, 2006; Headey et al. in Proc Natl Acad Sci 107:17922–7926, 2010; Headey et al. Soc Indic Res 112:725–48, 2013). In a recent SIR paper based on the German data (Headey and Muffels in Soc Indic Res, 2015. doi: 10.1007/s11205-015-1146-8), we showed graphs of LS trajectories which suggested—and subsequent statistical analysis confirmed—that respondents typically spend multiple consecutive years above and, in other periods, below their own long term mean level of LS. Here we extend the analysis to Australia and Britain, showing that results replicate in two more Western countries. It appears that most people go through relatively happy periods of life, and relatively unhappy periods. The evidence runs counter to set-point theory which views adult LS as stable, except for short term fluctuations due to life events. In the second half of the paper we try to contribute to a theory of medium term life satisfaction. We estimate structural equation models with two-way causation between LS and variables usually treated as causes of LS, including health, social support, frequency of social activities, and satisfaction with one’s work, partner and family life. In all three countries we find that there are positive feedback loops between these variables and LS, which partly account for extended periods of high or low LS. The two-way causation models are based on a modified concept of ‘Granger-causation’ (Granger in Econometrica 37(3):424–38, 1969). The main intuition behind Granger-causation is that if x can be shown to be statistically significantly related to y in a model which includes multiple lags of y, then it can be inferred that x is one cause of y.     

Twenty Years of Research on the Relationship Between Economic and Social Performance: A Meta-analysis Approach

This study examines the role of political efficacy and social networks in rural China to understand the social characteristics that might affect an individual’s disposition to join in public deliberations. A model is developed and empirically tested by Partial Least Squares analysis. This shows active involvement in public deliberation to be positively influenced by political efficacy (with external political efficacy being a partial mediator), high internal or external political efficacy, and a high internal efficacy leading to high external political efficacy. Social networks have a moderating effect, individuals with a high social network status having an enhanced positive internal political efficacy-public deliberation involvement but weakened positive external political efficacy-public deliberation involvement. The research advances the theoretical understanding of complex political psycho-behavior relationships and provided insights into the role of social settings. The findings could also help boost deliberative democracy in such limited democratic societies as China.     

How We Fall Apart: Similarities of Human Aging in 10 European Countries

We analyze human aging—understood as health deficit accumulation—for a panel of European individuals, using four waves of the Survey of Health, Aging and Retirement in Europe (SHARE data set) and constructing a health deficit index. Results from log-linear regressions suggest that, on average, elderly European men and women develop approximately 2.5 % more health deficits from one birthday to the next. In nonlinear regressions (akin to the Gompertz-Makeham model), however, we find much greater rates of aging and large differences between men and women as well as between countries. Interestingly, these differences follow a particular regularity (akin to the compensation effect of mortality) and suggest an age at which average health deficits converge for men and women and across countries. This age, which may be associated with human life span, is estimated as 102 ± 2.6 years.     

Ability drain: size,impact, and comparison with brain drain under alternative immigration policies

Ability drain’s (AD) impact seems economically significant, with 30% of US Nobel laureates since 1906 being immigrants, and immigrants or their children founding 40% of Fortune 500 companies. Nonetheless, while brain drain (BD) and gain (BG) have been studied extensively, AD has not. I examine migration’s impact on ability (a), education (h), and productive human capital or “skill” s =s(a,?h), for source country residents and migrants under (a) the points system (PS) which accounts for h and (b) the “vetting” system (VS) which accounts for s (e.g., US H-1B program). The findings are as follows: (i) Migration reduces (raises) residents’ (migrants’) average ability, with an ambiguous (positive) impact on average education and skill, and net skill drain, SD, likelier than net BD; (ii) these effects increase with ability’s inequality or variance, are greater under VS than PS, and hurt source countries; (iii) the model and two empirical studies suggest average AD?≥?BD for educated US immigrants, with real income about twice the home country income; and (iv) SD holds for any BD and for a very small AD (7.4% of our estimate). Policy implications are provided.     

Modeling Comprehensive Dispersion of the Administrative Villages and Its Association with Economic Poverty: A Case Study from Poverty-Stricken Mountainous County,China

Identifying the dispersion of the administrative villages is one of prerequisites for the rational allocation of sources and services during implementing “Entire-Village Advancement” poverty alleviation strategy of China. From the perspective of an administrative village scale, this paper develops a methodology serving the construction of a comprehensive dispersion evaluation model and the examination of the relationship between dispersion and economic poverty. Specially, we develops an village-level comprehensive dispersion evaluation model that is presented in two forms of Euclidean Dispersion Index (EDI) versus Dispersion Composite Index (DCI), using spatial statistical analysis to examine the comprehensive dispersion of the administrative village and its association with the Net Income of Village Residents (NIVR) under different geographic and socioeconomic conditions. The case study in Neixiang County of China shows that, DCI is more rational and objective than EDI for scoring details of the village’s dispersion, especially in the mountainous area; DCI has a more significant spatial autocorrelation and a more significantly negative relationship to NIVR than EDI; the negative correlation between DCI and NIVR is obviously stronger in mountainous area than that in the hill and plain area; The closer to the economic circle, the higher NIVR vs. the lower DCI. Which not only provides new perspective and way to deal with dispersion, but also helps guide policies for effective poverty interventions.     

The Role of Financial Development and Economic Misery on Life Expectancy: Evidence from Post Financial Reforms in India

Several survey studies have found that internal migrants report lower levels of happiness than locals, even after accounting for socio-economic factors. Traditional global self-ratings reveal that the migrant–local happiness-gap is also present in the data we present. The reasons for the migrant–local happiness-gap are as yet unclear. This paper aims to open this ‘black box’ by exploring the role of daily activities among a population that has generally been overlooked despite their high migration frequency: young adults. An innovative smartphone application is used that combines two techniques for multiple moment assessment: the experience sampling method and the day reconstruction method. Based on the application data, we examine whether internal migrants spend their time differently than locals and in which situations they feel noticeably less happy than locals. The data reveal that internal migrants distribute less time to happiness-producing activities such as active leisure, social drinking/parties, and activities outside home/work/transit. Internal migrants feel less happy than locals when spending time with friends and while eating. Possible explanations focusing on the role of social capital are discussed. Further analyses reveal that daily life experiences greatly enhance the explanation of the migrant–local happiness-gap. This paper demonstrates the potential value of real-time data and phone applications in solving happiness puzzles.     

How are the Kids Doing? How do We Know?

With a focus on the United States, this paper addresses the basic social indicators question: How are we doing? More specifically, with respect to children, how are our kids (including adolescents and youths) doing? These questions can be addressed by comparisons: (1) to past historical values, (2) to other contemporaneous units (e.g., comparisons among subpopulations, states, regions, countries), or (3) to goals or other externally established standards. The Child and Youth Well-Being Index (CWI), which we have developed over the past decade, uses all three of these points of comparison. The CWI is a composite index based on 28 social indicator time series of various aspects of the well-being of children and youth in American society that date back to 1975, which is used as a base year for measuring changes (improvements or deterioration) in subsequent years. The CWI is evidence-based not only in the sense that it uses time series of empirical data for its construction, but also because the 28 indicators are grouped into seven domains of well-being or areas of social life that have been found to define the conceptual space of the quality of life in numerous studies of subjective well-being. Findings from research using the CWI reported in the paper include: (1) trends in child and youth well-being in the United States over time, (2) international comparisons, and (3) best-practice analyses.     

Arts and the quality of life: an Exploratory study

The aim of this investigation was to measure the impact of the arts broadly construed on the quality of life. A randomly drawn household sample of 315 adult residents of Prince George, British Columbia served as the working data-set. Examining zero-order correlations, among other things, it was found that playing a musical instrument a number of times per year was positively associated with general health (r = 0.37), while singing alone a number of hours per week was negatively associated with general health (r = ?0.19). The strongest positive associations with life satisfaction are satisfaction obtained from gourmet cooking and embroidery, needlepoint or cross-stitching, at r = 0.39 andr = 0.32, respectively. The satisfaction obtained from gourmet cooking (r = 0.35) and buying works of art (r = 0.32) were the most positive influences on happiness. The strongest associations with the Index of Subjective Well-Being are the satisfaction obtained from gourmet cooking (r = 0.37) and the satisfaction obtained from knitting or crocheting (r = 0.34). Examining multivariate relations, it was found that eight predictors combined to explain 59% of the variance in life satisfaction scores, with self-esteem satisfaction (β = 0.35) and friendship satisfaction (β = 0.27) most influential. Among the arts-related predictors in the eight, singing alone was fairly influential and negative (β = ?0.18), while the satisfaction obtained from reading to others (β=0.08) and the Index of Arts as Self-Health Enhancers (β = 0.11) were somewhat less influential. When the arts-related predictors were combined with a set of domain satisfaction predictors, total explanatory power was increased by only 3 percentage points. Seven predictors could explain 58% of the variance in satisfaction with the overall quality of life scores. Of the arts-related predictors, only time spent going to non-art museums was significant (β = 0.07). Arts-related predictors did not increase explanatory power at all beyond that obtained from domain satisfaction variables alone. Eight predictors explained 42% of the variance in happiness scores, with the most influential predictors including satisfaction with self-esteem (β = 0.37) and financial security (β = 0.21), followed by the Index of Arts as Self-Developing Activities (β = 0.18). Arts-related predictors added 3 percentage points of explanatory power to that obtained from domain satisfaction scores. Seven predictors could explain 65% of the variance in scores on the Index of Subjective Well-Being, led by self-esteem satisfaction (β = 0.35) and financial security satisfaction (β = 0.30). The Index of Arts as Community Builders had a modest influence (β = 0.11), but all together, arts-related predictors increased our total explanatory power by a single percentage point. Summarizing these multivariate results, it seems fair to say that, relative to the satisfaction obtained from other domains of life, the arts had a very small impact on the quality of life (measured in four somewhat different ways) of a sample of residents of Prince George who generally cared about the arts. Even in absolute terms, arts-related activities could only explain from 5% to 11% of the variance in four plausible measures of the self-perceived quality of respondents’ lives. By comparing the composition of our sample with census data from 2001, it was demonstrated that the sample was not representative of residents of our city. It would, therefore, be wrong to generalize our findings to the whole population of Prince George or to any larger population.     

The Influence of Social Models on Retirement Savings: Evidence for European Countries

Population ageing, together with the negative effects of the recent economic and financial crisis that some European countries are still facing, have threatened the sustainability of public pension systems. In this context, voluntary private pensions have emerged as the most feasible alternative to supplement the minimum provided by Social Security Systems; however, this financial product does not enjoy its expected popularity. A potential explanation of this reality might be due to the fact that European countries are far from being homogeneous, nor their pensions systems. Therefore, any policy geared toward improving financial retirement planning should take into account these potential differences. As a first approach to their analysis, this paper proposes the existence of four different ‘social models’ in Europe -namely, Continental, Mediterranean, Nordic and Transitional-. Overall, empirical evidence confirmed the significant influence of country’ ‘social model’ on the decision to invest in retirement accounts on a sample of 31,468 individuals in 2013. It was also proved that this decision is positively related to age, household income and wealth, higher levels of formal education, job situation, good health status, and long-term planning horizons; and negatively related to age squared, household size or financial risk aversion. In short, future policies and reforms regarding private pensions should not only take into account the existence of individual differences among Europeans, but also the existence of differences depending on institutional and cultural country factors.     

Religion and Gender Equality Worldwide: A Country-Level Analysis

Conceptually, the Satisfaction with Life Scale (SWLS; Diener et al. in J Pers Assess 49(1):71–75, 1985) emphasizes evaluations comparing actual and expected life circumstances. Contrastingly we developed the Harmony in Life Scale (HILS) emphasizing psychological balance and flexibility in life. Study 1 (476 participants) developed the HILS. In Study 2 participants (N = 787, T1; N = 545, T2) answered well-being related questionnaires and generated words/texts related to HIL/SWL. The HILS yields satisfactory statistical properties, correlates as expected to well-being related scales, whilst HIL/SWL form a two-factor model. Hierarchical regressions reveal that HILS explains considerably more unique variance than SWLS in most included measures. Quantitative semantic analyses (employing latent semantic analyses) on words related to HIL/SWL reveal that they differ significantly in their semantic content. Word frequency analyses show that harmony significantly relate to peace, balance, etc. and satisfaction with job, money, etc. The HILS demonstrates validity, reliability, and uniqueness complementing the SWLS in forming a more holistic understanding of subjective well-being.     

Supervisor–Subordinate <Emphasis Type="Italic">Guanxi</Emphasis> and Job Satisfaction Among Migrant Workers in China

In urban China, improving rural–urban migrant workers’ subjective wellbeing has become an important goal for workplaces and local governments. Drawing from the social capital theory and using original survey data, we examine the relationship between migrant workers’ guanxi (‘personal relations’ in the Chinese context) with their supervisors and their job satisfaction. Our results show that supervisor–subordinate guanxi is positively related to migrant workers’ job satisfaction. This relationship is mediated by network resources and personal power, which serve as their social resources in workplaces. Our study contributes to the positive psychology literature by understanding the role of guanxi in shaping Chinese migrant workers’ job satisfaction. Implications and future research directions are discussed.     

A Theory of Life Satisfaction Dynamics: Stability,Change and Volatility in 25-Year Life Trajectories in Germany

An adequate theory of life satisfaction (LS) needs to take account of both factors that tend to stabilise LS and those that change it. The most widely accepted theory in the recent past—set-point theory—focussed solely on stability (Brickman and Campbell, in: Appley (ed) Adaptation level theory, Academic Press, New York, pp 287–302, 1971; Lykken and Tellegen in Psychol Sci 7:186–189, 1996). That theory is now regarded as inadequate by most researchers, given that national panel surveys in several Western countries show that substantial minorities of respondents have recorded large, long term changes in LS (Sheldon and Lucas in The stability of happiness, Elsevier, Amsterdam, 2014). In this paper we set out a preliminary revised theory, based mainly on analysis of the LS trajectories of the 2473 respondents in the German Socio-Economic Panel who reported their LS for 25 consecutive years in 1990–2014. The theory entails three sets of propositions in which we attempt to account for stability, change and also volatility. First, it is proposed that stability is primarily due to stable personality traits, and also to parental influence on LS. The second set of propositions indicates that medium and long term changes are due to differences and changes in personal values/life priorities and behavioural choices. Differences in the priority given to pro-social values, family values and materialistic values affect LS, as do behavioural choices relating to one’s partner, physical exercise, social participation and networks, church attendance, and the balance between work and leisure. Medium term change is reinforced by two-way causation—positive feedback loops—between values, behavioural choices and LS. The third set of propositions breaks new ground in seeking to explain inter-individual differences in the volatility/variability of LS over time; why some individuals display high volatility and others low, even though their mean level of LS may change little over 25 years.     

Quality of Life in Intentional Communities

The present study was initiated to investigate levels and predictors of wellbeing among inhabitants of intentional communities (ICs). An anonymous, Internet-based questionnaire was distributed to US and Canadian ICs. Responses were obtained from 913 members. Wellbeing was measured by the widely used satisfaction with life scale (SWLS). Hierarchical linear regression analyses were run to test the predictive validity of Social support, Identity fusion, Meaning in life, Community satisfaction and Life change, and Religious activity above and beyond demographic variables and personality traits. Mean scores on the SWLS were estimated to 5.27 and 5.47 (1–7 scale) for men and women, respectively. The full model explained 41.4% of the variance for men and 38.2% for women. Personality explained 13.4 (men) and 14.4% (women) of the variation, while demographic variables only had a minor impact. Overall, presence of Meaning in life and Social support were the most important predictors. The IC inhabitants reported wellbeing on par with the highest scores previously published. The findings support the contention that sustainability, in the form of a communal lifestyle of low ecological footprint, may be promoted without forfeiting wellbeing.     

A Decade of Sub-national Pro-poor Growth in Pakistan

The literature on subjective well-being has highlighted the negative effects associated with the restrictions and inequality imposed by the hukou system on China’s rural population. However, quantifying the cost of holding a rural hukou has generally been challenging because it can reflect unobserved individual characteristics related to educational and occupational choices. Thanks to RUMiC, a new longitudinal database on China, this limitation can be overcome by exploiting exogenous changes in hukou status due to land expropriation. The results support that receiving an urban hukou substantially enhances subjective well-being within the household, especially for males. The results complement a growing literature on subjective well-being focusing on China.     

A Flexible Bayesian Model for Estimating Subnational Mortality

Reliable subnational mortality estimates are essential in the study of health inequalities within a country. One of the difficulties in producing such estimates is the presence of small populations among which the stochastic variation in death counts is relatively high, and thus the underlying mortality levels are unclear. We present a Bayesian hierarchical model to estimate mortality at the subnational level. The model builds on characteristic age patterns in mortality curves, which are constructed using principal components from a set of reference mortality curves. Information on mortality rates are pooled across geographic space and are smoothed over time. Testing of the model shows reasonable estimates and uncertainty levels when it is applied both to simulated data that mimic U.S. counties and to real data for French départements. The model estimates have direct applications to the study of subregional health patterns and disparities.     

From Privilege to Prevalence: Contextual Effects of Women’s Schooling on African Marital Timing

In Africa and elsewhere, educated women tend to marry later than their less-educated peers. Beyond being an attribute of individual women, education is also an aggregate phenomenon: the social meaning of a woman’s educational attainment depends on the educational attainments of her age-mates. Using data from 30 countries and 246 birth cohorts across sub-Saharan Africa, we investigate the impact of educational context (the percentage of women in a country cohort who ever attended school) on the relationship between a woman’s educational attainment and her marital timing. In contexts where access to education is prevalent, the marital timing of uneducated and highly educated women is more similar than in contexts where attending school is limited to a privileged minority. This across-country convergence is driven by uneducated women marrying later in high-education contexts, especially through lower rates of very early marriages. However, within countries over time, the marital ages of women from different educational groups tend to diverge as educational access expands. This within-country divergence is most often driven by later marriage among highly educated women, although divergence in some countries is driven by earlier marriage among women who never attended school.