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.     

Job Insecurity: Differential Effects of Subjective and Objective Measures on Life Satisfaction Trajectories of Workers Aged 27–30 in Germany

Job insecurity has become increasingly evident in European countries in recent years. In Germany, legislation has increased insecurity through erosion of the standard employment relationship. Fixed-term contracts are central to definitions of insecurity based on atypical or precarious work but there is still limited understanding of what creates insecurity and how it affects workers. Drawing on Bourdieu’s thesis that “insecurity is everywhere”, the relationships between subjective and objective measures of insecurity are examined for their impact on the 5-year trajectories of life satisfaction of men and women in the age group 27–30. Latent growth curve analysis of data from the German Socio-Economic Panel for 2010–2014 highlights the adverse and lasting effects of subjective concerns about job insecurity on life satisfaction trajectories. This association cuts across educational groups, with far reaching implications as subjective concerns about job security permeate young worker’s lives well beyond the objective condition of being employed on a fixed-term contract.     

An Empirical Assessment of Households Livelihood Vulnerability: The Case of Rural Ghana

The recent years witnessed a sharp drop in China’s demographic dividend; therefore, some reform measures about China’s fertility policy have been adopted to optimize population structures and to maintain demographic dividend. However, our simulation results reveal that the new two-child fertility policy cannot effectively deal with population ageing, and that China’s fertility policy needs further adjustment. Specifically, we find that the new two-child fertility policy will deteriorate demographic dividend before 2050, through combination of simulation results and formula derivation. Aiming to stabilize demographic dividend at ideal range all the time, we build nonlinear integer programming model to propose an appropriate reforming path for China’s fertility policy. Then, we simulate and compare demographic developments under the proposed reforming path with those under three possible fertility policies: one-child, two-child and no fertility restriction, verifying that the proposed reforming path has better performance on stabilizing demographic dividend than these three fertility policies have. Finally, sensitivity analysis of upper bound of research interval is conducted to evaluate the effect of the upper bound on proposed reforming path. Based on these results, we suggest that China should continue to execute current strict fertility policy before 2032, then begin to relax it gradually especially during 2036–2041, and completely cancel fertility policy after 2065.     

SNAP Benefits and Pregnancy-Related Emergency Room Visits

Pregnant women are likely to be sensitive to daily fluctuations in nutritional intake. To see if income constraints at the end of the month limit food consumption and trigger health problems, we examine how the date that benefits are issued for the Supplemental Nutrition Assistance Program (SNAP) changes the probability that a woman will go to the Emergency Room (ER) for pregnancy-related conditions using administrative data from SNAP and Medicaid from Missouri for 2010–2013. SNAP benefits in Missouri are distributed from the 1st through the 22nd day of the month based on the birth month and the first letter of the last name of the head of the household, making timing of SNAP issuance exogenous. We estimate probit models of the calendar month and SNAP benefit month on the probability of a pregnancy-related ER visit for women age 17–45, or the sample at risk of being pregnant. We also examine the relationship between SNAP benefit levels and ER visits. We found that women who received SNAP benefits in the second or third week of the calendar month were less likely to receive pregnancy-related care through the ER in the week following benefit receipt. Results suggest that SNAP benefits might be related to patterns of pregnancy-related medical care accessed through the ER. Since SNAP issuance date is within state control in the United States, states may want to consider the health effects of their choice.     

Subsequent Migration of Immigrants Within Australia, 1981–2016

Australia is a major immigration country and immigrants currently represent around 28% of the total population. The aim of this research is to understand the long-term consequences of this immigration and, particularly, how migrants respond to opportunities within the country after arriving through the process of subsequent (internal) migration. The focus is on major immigrant groups in Australia, including persons born in the United Kingdom, New Zealand, China and India, and how their patterns differ from persons born in Australia. To conduct this analysis, we have gathered data for a 35-year period based on quinquennial census data. We also obtained birthplace-specific mortality data for constructing multiregional life tables for the immigrant populations. Subsequent migration is important for understanding population redistribution, and the relative attractiveness of destinations within host countries. Our results highlight the importance of subsequent migration and the diversity of migration behaviours amongst different immigrant groups in the context of overall declines in internal migration since 1981.     

Business Cycles,Medicaid Generosity,and Birth Outcomes

Birth outcomes influence many aspects of later life health and wellbeing, making healthcare access during pregnancy a policy priority. Low-income mothers often depend on Medicaid, for which eligibility is determined by their income relative to state eligibility thresholds. The prevalence of adverse birth outcomes is known to exhibit cyclical variation, due in part to changes in the composition of women giving birth in response to changing economic conditions. However, cyclical variation in adverse birth outcomes also varies with respect to Medicaid eligibility thresholds. Our analysis uses birth-records data for 2000 through 2013, aggregated into 173,936 county-by-quarter observations and linked to county-level unemployment rates and state-level parental Medicaid thresholds. Using fixed-effects negative binomial models, we examine the role of Medicaid generosity in influencing birth outcomes across business cycles. We test for interactions between Medicaid and unemployment, hypothesizing that the negative effects of recessions are worse where Medicaid thresholds are more restrictive. We find that higher Medicaid generosity dampens the negative effects of recessions on birth outcomes. The extent to which Medicaid interacts with unemployment also varies according to the age and race composition of mothers; in particular, Black mothers are both most affected by unemployment and most responsive to Medicaid generosity. Given current concerns about racial gaps in both infant and maternal mortality, our findings suggest that Medicaid may be an important feature of a strategy to close gaps in the prevalence of adverse birth outcomes across racial groups, especially during bust years.     

The Evolving and Complementary Impacts of Transportation Infrastructures on Population and Employment Change in the United States, 1970–2010

Transportation infrastructures play an essential role in influencing population and employment change. While railroads, highways, and airports were constructed in different time periods, now they complement each other in terms of providing accessibility. This study uses county-level data to examine the impacts of the three forms of transportation infrastructure on population and employment change in the continental United States from 1970 to 2010. The findings suggest that transportation infrastructures play evolving but complementary roles in affecting population and employment change during the study period: railroads act as a distributive factor, highways take a facilitator role, and airports behave like growth poles. Diversification of the roles indicates that transportation infrastructures have evolved from a pure growth factor to an essential multifaceted development element of human society.     

Vocational Experiences and Quality of Life of Migrants: Overview and Future Research

Quality of life is a complicated concept that has attracted broad attention from multiple disciplines. This article introduces a set of studies that employ diverse approaches to explore how work, vocational, and career experiences shape quality of life among migrants, and proposes a future agenda to extend this stream of research. Specifically, operationalizing quality of life in different ways, research showcased in this special issue has demonstrated how international and intranational migrants achieve, maintain, and enhance their well-being in different life domains. Reflecting on the literature and the showcased studies, this article proposes that future research should advance the current inquiry by better categorizing vocational experiences, uniquely operationalizing of quality of life in migration contexts, taking a more culturally sensitive perspective, and broadening methodological approaches.     

Using the Shapley Decomposition to Disentangle the Impact of Circumstances and Efforts on Health Inequality

Following previous work on inequality in health opportunity, this paper attempts to determine the contribution of circumstances, efforts and lifestyle, and demographic variables to the overall inequality in health in Luxembourg. Health is measured via the answers given to a question on self-assessed health and is considered as an ordinal variable. The educational level of each parent, the financial situation of the family during childhood, the area of birth of the individual, and of his/her parents, and the year of immigration are considered as circumstances. Effort and lifestyle variables are proxied by information on the educational level of the individual, whether he/she smoked and whether he/she had a physical activity on a regular basis. Sex and age are considered as demographic variables. To solve the issue of correlation between circumstances and effort and lifestyle the estimation is implemented in two stages. In the first stage, each effort and lifestyle variable is regressed in a separate equation against the vector of circumstances and demographic variables and, in a second stage, the individual health status is regressed against the vector of circumstances and demographic variables along with the estimated residuals of the effort equations described previously. The respective impacts of the three categories of explanatory variables (circumstances, effort and lifestyle and demographic variables) on health inequality are derived via a Shapley decomposition of the likelihood ratio of the health ordered logit regression. It appears that differences in circumstances and effort and lifestyle explain each around a quarter of this likelihood ratio.