Cumulative Disadvantage and Connections Between Welfare Problems

In this paper, we perform a latent class factor analysis of a panel that involves two waves of data from an annual survey of living conditions in Sweden that were gathered in the years 1994–1995 and 2002–2003. We follow the same 3,149 individuals over both waves, describing them by sex, age group, family type, nationality background, education level and socio-economic class. Further, since the welfare disadvantages included in the analysis are chronic unemployment, economic problems, health problems, experiences of threat or violence, crowded housing, lack of a close friend and sleeping problems, we also have data on exactly which welfare problems each individual in the data set suffers from. In the empirical analysis, latent class factor analysis provides us not only with information on which individual characteristics that are important in the accumulation of welfare problems, but also gives us information on which disadvantages in fact are accumulated. First, we find that welfare problems do cluster. Second, the welfare problems that most often appear at a factor level with several disadvantages are experiences of threat or violence and sleeping problems. Finally, being an immigrant and being single are individual characteristics that turn up most often in factor levels with problem accumulation, whereas there is no distinctive difference between the sexes. However, women seem to be more prone to suffer from experiences of threat or violence and sleeping problems, while men are more likely to suffer from lack of a close friend.     

Measuring Mutual Help Willingness and Criteria among Hong Kong People: Confirmatory Factor Analyses

Mutual help has been often found to be beneficial for people’s well-being in clinical settings. Research in the general population, however, is relatively limited, partly due to the lack of applicable measurement tools. The present study attempted to develop two scales to measure mutual help willingness and criteria and test their psychometric properties among a community sample of Hong Kong people (n = 951). Confirmatory factor analyses suggested that the hypothetical models fitted the data very well. Results also indicated that though the willingness to seek help and to give help was significantly correlated, Hong Kong people were generally more willing to give help than to seek help. Age had a negative effect on help-seeking willingness, which can not be explained by education level. A set of criteria were applied similarly when people decided on help-giving and help-seeking. Agreement with the criteria was negatively correlated with age but the associations became negligible when education level was controlled. Research and practical implications of the findings are discussed.     

Who Benefits from Religion?

Many studies have documented the benefits of religious involvement. Indeed, highly religious people tend to be healthier, live longer, and have higher levels of subjective well-being. While religious involvement offers clear benefits to many, in this paper we explore whether it may also be detrimental to some. Specifically, we examine in detail the relation between religious involvement and subjective well-being. We first replicate prior findings showing a positive relation between religiosity and subjective well-being. However, our results also suggest that this relation may be more complex than previously thought. While fervent believers benefit from their involvement, those with weaker beliefs are actually less happy than those who do not ascribe to any religion—atheists and agnostics. These results may help explain why—in spite of the well-documented benefits of religion—an increasing number of people are abandoning their faith. As commitment wanes, religious involvement may become detrimental to well-being, and individuals may be better off seeking new affiliations.     

The Relationship Between Hope,Eustress, Self-Efficacy,and Life Satisfaction Among Undergraduates

The construct of eustress was studied alongside hope and self-efficacy, to explore how these constructs are related to life satisfaction among undergraduates. Questionnaires were administered to undergraduates to test the hypotheses that (1) as eustress levels increase, so will life satisfaction levels; (2) when eustress, hope, and self-efficacy are examined together, they will predict life satisfaction better than eustress alone; (3) eustress, hope, and self-efficacy will all be positively correlated with life satisfaction; and (4) self-efficacy will be the most positively correlated with life satisfaction. The results revealed a significant positive correlation between eustress and life satisfaction. A Hierarchical Linear Regression analysis revealed significant results supporting hypotheses 2 and 3, but not hypothesis 4. Results indicated that hope is the best predictor of life satisfaction. The work reported provides a reliable tool for measuring eustress, examines eustress in a new way at the academic level, and provides helpful information about student wellness to college administrators.     

Follow-up surveys for census estimates of maternal mortality: experiences from Bolivia and Mozambique

Maternal mortality measurement through special census questions will be a common practice in the 2010 census round. To check this information or make it cause-specific, some countries have experimented with follow-up surveys containing verbal autopsies or triangulation with administrative data. However, follow-up studies can be costly and not without complications. In order to assess the benefits, two such experiences are discussed in detail (Bolivia, 2002; and Mozambique 2007–2008) and two others mentioned more briefly (Islamic Republic of Iran, 1996; and Democratic People’s Republic of Korea, 2008). In the former, several problems were apparent. In Mozambique, the follow-up survey used a cluster sample of 4.5% of deaths, from all causes. This design was adequate for the more common causes, but not for maternal mortality. Another problem was the large proportion of invalid cases (35.1%, plus 16% not verifiable) and the likelihood that there was a similar proportion of omitted deaths. The Bolivian census generated many invalid cases and missing ages, due in part to the flawed design of the questionnaire. This overburdened the follow-up, so that only 15% of the census deaths of women of reproductive age unrelated to pregnancy could be investigated. Once the false positives were eliminated, the results seem consistent with Growth Balance analyses, but the many classification errors compromise confidence in the results. Despite this mixed record of outcomes, it is believed that carrying out a limited number of similar studies in the current census round may be valuable, if appropriate lessons are learned from these experiences.     

A longitudinal analysis of family migration and the gender gap in earnings in the united states and great britain

This article uses longitudinal data for the United States and Great Britain to examine the impact of residential mobility and childbirth on the earnings of women, their family earnings, and the related division of earnings by gender. This project is the _ rst to compare explicitly the impact of childbirth and family migration on women’s earnings, and it extends prior cross-sectional and longitudinal studies on isolated countries by providing a direct contrast between two major industrialized nations, using comparable measures. The results indicate that families respond in similar ways in both countries to migration and childbirth. In response to both migration and childbirth, women’s earnings fall at the time of the event and recover slowly afterward, but the magnitude of the impact is roughly twice as large for childbirth as for migration. However, migration but not the birth of a child is also associated with a significant increase in total family earnings because of increased husbands’ earnings. As a result, the effect of migration on the relative earnings of wives to husbands is similar to the effect of childbirth. These results suggest that family migration should be given consideration in the literature on the gender earnings gap.     

Composition and decomposition in nonmarital fertility

Ermisch (2009) criticized Gray, Stockard, and Stone (2006), arguing that they incorrectly tested a model positing a nonlinear relationship between the nonmarital fertility ratio and the proportion of unmarried women. I identify a different problem, which is that even if this model were to hold for a particular population, it would not in general hold for subgroups of this population; likewise, were it to hold for subgroups, it would not hold for aggregations of these subgroups.     

Increment–Decrement Life Table Estimates of Happy Life Expectancy for the U.S. Population

Using large nationally representative longitudinal data on changes in happiness and mortality and multivariate increment–decrement life tables, we assess length of quality life through cohort estimates of happy life expectancies. We examine population-based and status-based life expectancies in absolute term of years and relative term of proportions. We find that happy life expectancies exceed unhappy life expectancies in both absolute and relative terms for the overall population and population in each state of happiness at any given age. Being happy (as opposed to unhappy) at any age brings a longer life and more of the future life spent in happiness. We also examine social differentials in the estimates of happy life expectancy at each age by sex, race, and education. The educational gap in happy life expectancies is larger than the sex and race gaps. For the better educated, longer life consists of a longer happy life and shorter unhappy life in both years and proportions and regardless of happy or unhappy status at any given age.     

Hispanic Fertility,Religion and Religiousness in the U.S.

Is the higher fertility of Hispanics in the United States due to their religion and/or to their greater religiousness? Evidence from national survey data indicates no difference in fertility between Protestant and Catholic Hispanic women but Hispanics are more religious than non-Hispanics in terms of the perceived importance of religion in their personal lives. Religiousness is associated with higher fertility but Hispanic fertility is higher than non-Hispanic fertility regardless of religion or religiousness. Ethnic differences in education and income in turn are more important for fertility than the religious dimension.