Polygynists and Their Wives in Sub-Saharan Africa: An Analysis of Five Demographic and Health Surveys

Differential polygyny in Ghana, Kenya, Senegal, Uganda, and Zambia is investigated using individual-level Demographic and Health Surveys data. As well as contrasting polygynists' first wives with women in monogamous unions, the analysis distinguishes higher-order wives from first wives. This permits study of the determinants of the prevalence and intensity of polygyny respectively. Polygyny and other aspects of marriage interlock in very similar ways in all five countries. Individuals' experience of polygyny tends to reflect their luck in the marriage market rather than their socio-economic characteristics. While polygyny is less prevalent in urban areas, other socio-economic factors are important only in Kenya and Zambia, the two countries where less than 25 per cent of married women are in polygynous unions. The prevalence and intensity of polygyny are negatively associated. Thus, any drop in the prevalence of polygyny in Africa may be accompanied by a rise in the number of wives per polygynist.     

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.     

The contribution of media consumption to civic participation

A national UK survey (N = 1017) examined the association between media consumption and three indicators of civic participation - likelihood of voting, interest in politics, and actions taken in response to a public issue of concern to the respondent. Multiple regression analysis was used to test the variance explained by media use variables after first controlling for demographic, social and political predictors of each indicator of participation. Media use significantly added to explaining variance in civic participation as follows. In accounting for voting, demographic and political/social factors mattered, but so too did some media habits (listening to the radio and engagement with the news). Interest in politics was accounted for by political/social factors and by media use, especially higher news engagement and lower media trust. However, taking action on an issue of concern was accounted for only by political/social factors, with the exception that slightly fewer actions were taken by those who watched more television. These findings provided little support for the media malaise thesis, and instead were interpreted as providing qualified support for the cognitive/motivational theory of news as a means of engaging the public.     

Residential preferences,community satisfaction,and the intention to move

This paper explores the role of size of place residential preference in the evolution of the intention to move out of the present community using data from the March 1974 NORC Amalgam Survey. People who prefer to live in a community having different size or location characteristics than their present residence are five times more likely to intend to move than those who have attained their preferred type of residence. Within these two groups, however, the particular configuration of current and preferred residence has no significant effect on the likelihood of intending to move. This finding justifies the creation of a simple dichotomous variable, preference status, contrasting these two groups. Community satisfaction and preference status are highly interrelated and each has an independent effect on intentions to move. Moreover, the effect of preference status on mobility intentions is somewhat larger than that for community satisfaction, indicating that residential preference plays a significant role in the decision-making process regarding migration.     

Adult mortality in sub-Saharan Africa: Evidence from demographic and health surveys

This article reports levels, trends, and age patterns of adult mortality in 23 sub-Saharan Africa countries, based on the sibling histories and orphanhood data collected by the countries' Demographic and Health Surveys. Adult mortality has risen sharply since HIV became prevalent, but the size and speed of the mortality increase varies greatly among countries. Excess mortality is concentrated among women aged 25-39 and among men aged 30-44. These data suggest that the increase in the number of men who die each year has exceeded somewhat the increase for women. It is time for a systematic attempt to reconcile the demographic and epidemiological evidence concerning AIDS in Africa.     

A Flexible Approach for the Decomposition of Rate Differences

Conventional methods of decomposing the difference between two rates, such as Kitagawa's classic component analysis, are confined to taking the average of compositional differences. I propose a more general modeling approach involving three steps: (1) A system of equations with the various additive components of the rate difference is set up; (2) unknowns (refined rate differences) are estimated with Clogg's purging method; (3) the components are calculated. I use an example of U.S. mortality data to compare the proposed method with the conventional ones. The method can be generalized to decompositions for multiple groups and for multiple confounding factors. Kitagawa's method is a special case of this general approach.     

Estimating and comparing adverse event probabilities in the presence of varying follow-up times and competing events

Safety analyses of adverse events (AEs) are important in assessing benefit–risk of therapies but are often rather simplistic compared to efficacy analyses. AE probabilities are typically estimated by incidence proportions, sometimes incidence densities or Kaplan–Meier estimation are proposed. These analyses either do not account for censoring, rely on a too restrictive parametric model, or ignore competing events. With the non-parametric Aalen-Johansen estimator as the “gold standard”, that is, reference estimator, potential sources of bias are investigated in an example from oncology and in simulations, for both one-sample and two-sample scenarios. The Aalen-Johansen estimator serves as a reference, because it is the proper non-parametric generalization of the Kaplan–Meier estimator to multiple outcomes. Because of potential large variances at the end of follow-up, comparisons also consider further quantiles of the observed times. To date, consequences for safety comparisons have hardly been investigated, the impact of using different estimators for group comparisons being unclear. For example, the ratio of two both underestimating or overestimating estimators may not be comparable to the ratio of the reference, and our investigation also considers the ratio of AE probabilities. We find that ignoring competing events is more of a problem than falsely assuming constant hazards by the use of the incidence density and that the choice of the AE probability estimator is crucial for group comparisons.     

Wealth: Determinants of Savings Net Worth and Housing Net Worth of Pre-Retired Households

The objectives of this study are to determine effects of household members' characteristics, financial resources, and attitude toward intergenerational support on change in savings net worth and change in housing net worth. Subsamples of White respondents, Black respondents, and Hispanic respondents were analyzed to identify the effects of race or ethnicity on the dependent variables. Attitude toward intergenerational support was the intervening variable. Change in labor income had a positive impact on change in savings net worth for all three racial or ethnic groups. An additional child in a household and an older age of the household head were likely to decrease the change in savings net worth. Effects of the remaining variables differed by subsample. The effects of labor and nonlabor income were different for the change in savings net worth but not for the change in housing net worth. Some different effects for variables across the three racial or ethnic groups were noted.     

Correcting the Errors: Volatility Forecast Evaluation Using High‐Frequency Data and Realized Volatilities

We develop general model‐free adjustment procedures for the calculation of unbiased volatility loss functions based on practically feasible realized volatility benchmarks. The procedures, which exploit recent nonparametric asymptotic distributional results, are both easy‐to‐implement and highly accurate in empirically realistic situations. We also illustrate that properly accounting for the measurement errors in the volatility forecast evaluations reported in the existing literature can result in markedly higher estimates for the true degree of return volatility predictability.