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.     

Social vulnerability and migration in the wake of disaster: the case of Hurricanes Katrina and Rita

This study explores the relationship between place-based social vulnerability and post-disaster migration in the U.S. Gulf Coast region following Hurricanes Katrina and Rita. Using county-level data from the U.S. Census Bureau, we develop a regional index of social vulnerability and examine how its various dimensions are related to migration patterns in the wake of the storms. Our results show that places characterized by greater proportions of disadvantaged populations, housing damage, and, to a lesser degree, more densely built environments were significantly more likely to experience outmigration following the hurricanes. Our results also show that these relationships were not spatially random, but rather exhibited significant geographic clustering. We conclude with a discussion of the implications of these findings for future research and public policy.     

Using Surveys in Public Participation Processes for Risk Decision Making: The Case of the 2003 British GM Nation? Public Debate

This article takes as its case study the “GM Nation?” public debate, a major participation process on the commercialization of agricultural biotechnology, which occurred in Britain during the summer of 2003. We investigate possible self‐selection biases in over 36,000 open questionnaire responses on the risks and benefits of genetically modified crops and food obtained during GM Nation? A comparison sample of equivalent responses from a statistically representative sample (n= 1,363) of the British general public obtained shortly after the conclusion of the debate is reported. This comparison shows that the GM Nation? open responses were indeed not fully representative of British “public opinion” regarding agricultural biotechnology. Rather, such opinion is not a unitary whole, but fragmented, with considerable ambivalence coexisting alongside outright opposition to GM agriculture. The methodological implications for multistage participation processes are discussed: in particular, the need to anticipate outcomes of complex design decisions, and to include representative public surveys as standard where measures of broader public attitudes to risk are an important objective.     

Third Way Social Governance: Where is the State?

The ‘Third Way’ politics of Blair's New Labour government of the United Kingdom has popularised a number of policy reforms centred on a supposedly new discourse of ‘devolution’, ‘inclusion’, ‘partnerships’ and ‘community’. These notions reflect a re‐emergence of the ideas and values of civil society, participation and localism. Key drivers of this discourse are: new conceptions of citizenship; a retreat from the social state to a politics of community; and a questioning of both ‘big‐state’ interventionist and competitive market approaches to public policy. These trends have resonance in the Australian context. The welfare reform agenda of the Australian Commonwealth government together with community building and engagement initiatives of State governments have been sites for these policy directions. Much of the debate surrounding these policies excludes or minimises the fundamental role of an active state by focusing on an uncritical conception of community. Drawing on the notion of network governance, an alternative framework for re‐conceptualising state‐community relations and delivering improved community outcomes is posited. The paper concludes by suggesting possible social governance methodologies for actioning this framework.