In Eritrea, state, traditional, and religious laws equally prevail, but any of these legal systems may be put into play depending upon the individual or individuals involved in a legal dispute. Because of conflicting laws, it has been difficult for Eritreans to come to a consensus on what constitutes their legal system. In Blood, Land, and Sex, Lyda Favali and Roy Pateman examine the roles of the state, ethnic groups, religious groups, and the international community in several key areas of Eritrean law -- blood feud or murder, land tenure, gender relations (marriage, prostitution, rape), and female genital surgery. Favali and Pateman explore the intersections of the various laws and discuss how change can be brought to communities where legal ambiguity prevails, often to the grave harm of women and other powerless individuals. This significant book focuses on how Eritrea and other newly emerging democracies might build pluralist legal systems that will be acceptable to an ethnically and religiously diverse population.

This book investigates issues related to health inequality with a particular interest on developing countries. It provides rigorous empirical work on both trends and causal factors behind health inequality, analyzes the implications of health deprivations on poverty traps and suggests practical policies which can be implemented.

This book presents both theoretical contributions and empirical applications of advanced statistical techniques including geo-additive models that link individual measures with area variables to account for spatial correlation; multilevel models that address the issue of clustering within family and household; multi-process models that account for interdependencies over life-course events and non-random utilization of health services; and flexible parametric alternatives to existing intensity models. These analytical techniques are illustrated mainly through modeling maternal and child health in the African context, using data from demographic and health surveys. In the past, the estimation of levels, trends and differentials in demographic and health outcomes in developing countries was heavily reliant on indirect methods that were devised to suit limited or deficient data. In recent decades, world-wide surveys like the World Fertility Survey and its successor, the Demographic and Health Survey have played an important role in filling the gap in survey data from developing countries. Such modern demographic and health surveys enable investigators to make in-depth analyses that guide policy intervention strategies, and such analyses require the modern and advanced statistical techniques covered in this book. The text is ideally suited for academics, professionals, and decision makers in the social and health sciences, as well as others with an interest in statistical modelling, demographic and health surveys. Scientists and students in applied statistics, epidemiology, medicine, social and behavioural sciences will find it of value.

Includes statistical tables and graphs.