The Impact of HIV on Children´s Welfare

Children living in HIV/AIDS affected households bear the heaviest burden of the epidemic. Besides direct vertical transmission, HIV/ AIDS potentially worsens the children’s welfare indirectly through its socio-economic impact. This paper uses household survey data including information about individual HIV infection status to analyze the direct and indirect effects of HIV-infected household members on child mortality, undernutrition and educational attainment for Burkina Faso, Cameroon, Ghana and Kenya. The results indicate that the main channel through which HIV effects the child mortality risk is mother to child transmission. Whereas no effect of HIV is found on child mortality and undernutrition, a negative effect for school enrollment is found for Burkina Faso and Cameroon.Child Mortality, HIV/AIDS, Undernutrition, Education, Sub-Saharan Africa

A Multilevel Approach to Explain Child Mortality and Undernutrition in South Asia and Sub-Saharan Africa

While undernutrition among children is very pervasive both in Sub- Saharan Africa and South Asia, child mortality is rather low in South Asia. In contrast to that Sub-Saharan African countries suffer by far the worst from high rates of child mortality. This different pattern of child mortality and undernutrition in both regions is well known, but approaches using aggregated macro data have not been able to explain it appropriately. In this paper we analyze the determinants of child mortality as well as child undernutrition based on DHS data sets for a sample of six developing countries in South Asia and Sub-Saharan Africa. We investigate the effects of individual, household and cluster socioeconomic characteristics using a multilevel model approach and examine their respective influences on both phenomena. We find that the determinants of child mortality and undernutrition differ significantly from each other. Access to health infrastructure is more important for child mortality, whereas the individual characteristics like wealth and educational and nutritional characteristics of mothers play a larger role for anthropometric shortfalls. Although very similar patterns in the determinants of each phenomenon are discernable, there are large differences in the magnitude of the coefficients. Besides regressions using a combined data set of all six countries show, that there are still significant differences between the two regions although taking account of a large set of covariates.Child mortality,child undernutrition,multilevel modelling

Empirical Analysis of Determinants, Distribution and Dynamics of Poverty

Poverty and inequality persist in many dimensions in the developing world. In order to understand the determinants of poverty and its distribution between and within countries, it is necessary to know its dimensions and the channels through which poverty and inequality affect human well-being. This book analyzes the spatial disparities of the outcomes and determinants of poverty, the interdependencies of dimensions of poverty, the distribution of progress in human development over the population and the dynamics of poverty risk over time. The study takes into account the global spread of poverty. Based on cross-country comparisons of countries from Africa, Latin America, and South Asia, this study does not only consider on average outcomes and determinants of different indicators of human well-being, but also examines their distribution between and within countries

A Human Development Index by Internal Migration Status

Migration continues to be a very important income diversification strategy, especially for poor populations in developing countries. However, while there has been much analysis on the economic consequences of migration for migrants and the receiving regions, whether internal migration improves or deteriorates human development is not easy to determine. This papers applies a recently development analytical framework that allows to calculate the HDI for subgroups of a population. We use this approach to calculate the HDI by internal migrational status to assess the differences between the levels of human development of internal migrants compared to non-migrants, and also across countries as well as by urban and rural areas. An empirical illustration for a sample of 16 low and middle income countries shows that, overall, internal migrants slightly achieve a higher level of human development than non-migrants. The results also show that differences in income between migrants and non-migrants are generally higher than differences in education and life-expectancy. Disaggregating the analysis by urban and rural areas reveals that urban internal migrants are better o® than urban non-migrants and rural migrants are better off than rural non-migrants.Human Development, Migration Income Inequality, Differential Mortality, Inequality in Education

Deadly Cities? A Note on Spatial Inequalities in Mortality in Sub-Saharan Africa

In this paper we analyze if an 'urban mortality penalty' exists for today's developing countries, repeating the history of industrialized nations during the 19th century. We analyze the Demographic and Health Survey (DHS) of 19 Sub-Saharan African countries for differences in child and adult mortality between rural and urban areas. Our findings indicate that child mortality is higher in rural areas for almost all countries. On average child mortality rates are 13.6 percent in rural areas and 'only' 10.8 percent in urban areas. In contrast, average urban adult mortality rates (on average 14.5 percent) have indeed exceeded rural adult mortality rates (on average 12.8 percent) in many of our sample countries in the 2000s. For many countries high child mortality pockets do, however, exist in slum areas within cities. Child mortality rates in slum areas are on average 1.65 times higher than in the formal settlements of cities, but still lower than in rural areas. --mortality,urban,slum,inequality

Households' Vulnerability to Covariate and Idiosyncratic Shocks

Households in developing countries are frequently hit by severe idiosyncratic and covariate shocks resulting in high consumption volatility. A household's currently observed poverty status might therefore not be a good indicator of the household's general poverty risk, or in other words its vulnerability to poverty. Although several measurements to analyze vulnerability to poverty have recently been proposed, empirical studies are still rare as the data requirements for these measurements are not met by the surveys that are available for most developing countries. In this paper, we propose a simple method to empirically assess the impact of idiosyncratic and covariate shocks on households' vulnerability, which can be used in a wide context as it relies on commonly available living standard measurement surveys. We apply our approach to data from Madagascar and show, that whereas covariate shocks have a substantial impact on rural households' vulnerability, urban households' vulnerability is largely determined by idiosyncratic shocks.Vulnerability to poverty,idiosyncratic and covariate shocks,multilevel modelling

A Multilevel Approach to Explain Child Mortality and Undernutrition in South Asia and Sub-Saharan Africa

While undernutrition among children is very pervasive both in Sub- Saharan Africa and South Asia, child mortality is rather low in South Asia. In contrast to that Sub-Saharan African countries suer by far the worst from high rates of child mortality. This dierent pattern of child mortality and undernutrition in both regions is well known, but approaches using aggregated macro data have not been able to explain it appropriately. In this paper we analyze the determinants of child mortality as well as child undernutrition based on DHS data sets for a sample of ve developing countries in South Asia and Sub-Saharan Africa. We investigate the eects of individual, household and cluster socioeconomic characteristics using a multilevel model approach and examine their respective inuences on both phenomena. We nd that the determinants of child mortality and undernutrition dier signi cantly from each other. Access to health infrastructure is more important for child mortality, whereas the individual characteristics like wealth and educational and nutritional characteristics of mothers play a larger role for anthropometric shortfalls. Although very similar patterns in the determinants of each phenomenon are discernable between countries, there are large dierences in the magnitude of the coecients. Besides regressions using a combined data set of all six countries show, that there are still signicant dierences between the two regions although taking account of a large set of covariates.Child mortality, child undernutrition, multilevel modelling

Estimating Vulnerability to Covariate and Idiosyncratic Shocks

Households in developing countries are frequently hit by severe idiosyncratic and covariate shocks resulting in high consumption volatility. A household’s currently observed poverty status might therefore not be a good indicator of the household’s general poverty risk, or in other words its vulnerability to poverty. Although several measurements to analyze vulnerability to poverty have recently been proposed, empirical studies are still rare as the data requirements for these measurements are often not met by the surveys that are available for developing countries. In this paper, we propose a simple method to empirically assess the impact of idiosyncratic and covariate shocks on households’ vulnerability, which can be used in a wide context as it relies on commonly available living standard measurement surveys. We apply our approach to data from Madagascar and show, that whereas covariate and idiosyncratic shocks have both a substantial impact on rural households’ vulnerability, urban households’ vulnerability is largely determined by idiosyncratic shocks.Vulnerability, idiosyncratic and covariate shocks, multilevel modelling

A Household-Based Human Development Index

One of the most serious weaknesses of the human development index (HDI) is that it considers only average achievements and does not take into account the distribution of human development within a country or by population subgroups. All previous attempts to capture inequality in the HDI have also used aggregate information and there exists no HDI at the household level. This paper provides a method and illustration for calculating the HDI at the household level. This immediately allows the analysis of the HDI by any kind of population subgroups and by household socioeconomic characteristics. Furthermore, it allows to apply any kind of inequality measure to the HDI across population subgroups and over time. We illustrate our approach for 15 developing countries. Inequality in the HDI is largest in poorer countries, particularly in Sub-Saharan Africa. We also Þnd large inequalities within countries between population subgroups, particularly by income, location, and education of the household head. We also Þnd considerable inequality when looking at inequality measures like the Theil or the Gini coefficient; within-group inequality is, however, invariably larger than between-group inequality and inequality in the HDI within countries is of similar order of magnitude of inequality in the HDI between countries.human development index, income inequality, di_erential mortality, inequality in education.

A household-based Human Development Index

One of the most serious weaknesses of the human development index (HDI) is that it considers only average achievements and does not take into account the distribution of human development within a country or by population subgroups. All previous attempts to capture inequality in the HDI have also used aggregate information and there exists no HDI at the household level. This paper provides a method and illustration for calculating the HDI at the household level. This immediately allows the analysis of the HDI by any kind of population subgroups and by household socioeconomic characteristics. Furthermore, it allows to apply any kind of inequality measure to the HDI across population subgroups and over time. We illustrate our approach for 15 developing countries. Inequality in the HDI is largest in poorer countries, particularly in Sub-Saharan Africa. We also find large inequalities within countries between population subgroups, particularly by income, location, and education of the household head. We also find considerable inequality when looking at inequality measures like the Theil or the Gini coefficient; within-group inequality is, however, invariably larger than between-group inequality and inequality in the HDI within countries is of similar order of magnitude of inequality in the HDI between countries. --Human Development Index,Income Inequality,Differential Mortality,Inequality in Education