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Poverty and inequality persist in many regions of the developing world. This may be due mainly to an ineffective targeting of policies to address the root causes of poverty. Sustainable policy interventions are in need of reliable concepts of poverty and of a thorough understanding of the underlying mechanism that lead to such deprivation. The three essays of this book add to the debate concerning appropriate statistical tools in empirical development economics. The work proposes specific methodologies to analyze the extent of poverty and its underlying factors based on recent household surveys. The first chapter deals with a concept of poverty comparisons when panel data is at hand. The second chapter studies the determinants of spatial inequality using multilevel modelling. The third chapter analyzes the relation between a child's nutritional status and its survival probability.

1.3.2 Robust multiperiod poverty comparisons for the two- period case 201.3.3 Robust multiperiod relative poverty comparisons for the two-period case within and across countries 27; 1.3.4 Robust multiperiod poverty comparisons for the n-period case 30; 1.4 Discussion 31; 2 Spatial inequalities explained -- Evidence from Burkina Faso 33; 2.1 Introduction 34; 2.2 Regional Growth and Inequality in Burkina Faso 36; 2.3 Data and Empirical Strategy 40; 2.3.1 Data 40; 2.3.2 Empirical Strategy 44; 2.4 Results: Sources of Spatial Inequality 49; 2.4.1 Model M0: The null model 49.

Poverty and inequality persist in many regions of the developing world. This may be due mainly to an ineffective targeting of policies to address the root causes of poverty. Sustainable policy interventions are in need of reliable concepts of poverty and of a thorough understanding of the underlying mechanism that lead to such deprivation. The three essays of this book add to the debate concerning appropriate statistical tools in empirical development economics. The work proposes specific methodologies to analyze the extent of poverty and its underlying factors based on recent household surveys. The first chapter deals with a concept of poverty comparisons when panel data is at hand. The second chapter studies the determinants of spatial inequality using multilevel modelling. The third chapter analyzes the relation between a child's nutritional status and its survival probability.#«(...) the author offers an innovative micro-economic perspective on the various topics and applies interesting statistical techniques that are new to the analyzed poverty questions. In combination with the objective of "model comprehensiveness" and the very careful interpretations, the presented book provides some interesting insights into dynamic, spatial, and multidimensional poverty, that were not possible without the application of advanced statistical techniques and the recent advances in data collection and computational power.

Comparing DHS data from 235 regions in 29 Sub-Saharan Africa countries, we find that the combination of low levels of malnutrition together with dramatically high rates of mortality, encountered in Kenya's Lake Victoria territory, is unique for Sub-Saharan Africa. This paper explores the causes of this phenomenon in the Kenyan context. Our identification strategy consists of two parts. First of all, we apply multilevel regression models to control simultaneously for family and community clustering of the observed malnutrition and mortality outcomes. Secondly, to address unobserved but correlated factors, we exploit information from GIS and malaria databases to construct variables that capture additional components of children's geographic, political and cultural environment. Our analysis reveals that beneficial agricultural conditions and feeding practices lead to the observed sound anthropometric outcomes around Lake Victoria. In contrast, high mortality rates rest upon an adverse disease environment (malaria prevalence, water pollution, HIV rates) and a policy neglect (underprovision of health care services). Even after controlling for these factors, a significant effect of the local ethnic group, the Luo, on mortality remains.

Exploiting DHS data from 235 regions in 29 Sub-Saharan Africa countries, we find that the combination of low levels of malnutrition together with dramatically high rates of mortality, encountered in Kenya's Lake Victoria territory, is unique for Sub-Saharan Africa. This paper explores the causes of this paradox for the Kenyan context. Our identification strategy consists of two parts. First of all, we apply multilevel regression models to control simultaneously for family and community clustering of the observed malnutrition and mortality outcomes. Secondly, to address unobserved but correlated factors, we exploit information from GIS and malaria databases to construct variables that capture additional components of children's geographic, political and cultural environment. Our analysis reveals that beneficial agricultural conditions and feeding practices lead to the observed sound anthropometric outcomes around Lake Victoria. In contrast, high mortality rates rest upon an adverse disease environment (malaria prevalence, water pollution, HIV rates) and a policy neglect (underprovision of health care services). Nonetheless, a significant effect of the local ethnic group, the Luo, on mortality remains.

Exploiting DHS data from 235 regions in 29 Sub-Saharan Africa countries, we find that the combination of low levels of malnutrition together with dramatically high rates of mortality, encountered in Kenya's Lake Victoria territory, is unique for Sub-Saharan Africa. This paper explores the causes of this paradox for the Kenyan context. Our identification strategy consists of two parts. First of all, we apply multilevel regression models to control simultaneously for family and community clustering of the observed malnutrition and mortality outcomes. Secondly, to address unobserved but correlated factors, we exploit information from GIS and malaria databases to construct variables that capture additional components of children's geographic, political and cultural environment. Our analysis reveals that beneficial agricultural conditions and feeding practices lead to the observed sound anthropometric outcomes around Lake Victoria. In contrast, high mortality rates rest upon an adverse disease environment (malaria prevalence, water pollution, HIV rates) and a policy neglect (underprovision of health care services). Nonetheless, a significant effect of the local ethnic group, the Luo, on mortality remains.