Matching Household Surveys with Demographic and Health Surveys (DHS) Data to Create Nationally Representative Time Series of Poverty -- Estimating the Stability of Poverty Analysis: Out-of-Sample Predictions in Dynamic Poverty Mapping -- Measuring Pro-Poor Growth in Non-Income Dimensions -- Pro-Poor Growth in Multidimensional Poverty Indicators.
Summary
Reducing poverty and increasing wellbeing in developing countries have become central aims of both the national policy-makers as well as the international community. With the Millennium Development Declaration of 2000, the international community has agreed to focus on poverty reduction and the reduction of deprivation in its many dimensions. This book investigates conceptual and empirical issues on the measurement of trends in wellbeing, poverty, and inequality, illustrated for Bolivia and Colombia. The book contributes significantly to filling data gaps by combining existing data in a new way. Furthermore, it presents an important step forward to focus more on multidimensional outcomes of wellbeing rather than on monetary inputs and to develop tools to monitor the progress in achieving the Millennium Development Goals (MDGs).
Biography
Melanie Grosse holds a PhD degree in Economics of the University of Göttingen. Furthermore, she holds a Diploma from the University of Göttingen and a Certificate of the Advanced Studies Program in International Economic Policy Research of the Kiel Institute for World Economics. Her research focuses on poverty, inequality, and development in Latin American countries.
