Abstract
This paper performs a multidimensional first order dominance analysis of child wellbeing in the Democratic Republic of Congo (DRC). This methodology allows the ordinal ranking of the 11 provinces of the DRC in terms of their wellbeing based upon the probability of their domination. This empirical application obviates the need to adopt a weighting scheme for the deprivation indicators or to rely on the signs of other cross-derivatives for comparison. We execute a bootstrap linear programming algorithm on seven deprivation indicators for three age groups of children derived from the DRC 2007 Standard Demographic and Health Survey. The results reveal widespread disparities in child wellbeing in the DRC.
Highlights
Questions on who are the poor and how to measure wellbeing have retained the attention of academics and policy makers since the early days of development economics
The paper’s goal is to empirically analyse child wellbeing in the Democratic Republic of Congo (DRC) using the multidimensional first order dominance (FOD) criterion
The FOD criterion is based on the distributional dominance concept, which is well established in the theoretical literature of stochastic dominance
Summary
Questions on who are the poor and how to measure wellbeing have retained the attention of academics and policy makers since the early days of development economics. The robust comparison approach evaluates social welfare functions by comparing welfare achievement among populations without the need of making assumptions on the weight of each deprivation indicator used It relies on the signs of the second or higher order crossderivatives. An increase of income of a poor person would decrease the poverty measure if the poor person is sufficiently deprived in a specific dimension The authors test their approach on two dimensions (1) per capita household expenditure and (2) nutritional status proxy by child z-scores using the 1993 Vietnam Living Standard Survey.. They rely on either a weighting scheme or the signs of the second or higher order cross-derivatives for measuring poverty or identifying the poor None of these measures can efficiently rank and determine the welfare achievement of a population. Democratic Republic of Congo (DRC): presentation, welfare indicators, and descriptive statistics
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