In this paper we develop a multidimensional poverty measure that attempts to capture absolute poverty in the … the resource space. To generate a relative measure, this measure adapts the poverty cut-off in resource-related indicators … in a multidimensional poverty measure to prevailing standards in a region. As illustration, this poverty measure utilizes …

Martin Ravallion ("Why Don't We See Poverty Convergence?" American Economic Review, 102(1): 504-23; 2012) presents … evidence against the existence of proportionate convergence in global poverty rates despite convergence in household mean … income levels and the link between income growth and poverty reduction. We show that heterogeneity in this link affects the …

Most existing empirical papers concerned about multidimensional poverty use the house- hold as the unit of analysis …, meaning that multidimensional poverty status of the household is equated with the multidimensional poverty status of all … individual-based multidimensional poverty mea- sure in order to estimate the three Is of multidimensional poverty (incidence …

", and targets 1.2 and 10.1 of the SDGs, we stress that the mainstream approach to multidimensional poverty measurement in … developing countries faces some deficiencies to properly monitor progress in multidimensional poverty reduction, mainly because … insensitive to inequality among the multi-dimensionally poor individuals, a serious defect of any poverty measure. Consequently …

In this paper, we propose to use the so-called Sen-Shorrocks poverty index (Shorrocks, 1995) to measure …, the most common case in the literature, and introduce a rank-dependent multidimensional poverty index for multiple binary … important for poverty analysis. An empirical illustration based on deprivation data from four Central American countries …

This paper evaluates the ex-post impact of adopting improved groundnut varieties on crop income and rural poverty in … estimated the average adoption premium using propensity score matching (PSM), poverty dominance analysis tests, and a linear … regression model to check robustness of results. Poverty dominance analysis tests and linear regression estimates are based on …

than previously thought, while chronic poverty remains substantial and transitory poverty is still very limited in South …

Poverty in low-income countries is usually measured with large and infrequent household surveys. A challenge is to find … methods to measure poverty more frequently. The objective of this study is to test a method for predicting poverty, based upon … a statistical model utilizing consumption surveys and light annual surveys. A decade of poverty predictions and regular …

Previous studies of poverty in developing countries have to a great extent focused on the characteristics of the … rounds of panel data to investigate the persistence of poverty in urban Ethiopia with a particular focus on the role of intra … market status of non-head household members are important determinants of households' poverty status. Results also show that …