We examine vulnerability to poverty in Tajikistan during the global financial crisis, focusing on the roles played by international migration and remittances, using a formal, practical, and easily decomposable vulnerability measure. Our strategy is to estimate a Markov transition probability...

Incomes in surveys suffer from various measurement problems, most notably in the tails of their distributions. We study the prevalence of negative and zero incomes, and their implications for inequality and poverty measurement relying on 57 harmonized surveys covering 12 countries over the...

OLS models are the predominant choice for poverty predictions in a variety of contexts such as proxy-means tests, poverty mapping or cross-survey imputations. This paper compares the performance of econometric and machine learning models in predicting poverty using alternative objective...

The at-risk-of-poverty rate, the relative income poverty indicator applied in the EU, can be highly sensitive to the equivalence scale used to transform household income to an equivalent for individuals. This study applies two well-established approaches to estimate the equivalence scale: an...

This paper utilizes two measures of subjective well-being to test a hypothesis that a marginal increase in subjective well-being associated with a marginal increase in income is larger for poorer than for richer populations. This hypothesis is examined in the setting of Slovak Roma, who are poor...

The paper discusses the main issues related to negative and zero incomes that are relevant for the measurement of poverty. It shows the prevalence of non-positive incomes in high- and middle-income countries, provides an analysis of the sources and structure of these incomes, outlines the...

The key challenge in making distributional comparisons with ordinal data is the lack of commensurability of the distances between the ordered categories. This chapter provides a critical review of the most recent theoretical developments addressing this challenge and providing methods for...

Ghana has managed to consistently keep its poverty rate lower than the regional average over the past 25 years, but this positive trend slowed down recently. We investigate the dynamics of overall, moderate, and extreme poverty in Ghana during 2005/06-2016/17, addressing the lack of actual panel...

Poverty prediction models are used by economists to address missing data issues in a variety of contexts such as poverty profiling, targeting with proxy-means tests, cross-survey imputations such as poverty mapping, or vulnerability analyses. Based on the models used by this literature, this...

Panel data are rarely available for developing countries. Departing from traditional pseudo-panel methods that require multiple rounds of cross-sectional data to study poverty mobility at the cohort level, we develop a procedure that works with as few as two survey rounds and produces point...