from community members, and an algorithmic approach using machine learning to predict poverty using mobile phone usage …

In response to the COVID-19 pandemic two new timely poverty measures have been developed to monitor fast …-changing economic conditions for the most deprived. The Han et al. near real-time poverty measure uses responses to a global income … poverty measure, widely cited in the media, uses data from the Annual Social and Economic Supplement to the CPS and other …

poverty with respect to changes in the mean of the distribution of income, thus analytically linking the poverty measures to … key macroeconomic aggregates. Numerous insights are found in Kakwani's elasticities. However, the literature on poverty … and growth since then has revealed that the impacts of economic growth on poverty, as observed in practice, can be …

crises' impact on real per capita GDP, infant mortality, life expectancy, poverty headcounts, and calorie supply per capita … percent below that of non-defaulting peers after a decade. Based on the trajectory of the health, nutrition, and poverty …

compute world poverty rates by integrating the density function below the poverty lines. The $1/day poverty rate has fallen …

, including AK models, poverty trap models, and the concept of convergence conditional on determinants of steady-state income. We …

Understanding the forces that lead to correlations between pollution exposure, poverty, and race is crucial to the …