We estimate a unified measure of inclusive growth for emerging markets by integrating their economic growth performance and income distribution outcomes, using data over three decades. Country distributions are calibrated by combining PPP GDP per capita and income distribution from survey data....

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...

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...

Part I Productivity Measurement -- 1. Productivity Measurement – Past, Present and Future -- 2. Symmetric Decompositions of Aggregate Output and Labour Productivity Growth: On Levels, (Non-) Additivity, and Misallocation -- 3. Efficiency Analysis with Stochastic Frontier Models using Popular...

Earlier research on poverty failed to provide us with consistent measures of its prevalence across space and time. This is due to the limitations of the available sources and to the difficulty of applying to them the poverty definitions of modern social science. This article discusses different...