This paper surveys the literature on the relationship between international trade and inclusive growth. It examines …

We analyze the performance of kernel density methods applied to grouped data to estimate poverty (as applied in Sala …-i-Martin, 2006, QJE). Using Monte Carlo simulations and household surveys, we find that the technique gives rise to biases in poverty … estimates, the sign and magnitude of which vary with the bandwidth, the kernel, the number of datapoints, and across poverty …

, inequality, and government spending on poverty reduction. A new panel dataset has been assembled on inequality and poverty that …

This paper provides a brief and selective overview of research on the links between macroeconomic policies and poverty …

different data sources, parametric and nonparametric estimation methods, and multiple poverty lines. Our results indicate that … accounts but are relatively consistent across different estimation methods. The decline in poverty over the past decade is …Current estimates of global poverty vary substantially across studies. In this paper we undertake a novel sensitivity …

decline in earnings, extreme poverty and the Gini coefficient based on labor income increased by around 9.2 and 5 percentage … than offset the labor income losses for the bottom four deciles, however, such that poverty relative to the pre … ended in late 2020. The challenge will be to avoid a sharp increase in poverty and inequality if the labor market does not …