We estimate the world distribution of income by integrating individual income distributions for 125 countries between 1970 and 1998. We estimate poverty rates and headcounts by integrating the density function below the $1/day and $2/day poverty lines. We find that poverty rates decline...

We use aggregate GDP data and within-country income shares for the period 1970-1998 to assign a level of income to each person in the world. We then estimate the gaussian kernel density function for the worldwide distribution of income. We compute world poverty rates by integrating the density...

We estimate the world distribution of income by integrating individual income distributions for 125 countries between 1970 and 1998. We estimate poverty rates and headcounts by integrating the density function below the $1/day and $2/day poverty lines. We find that poverty rates decline...

We use aggregate GDP data and within-country income shares for the period 1970-1998 to assign a level of income to each person in the world. We then estimate the gaussian kernel density function for the worldwide distribution of income. We compute world poverty rates by integrating the density...