In "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," Acemoglu and Restrepo (2018b) combine the task-based model of the labor market with an endogenous growth model to model the economic consequences of artificial intelligence (AI). This...

The conventional wisdom that Africa is not reducing poverty is wrong. Using the methodology of Pinkovskiy and Sala-i-Martin (2009), we estimate income distributions, poverty rates, and inequality and welfare indices for African countries for the period 1970-2006. We show that: (1) African...

The dismal growth performance of Africa is the worst economic tragedy of the XXth century. We document the evolution of per capita GDP for the continent as a whole and for subset of countries south of the Sahara desert. We document the worsening of various income inequality indexes and we...

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...

The economic impact of Articial Intelligence (AI) is studied using a (semi) endogenous growth model with two novel features. First, the task approach from labor economics is reformulated and integrated into a growth model. Second, the standard representative household assumption is rejected, so...

Because of their more limited inequality and more comprehensive social welfare systems, many perceive average welfare to be higher in Scandinavian societies than in the United States. Why then does the United States not adopt Scandinavian-style institutions? More generally, in an interdependent...