Lupu and Pontusson (2011) argue that the structure of income inequality, rather than its level, can explain differences in fiscal redistribution across modern welfare states. Contrary to the assertion that there is robust evidence in support of this proposition, the present paper challenges the...

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 economic impact of Artificial 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,...

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...

Based on required growth rate and actual growth rate, this paper proposes a method to construct measures to indicate the probability of a country escaping the middle income trap (MIT). A second contribution of this paper is to model this probability using 1960–2015 cross-country data, focusing...

Social stratification is determined not only by income, education, race, and gender, but also by an individual’s job characteristics and their position in the industrial structure. Utilizing a dataset of 76.6 million Brazilian workers and methods from network science, we map the Brazilian...