This paper presents a computable general equilibrium model of endogenous (stochastic) growth and cycles that can account for two key features of the aggregate data: balanced growth in the long-run and business cycles in the short-run. The model is built on Schumpeter's idea that economic...

This paper studies a model of the distribution of income under bounded needs. Utility derived from any given good reaches a bliss point at a finite consumption level of that good. On the other hand, introducing new varieties always increases utility. It is assumed that each variety is owned by a...

This paper studies a model of the distribution of income under bounded needs. Utility derived from any given good reaches a bliss point at a finite consumption level of that good. On the other hand, introducing new varieties always increases utility. It is assumed that each variety is owned by a...

This paper studies a model of the distribution of income under bounded needs. Utility derived from any given good reaches a bliss point at a finite consumption level of that good. On the other hand, introducing new varieties always increases utility. It is assumed that each variety is owned by a...

This paper studies a model of the distribution of income under bounded needs. Utility derived from any given good reaches a bliss point at a finite consumption level of that good. On the other hand, introducing new varieties always increases utility. It is assumed that each variety is owned by a...

Rapid technological progress in artificial intelligence (AI) has been predicted to lead to mass unemployment, rising inequality, and higher productivity growth through automation. In this paper we critically re-assess these predictions by (i) surveying the recent literature and (ii)...

After a number of AI-winters, AI is back with a boom. There are concerns that it will disrupt society. The immediate concern is whether labor can win a 'race against the robots' and the longer-term concern is whether an artificial general intelligence (super-intelligence) can be controlled. This...

As the pace of digitalization and automation accelerates globally, and more disruptive innovations in machine learning, artificial intelligence and robotics are expected, new data sources and measurement tools are needed to complement existing valuable statistics and administrative data. This is...

Rapid technological progress in artificial intelligence (AI) has been predicted to lead to mass unemployment, rising inequality, and higher productivity growth through automation. In this paper we critically re-assess these predictions by (i) surveying the recent literature and (ii)...

As the pace of digitalization and automation accelerates globally, and more disruptive innovations in machine learning, artificial intelligence and robotics are expected, new data sources and measurement tools are needed to complement existing valuable statistics and administrative data. This is...