We investigate the impact of product market competition on firms’ automation investments. We use a rich combination of micro-data on Portuguese exporters and exploit a novel source of variation in the degree of competition they face – a tariff liberalization between the European Union and...

Computing power continues to grow at an enormous rate. Simultaneously, more and better data is increasingly available and Machine Learning methods have seen significant breakthroughs in the recent past. All this pushes further the boundary of what machines can do. Nowadays increasingly complex...

We build a life-cycle model in which a representative firm produces a final good using routine and non-routine labor as well as traditional and automation capital (e.g. robots). Robots can substitute for routine labor. We show that both, population aging and higher robot productivity, foster the...

Are people algorithm averse, as some previous literature indicates? If so, can the retention of human oversight increase the uptake of algorithmic recommendations, and does keeping a human in the loop improve accuracy? Answers to these questions are of utmost importance given the fast-growing...

We develop an assignment model of automation. Each of a continuum of tasks of variable complexity is assigned to either capital or one of a continuum of labor skills. We characterize conditions for interior automation, whereby tasks of intermediate complexity are assigned to capital. Interior...