In a 1-year randomized controlled trial involving thousands of university students, we provide real-time private feedback on relative performance in a semester-long online assignment. Within this setup, our experimental design cleanly identifies the behavioral response to rank incentives (i.e.,...

Empirical literature on digital technologies for student learning is generally unable to identify separately whether learning gains arise from reciprocity in response to the gift of a valuable gadget (the 'gadget effect') or from increasing exposure to relevant materials (the 'content effect')....

As algorithms often outperform humans in prediction, algorithm aversion is economically harmful. To enhance algorithm utilization, we suggest emphasizing their learning capabilities, i.e., their increasing predictive precision over time, through the explicit addition of a “learning” label....

This paper models an entrepreneur's choice between investing in a safe activity or experimenting with a new risky one, and how much to invest in the "entrepreneurial capital" that would permit more effective use of the arriving information on the latter- how much to learn how to learn. Optimal...