The allocation of decision authority by a principal to either a human agent or an artificial intelligence (AI) is examined. The principal trades off an AI's more aligned choice with the need to motivate the human agent to expend effort in learning choice payoffs. When agent effort is desired, it...

We introduce, validate, and provide a public database of a new measure of the knowledge inventors draw on: scientific references in patent specifications. These references are common and algorithmically extractable. Critically, they are very different from the "front page" prior art commonly...

We examine competition amongst ridesharing platforms where firms compete by choosing both the price of rides and the extent of idleness. Idleness means drivers who are compensated without picking up passengers, instead acting to reduce passenger wait time. We show that when consumers are the...

This is an invited chapter for the forthcoming Volume 4 of the Handbook of Industrial Organization. We summarize the state of the literature on the economics of innovation and highlight open policy questions. We first articulate the key market failures in markets for innovation, and then discuss...

Would workers apply to better firms if they were more informed about firm quality? Collaborating with 26 science-based startups, we create a custom job board and invite business school alumni to apply. The job board randomizes across applicants to show coarse expert ratings of all startups'...