We thank three anonymous referees for thoughtful comments and suggestions which we found very constructive and helpful. We are particularly grateful to the editor, Al Klevorick, for his advice and painstaking guidance through the multiple revision process. We thank Robert Barsky, Susanto Basu,...

There exists significant hype regarding how much machine learning and incorporating social media data can improve forecast accuracy in commercial applications. To assess if the hype is warranted, we use data from the film industry in simulation experiments that contrast econometric approaches...

Artificial intelligence is at the heart of current debates related to ethical, social and political issues of technological innovation. This briefing refocuses attention from the technoethical challenges of AI to artificial decision-making (ADM) and the questions related to delegating human...

This paper studies how gifts - monetary or in-kind payments - from drug firms to physicians in the US affect prescriptions and drug costs. We estimate heterogeneous treatment effects by combining physician-level data on antidiabetic prescriptions and payments with causal inference and machine...