We conduct a unique, Amazon MTurk-based global experiment to investigate the importance of an exponential-growth prediction bias (EGPB) in understanding why the COVID-19 outbreak has exploded. The scientific basis for our inquiry is the received wisdom that infectious disease spread, especially...

Time-inconsistent, present-biased agents may hold commitment assets hoping to keep their current and future present bias in check. Paternalistic governments, in an effort to help such people, routinely offer commitment machinery such as restrictions (or bans) on early withdrawals from...

We study possible worker-to-employer discrimination manifested via social preferences in an online labor market. Specifically, we ask, do workers exhibit positive social preferences for an out-race employer relative to an otherwise-identical, own-race one? We run a well-powered, model-based...