Research studies have shown that recommender systems' predictions that are observed by users can cause biases in users' post-consumption preference ratings. Because users' preference ratings are typically fed back to the system as training data for future predictions, this process is likely to...

We study the impacts of telehealth adoption on geographic competition among urban and rural healthcare providers, and associated quality of care implications. To causally identify these effects, we consider a quasi-natural experiment: states' entry into the Telemedicine Licensure Compact,...