In a laboratory experiment designed to capture key aspects of the interaction between physicians and patients, we study the effects of medical insurance and competition in the guise of free choice of physician, including observability of physicians' market shares. Medical treatment is an example...

In a laboratory experiment designed to capture key aspects of the interaction between physicians and patients in a stylized way, we study the effects of medical insurance and competition in the guise of free choice of physician. Medical treatment is an example of a credence good: only the...

Unfavorable news are often delivered under the disguise of vagueness. Our theory-driven laboratory experiment investigates this strategic use of vagueness in voluntary disclosure and asks whether there is scope for policy to improve information transmission. We find that vagueness is profitably...

We show that review platforms reduce healthcare interruptions for patients looking for a new physician. We employ a difference-in-differences strategy using physician retirements as a “disruptive shock” that forces patients to find a new physician. We combine insurance claims data with...

The decision to contact a physician and the decision, how often to contact a physician, are based on different decision makers. We introduce a negative binominal distributed hurdle model that specifies the two stages of the decision process as different stochastic processes, and takes also care...

In the fight against antibiotic resistance, reducing antibiotic consumption while preserving healthcare quality presents a critical health policy challenge. We investigate the role of practice styles in patients' antibiotic intake using exogenous variation in patient-physician assignment....

Inefficient human decisions are driven by biases and limited information. Health care is one leading example where machine learning is hoped to deliver efficiency gains. Antibiotic resistance constitutes a major challenge to health care systems due to human antibiotic overuse. We investigate how...