This paper deals with the question how to model health effects after the cessation of a randomised controlled trial (RCT). Using clinical trial data on severe congestive heart failure patients we illustrate how survival beyond the cessation of a RCT can be predicted based on parametric survival...

A reformulation of health economics is proposed that explicitly involves institutions. Decisions regarding health are taken under uncertainty, in the face of which institutions work and allow dealing with it. Taking institutions seriously allows moving forward from the economics of medical care...

Direct-to-consumer advertising of pharmaceuticals has led to questions of whether consumers benefit from the additional drug information, or are harmed by being induced to pursue prescriptions that are unnecessary or even dangerous. We conducted an empirical study of the relation between...

Despite its laudable intent, the National Vaccine Injury Compensation Program (VICP) is broken. The VICP is designed to compensate those injured or killed by vaccines. The problem is that the current practice in the VICP allows private attorneys to withdraw from a case before any decision is...

We study how firms target and influence expert intermediaries. In our empirical context, pharmaceutical manufacturers provide payments to physicians during promo- tional interactions. We develop an identification strategy based on plausibly exogenous variation in payments driven by differential...

UK Local Authorities purchase care home places on behalf of a large group of people following an assessment of their ability to meet the care home fee from their income and wealth. All other buyers of care home services are atomistic and the care home market is characterised by a large number of...

Location-specific norms of behavior are a widespread phenomenon. In the case of medical practice, numerous studies have found that geographic location exerts a strong influence on the choice of treatments and procedures. This paper shows how the presence of social influence on treatment...

We apply machine-learning techniques to predict drug approvals using drug-development and clinical-trial data from 2003 to 2015 involving several thousand drug-indication pairs with over 140 features across 15 disease groups. To deal with missing data, we use imputation methods that allow us to...

Confronted with the unavoidable question of finding survival strategies in an intensely competitive market for hospital services which is characterised by a decreasing number of beds and the danger of closures, many hospitals have since implemented marketing and advertising plans. While the...

Health-insurance premiums account for a significant portion of the cost base of U.S. corporations. A recent study finds that health-insurance premiums increase for firms that experience positive profit shocks (Dafny 2010), suggesting that the U.S. health-insurance market is not perfectly...