Dieser Aufsatz stellt die entscheidungstheoretischen Grundlagen der Produktion von Gesundheitsleistungen dar und leitet daraus Schlussfolgerungen für die Gesundheitspolitik ab. Die bedeutendste Herausforderung am Beginn des 21. Jahrhunderts liegt darin, die Diffusion neuen medizinischen Wissens...

Background: Economic evaluation (EE) is a dynamically advancing knowledge area of health economics. It has been conceived to provide evidence for allocating scarce resources to gain the best value for money. The problem of efficiency of investments becomes even more crucial with advances in...

Health insurance is once again on the policy agenda, and it is déjà vu all over again. There are the same statistics and anecdotes about the uninsured. There are the same reports by government agencies, think tanks, and do-gooder organizations. There are the same policy entrepreneurs, pushing...

This paper compares the cost and quality incentive effects of cost reimbursement and prospective payment systems in the health industry when providers are altruistic. Providers' behavioral rule is governed by a desire to maximize a weighted sum of profit and consumers' health benefit. When...

In dieser Arbeit sollen die Konsequenzen einer unhinterfragten Konsolidierungspolitik untersucht werden. Dazu wird ein einfaches Modell ,optimaler öffentlicher Verschuldung' konstruiert, das sowohl als Ausgangspunkt für die Erklärung der Konsolidierungsbehühungen dient, als auch mögliche...

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...

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...