This paper studies the interaction between public and private health care provision in a National Health Service (NHS), with free public care and costly private care. The health authority decides whether or not to allow private provision and sets the public sector remuneration. The physicians...

We develop a dynamic model of hospital competition where (i) waiting times increase if demand exceeds supply; (ii) patients choose a hospital based in part on waiting times; and (iii) hospitals incur waiting time penalties. We show that, whereas policies based on penalties will lead to lower...

This paper studies the impact of hospital competition on waiting times. We use a Salop-type model, with hospitals that differ in (geographical) location and, potentially, waiting time, and two types of patients; high-benefit patients who choose between neighbouring hospitals (competitive...

This paper studies the effects of price regulation and parallel imports in the on-patent pharmaceutical market. In a theory model where the producer price is subject to bargaining between the brand-name producer and a distributor, we show that the effects of stricter price regulation crucially...

Patient mobility is a key issue in the EU who recently passed a new law on patients’ right to EU-wide provider choice. In this paper we use a Hotelling model with two regions that differ in technology to study the impact of patient mobility on health care quality, health care financing and...

Theoretical considerations suggest that nonlinear health care price schedules have heterogeneous effects on health care demand. In this paper, we develop and apply a finite mixture bivariate probit model to analyze whether there are heterogeneous reactions to the introduction of a nonlinear...

The Coordination Reform was introduced in Norway in 2012 including a fee for bed-blocking in hospitals. To study this, we introduce a Stackelberg game where the hospital is the leader and the care institution is the follower. The reform does not necessarily lead to less bed-blocking as this...

Antibiotic resistance constitutes a major health threat. Predicting bacterial causes of infections is key to reducing antibiotic misuse, a leading driver of antibiotic resistance. We train a machine learning algorithm on administrative and microbiological laboratory data from Denmark to predict...