The paper evaluates the German health care reform of 1997, using the individual number of doctor visits as outcome measure. A new econometric model, the Probit-Poisson-log-normal model with correlated errors, describes the data better than existing count data models. Moreover, it has an...

We build a unique dataset by linking high-quality administrative data sources and model the mobility choices of tenured English National Health Service (NHS) hospital doctors across hospital organizations according to a random utility choice framework based on hospital quality,...

The paper evaluates the German health care reform of 1997, using the individual number of doctor visits as outcome measure. A new econometric model, the Probit-Poisson-log-normal model with correlated errors, describes the data better than existing count data models. Moreover, it has an...

Using SOEP panel data and difference-in-differences methods, this study is the first to empirically evaluate the effectiveness of four different health care cost containment measures within an integrated framework. The four measures investigated were introduced in Germany in 1997 to reduce moral...

The 340B Drug Pricing Program was instituted to bolster the health care safety net without relying on taxpayer money. It allows participating health care facilities – most of which are hospitals – to purchase drugs filled at in-house or contracted external pharmacies at discounts from...

This paper provides field evidence on (a) how price framing affects consumers' decision to switch health insurance plans and (b) how the price elasticity of demand for health insurance can be influenced by policymakers through simple regulatory efforts. In 2009, in order to foster competition...

We provide a framework to disentangle preferences and beliefs in health behavior and apply it to lockdown compliance in the UK. We estimate a model of compliance choice with uncertain costs and benefits to quantify utility tradeoffs, decompose group differences in compliance, and compute...

This paper examines the impact of a reduction in the legal drinking age in New Zealand from 20 to 18 on alcohol use, and alcohol-related hospitalisations and vehicular accidents among teenagers. We use both a difference-in-differences approach and a regression discontinuity design (RDD) to...

The maximum likelihood estimator for the regression coefficients, β, in a panel binary response model with fixed effects can be severely biased if N is large and T is small, a consequence of the incidental parameters problem. This has led to the development of conditional maximum likelihood...

This paper examines the impact of a reduction in the legal drinking age in New Zealand from 20 to 18 on alcohol use, and alcohol-related hospitalisations and vehicular accidents among teenagers. We use both a difference-in-differences approach and a regression discontinuity design (RDD) to...