We develop a model of the efficiency of medical testing based on the frequency of negative CT scans for pulmonary embolism. The model is estimated using a 20% sample of Medicare claims from 2000-2009. We document enormous heterogeneity in testing conditional on patient population. Less...

Local opinion leaders may play a key role in easing information frictions associated with technology adoption. This paper analyzes the influence of physician investigators who lead pivotal clinical trials for new cancer drugs. By comparing diffusion patterns across many drugs, we separate...

Information technology has been linked to productivity growth in a wide variety of sectors, and health information technology (HIT) is a leading example of an innovation with the potential to transform industry-wide productivity. This paper analyzes the impact of health information technology...

Growing interest in the measurement of subjective well-being (SWB) has also been accompanied by scientific debate on the optimal method for measuring SWB. The momentary perspective, which is represented by the ecological momentary assessment (EMA) and day reconstruction method (DRM), emphasizes...

A Gaussian copula regression model gives a tractable way of handling a multivariate regression when some of the marginal distributions are non-Gaussian. Our paper presents a general Bayesian approach for estimating a Gaussian copula model that can handle any combination of discrete and...

We develop a Bayesian approach for parsimoniously estimating the correlation structure of the errors in a multivariate stochastic volatility model. Since the number of parameters in the joint correlation matrix of the return and volatility errors is potentially very large, we impose a prior that...