In this paper, I present an empirical model of learning under ambiguity in the context of clinical trials. Patients are concern with learning the treatment effect of the experimental drug, but face the ambiguity of random group assignment. A two dimensional Bayesian model of learning is proposed...

We use instrumental variable methods to investigate whether the impact of parental smoking habits on their children's smoking decisions is a causal one. We find evidence of same-sex role models in two-parent households: mothers play a crucial role in determining their daughters' smoking...

We investigate the evolution of health inequality over the life-course. Health is modeled as a latent variable that is determined by three factors: endowments, and permanent and transitory shocks. We employ Simulated Minimum Distance and the Panel Study of Income Dynamics to estimate the model....

For many years the NHS has been subject to allegations that gender and racial discrimination are a feature of the internal labour market for qualified nurses. This paper examines this issue with regard to the promotion process using 1994 survey data. We start by rejecting the assumption of...

Major events in the life of an elderly individual, such as retirement, a significant decrease in income, death of the spouse, disability, and a move to a nursing home, may affect the mental health status of the individual. For example, the individual may enter a prolonged depression. We...

We use instrumental variable methods to investigate whether the impact of parental smoking habits on their children's smoking decisions is a causal one. We find evidence of same-sex role models in two-parent households: mothers play a crucial role in determining their daughters' smoking...

We investigate the evolution of health inequality over the life-course. Health is modeled as a latent variable that is determined by three factors: endowments, and permanent and transitory shocks. We employ Simulated Minimum Distance and the Panel Study of Income Dynamics to estimate the model....

This paper assesses the quantitative impact of government interventions on deaths related to the COVID-19 outbreak. Using daily data for 32 countries and relying on the stringency of the conducted policies, we find that the greater the strength of government interventions at an early stage, the...

Using a logistic model of cumulative cases and deaths it would soon become possible to give estimates to the final numbers of cases and deaths that are likely on account of COVID19, for countries which have gone through about 60+ days since the first cases were recorded. Such estimates assume...