Subjective health expectations are derived using data from the Health and Retirement Study (HRS). We first use a Bayesian updating mechanism to correct for focal point responses and reporting errors of the original health expectations variable. We then test the quality of the health expectations...

Our research clarifies the conceptual linkages among willingness to pay for additional safety, willingness to accept less safety, and the value of statistical life (VSL). We present econometric estimates that in the important case of workers' decisions concerning exposure to fatal injury risk...

Our research clarifies the conceptual linkages among willingness to pay for additional safety, willingness to accept less safety, and the value of a statistical life (VSL). We present econometric estimates using panel data to analyze the VSL levels associated with job changes that may affect the...

We examine the economic and social determinants of suicide mortality in a panel of 25 OECD countries over the period 1970 - 2011 and explicitly analyze the effects of unemployment and labor market institutions on suicide rates. In line with a large body of literature, our results suggest that...

In applied microeconometric panel data analyses, time-constant random effects and first-order Markov chains are the most prevalent structures to account for intertemporal correlations in limited dependent variable models. An example from health economics shows that the addition of a simple...

Baumol's (1967) model of 'unbalanced growth' yields a supply-side explanation for the 'cost explosion' in health care. Applying a testing strategy suggested by Hartwig (2008), a sprawling literature affirms that the 'Baumol effect' has both a statistically and economically significant impact on...

In a recent paper I argued that Baumol's (1967) model of 'unbalanced growth' offers a ready explanation for the observed secular rise in health care expenditure (HCE) in rich countries (HARTWIG 2006). Baumol's model implies that HCE is driven by wage increases in excess of productivity growth. I...

We examine the effect of testing for Coronavirus on deaths in eight countries over the month of March 2020 by estimating a fixed-effect regression model using the Generalized Method of Moments (GMM). On average, the data reject the hypothesis that "testing" for the virus does not affect death....

Understanding the effectiveness of social distancing policies aimed at curbing the spread of COVID-19 and other infectious diseases is a pressing need that a growing number of studies seek to address. Using fine-grained mobility and epidemiological data, we show that widely used methods to...

A wide range of research has been developed in the empirical literature regarding income and price elasticities of health care expenditure (HCE). The results are mixed, as researchers employ different methodologies and data sources. The benefits of the panel data method, such as greater data...