Cost-effectiveness analysis (CEA), despite its known limitations, continues as the primary method used for health technology assessment (HTA) both officially (UK, Australia and Canada) and less formally elsewhere. Standard CEA models compare incremental cost increases to incremental average...

Cost-effectiveness analysis (CEA) remains the de-facto method of choice to evaluate and compare medical interventions. Standard approaches to CEA use the average (mean) outcomes from clinical effectiveness studies such as randomized controlled trials. This paper generalizes standard methods to...

Technological advance has been a primary driver of healthcare expenditures in the twentieth century and continues to be so. This paper models the electoral politics of government support for R&D. A forward-looking median voter has to take account of a wide variety of interdependencies even in a...

Does medical technology originating in countries close to the technology frontier have a significant impact on health outcomes in countries distant from this frontier? This paper considers a framework where lagging countries may benefit from medical technology (a result of research and...

Despite the claim that technology has been one of the most important drivers of healthcare spending growth over the past decades, technology variables are rarely introduced explicitly in cost equations. Furthermore, technology is often considered exogenous. Using 1996-2007 panel data on Swiss...

Variation in technology adoption is a key driver of differences in productivity. Previous studies sought to explain variations in technology adoption by heterogeneity in profitability, costs of adoption, or other factors. Less is known about how adoption is affected by bias in the perceived...