There are two broad classes of models used to address the econometric problems caused by skewness in data commonly encountered in health care applications: (1) transformation to deal with skewness (e.g., OLS on ln(y)); and (2) alternative weighting approaches based on exponential conditional...

The paper focuses on two estimation methods that have been widely used to address endogeneity in empirical research in health economics and health services research--two-stage predictor substitution (2SPS) and two-stage residual inclusion (2SRI). 2SPS is the rote extension (to nonlinear models)...

Competition and prospective payment have been widely used to control health care costs but may together provide incentives to selectively reduce expenditures on high-cost relative to low-cost users. We use patient discharge and hospital financial data from California to examine the effects of...

Comparative effectiveness research (CER) is thought to identify what works and does not work in health care. We interpret CER as infusing evidence on product quality into markets, shifting the relative demand for products in CER studies. We analyze how shifts in demand affect health and health...

Public technology assessments in general and Comparative Effectiveness Research (CER) in particular have been justified by offsetting benefits of improving patient health and reducing health care spending. However, little conceptual and empirical understanding exists concerning the quantitative...