Ever since the seminal RAND Health insurance experiment (HIE) was conducted, most health care services, including pharmaceuticals, are deemed to be price inelastic with price elasticities of demand (PED) close to -0.20. However, most studies of PED exploit natural experiments that change demand...

This paper uses Roy's model of sorting behavior to study welfare implication of current health care data production infrastructure that relies on solicitation of research subjects. We show that due to severe adverse-selection issues, directionality of bias cannot be established and welfare may...

This study uses Monte Carlo simulations to examine the ability of the two-stage least-squares (2SLS) estimator and two-stage residual inclusion (2SRI) estimators with varying forms of residuals to estimate the local average and population average treatment effect parameters in models with binary...

This paper builds on the methods of local instrumental variables developed by Heckman and Vytlacil (1999, 2001, 2005) to estimate person-centered treatment (PeT) effects that are conditioned on the person's observed characteristics and averaged over the potential conditional distribution of...

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...

The United States aspires to use information from comparative effectiveness research (CER) to reduce waste and contain costs without instituting a formal rationing mechanism or compromising patient or physician autonomy with regard to treatment choices. With such ambitious goals, traditional...

Economic literature has extensively studied how prices for incumbent pharmaceutical drugs respond to generic competition after entry. However, less attention has been paid to pricing behavior in anticipation of brand-to-brand competition. We contribute to this gap in the literature by both...

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...