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...

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...

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...

There is growing concern that the increasing use of machine learning and artificial intelligence-based systems may exacerbate health disparities through discrimination. We provide a hierarchical definition of discrimination consisting of algorithmic discrimination arising from predictive scores...

This paper examines the impact of California's hospital closures occurring from 1995-2011 on adjusted inpatient mortality for time-sensitive conditions: sepsis, stroke, asthma/chronic obstructive pulmonary disease (COPD) and acute myocardial infarction (AMI). Using a difference- in-difference...

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...

Features of Part D gave rise to broad concern that the drug benefit would negatively impact prescription utilization among the six million dual eligible beneficiaries, either during the transition from state Medicaid to Part D coverage, or in the long-run. At the same time, Part D contained...

Under the assumption of no unmeasured confounders, a large literature exists on methods that can be used to estimating average treatment effects (ATE) from observational data and that spans regression models, propensity score adjustments using stratification, weighting or regression and even the...

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...