The Centers for Medicare and Medicaid Services (CMS) has phased in the Hierarchical Condition Categories (HCC) risk adjustment model during 2004-2006 to more accurately estimate capitated payments to Medicare Advantage (MA) plans to reflect each beneficiary's health status. However, it is...

The politicization of the Affordable Care Act (ACA) was extreme, with the popular moniker of "Obamacare" and 54 House attempts to repeal the law in the four years after passage. Our study set out to understand Washington state public's preferences about enrolling into ACA driven health insurance...

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 provides empirical evidence of Medicaid crowd out of demand for private long-term care insurance. Using data on the near- and young-elderly in the Health and Retirement Survey, our central estimate suggests that a $10,000 decrease in the level of assets an individual can keep while...

We examine how long-term care insurance (LTCI) affects family outcomes expected to be sensitive to LTCI, including utilization of informal care and spillover effects on children. An instrumental variables approach allows us to address the endogeneity of LTCI coverage. LTCI coverage induces less...

Research on informal and formal long-term care has centered almost solely on costs; to date, there has been very little attention paid to the benefits. This study exploits the randomization in the Cash and Counseling Demonstration and Evaluation program and instrumental variable techniques to...

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...

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...

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...

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...