Health insurance markets face two forms of adverse selection problems. On the demand side, adverse selection leads to plan price distortions and inefficient sorting of consumers across health plans. On the supply side, adverse selection creates incentives for plans to inefficiently distort...

We evaluate the success of Brazil's Corregedoria-Geral da União's (CGU) anti-corruption program in fostering better outcomes in the health sector using panel data from 5560 Brazilian municipalities over the period from 2000 to 2011. Since 2003, the program has randomly selected municipalities...

Health insurance markets face two forms of adverse selection problems. On the demand side, adverse selection leads to plan price distortions and inefficient sorting of consumers across health plans. On the supply side, adverse selection creates incentives for plans to inefficiently distort...

Risk adjustment is used in settings with uncertainty to make payments or allow comparisons of outcomes while controlling for exogenous risk factors that explain variations in the outcome of interest, such as spending, utilisation, quality or death. This article focuses on the conceptual and...

Explaining individual, regional, and provider variation in health care spending is of enormous value to policymakers, but is often hampered by the lack of individual level detail in universal public health systems because budgeted spending is often not attributable to specific individuals. Even...

Because less healthy employees value health insurance more than the healthy ones, when health insurance is newly offered job turnover rates for healthier employees decline less than turnover rates for the less healthy. We call this adverse job turnover, and it implies that a firm's expected...

"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...