Using administrative panel data of health insurants, we estimate the effects of low birth weight on health service utilization among children and young adults between birth and 21 years old. To account for time-invariant heterogeneity of mothers, we use sibling fixed- effects estimation. We find...

"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...

Using administrative panel data of health insurants, we estimate the effects of low birth weight on health service utilization among children and young adults between birth and 21 years old. To account for time-invariant heterogeneity of mothers, we use sibling fixed- effects estimation. We find...