Person-centered Treatment (PeT) Effects: Individualized Treatment Effects Using Instrumental Variables

Heterogeneous Treatment Effects: Instrumental Variables without Monotonicity?

Heterogeneous Treatment Effects: Instrumental Variables without Monotonicity? A fundamental identification problem in program evaluation arises when idiosyncratic gains from participation and the treatment decision depend on each other. Imbens and Angrist (1994) were the first to exploit a monotonicity condition in order to identify an average treatment effect parameter using instrumental varia...

Inference about Treatment Effects Using Bounds, Sensitivity Analysis and Instrumental Variables

AMY RICHARDSON: Inference about Treatment Effects Using Bounds, Sensitivity Analysis and Instrumental Variables (Under the direction of Michael G. Hudgens) This dissertation considers conducting inference about the effect of a treatment (or exposure) on an outcome of interest. In the ideal setting where treatment is assigned randomly, under certain assumptions the treatment effect is identifiab...

Identification of population average treatment effects using nonlinear instrumental variables estimators : another cautionary note

Estimating Peer Effects in Longitudinal Dyadic Data Using Instrumental Variables

The identification of causal peer effects (also known as social contagion or induction) from observational data in social networks is challenged by two distinct sources of bias: latent homophily and unobserved confounding. In this paper, we investigate how causal peer effects of traits and behaviors can be identified using genes (or other structurally isomorphic variables) as instrumental varia...

Extended instrumental variables estimation for overall effects.

We consider a method for extending instrumental variables methods in order to estimate the overall effect of a treatment or exposure. The approach is designed for settings in which the instrument influences both the treatment of interest and a secondary treatment also influenced by the primary treatment. We demonstrate that, while instrumental variables methods may be used to estimate the joint...