Heterogeneous treatment effects: Instrumental variables without monotonicity?
نویسندگان
چکیده
منابع مشابه
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...
متن کاملInstrumental Variables for Binary Treatments with Heterogeneous Treatment Effects: A Simple Exposition
This note provides a simple exposition of what IV can and cannot estimate in a model with a binary treatment variable and heterogeneous treatment effects. It shows how linear IV is a misspecification of functional form and the reason why linear IV estimates for this model will always depend on the instrument used is because of this misspecification. It shows that if one can estimate the correct...
متن کاملExtended 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...
متن کاملBias and Bias Correction in Multi-Site Instrumental Variables Analysis Of Heterogeneous Mediator Effects
We explore the use of instrumental variables (IV) analysis with a multi-site randomized trial to estimate the effect of a mediating variable on an outcome in cases where it can be assumed that the observed mediator is the only mechanism linking treatment assignment to outcomes, as assumption known in the instrumental variables literature as the exclusion restriction. We use a random-coefficient...
متن کاملConsistency without Inference: Instrumental Variables in Practical Application
I use the bootstrap to study a comprehensive sample of 1400 instrumental variables regressions in 32 papers published in the journals of the American Economic Association. IV estimates are more often found to be falsely significant and more sensitive to outliers than OLS, while having a higher mean squared error around the IV population moment. There is little evidence that OLS estimates are su...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Econometrics
سال: 2010
ISSN: 0304-4076
DOI: 10.1016/j.jeconom.2009.08.006