1 citations · 2 across the 12 of their papers we have counts for
4 papers · 1 filter
Sharp Testable Implications of Encouragement Designs
Yuehao Bai, Shunzhuang Huang, Max Tabord-Meehan
This paper studies a potential outcome model with a continuous or discrete outcome, a discrete multi-valued treatment, and a discrete multi-valued instrument. We derive sharp, clos…
Inference for Treatment Effects Conditional on Generalized Principal Strata using Instrumental Variables
Yuehao Bai, Shunzhuang Huang, Sarah Moon +3
We propose a general approach to inference for a broad class of models that arise in the analysis of treatment effects with discrete-valued treatments and instruments and a general…
On the Identifying Power of Generalized Monotonicity for Average Treatment Effects
Yuehao Bai, Shunzhuang Huang, Sarah Moon +2
In the context of a binary outcome, treatment, and instrument, Balke and Pearl (1993, 1997) es- tablish that the monotonicity condition of Imbens and Angrist (1994) has no identify…
A Primer on the Analysis of Randomized Experiments and a Survey of some Recent Advances
Yuehao Bai, Azeem M. Shaikh, Max Tabord-Meehan
The past two decades have witnessed a surge of new research in the analysis of randomized experiments. The emergence of this literature may seem surprising given the widespread use…