(Partially) Identifying potential outcome distributions in triangular systems
In this paper we propose a new unifying approach to (partially) identify potential outcome distributions in a non-separable triangular model with a binary endogenous variable and a binary instrument. Our identification strategy provides a testable condition under which the objects of interest are point identified. When point identification is not achieved, we provide sharp bounds on the potential outcome distributions and the difference of marginal distributions.
|Date of creation:||29 Jan 2015|
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