Search Results for author:
Found 1 papers, 0 papers with code
Identification and Estimation in a Class of Potential Outcomes Models
This paper develops a class of potential outcomes models characterized by three main features: (i) Unobserved heterogeneity can be represented by a vector of potential outcomes and a type describing the manner in which an instrument determines the choice of treatment; (ii) The availability of an instrumental variable that is conditionally independent of unobserved heterogeneity; and (iii) The imposition of convex restrictions on the distribution of unobserved heterogeneity.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
