(Partially) Identifying potential outcome distributions in triangular systems

Ismael Mourifié (ismael.mourifie@utoronto.ca) and Yuanyuan Wan

Working Papers from University of Toronto, Department of Economics

Abstract: 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.

Keywords: Potential outcomes; triangular system; point and partial identification; sharp bounds. (search for similar items in EconPapers)
JEL-codes: C14 C31 C35 (search for similar items in EconPapers)
Pages: Unknown pages
Date: 2015-01-29
New Economics Papers: this item is included in nep-ecm
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.economics.utoronto.ca/public/workingPapers/tecipa-532.pdf Main Text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:tor:tecipa:tecipa-532

Access Statistics for this paper

More papers in Working Papers from University of Toronto, Department of Economics 150 St. George Street, Toronto, Ontario.
Bibliographic data for series maintained by RePEc Maintainer (repec-maintainer@economics.utoronto.ca).