(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

MoreLess

Year of publication:	2015
Authors:	Mourifie, Ismael
Other Persons:	Wan, Yuanyuan (contributor)
Publisher:	[2015]: [S.l.] : SSRN

Extent:	1 Online-Ressource (15 p)
Type of publication:	Book / Working Paper
Language:	English
Notes:	Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments December 29, 2014 erstellt
Other identifiers:	10.2139/ssrn.2610369 [DOI]
Classification:	C31 - Cross-Sectional Models; Spatial Models ; C34 - Truncated and Censored Models ; C35 - Discrete Regression and Qualitative Choice Models
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10013022190