Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/171862
Authors: 
Jun, Sung Jae
Pinkse, Joris
Xu, Haiqing
Yıldız, Neşe
Year of Publication: 
2016
Citation: 
[Journal:] Econometrics [ISSN:] 2225-1146 [Volume:] 4 [Year:] 2016 [Issue:] 1 [Pages:] 1-21
Abstract: 
We consider a model in which an outcome depends on two discrete treatment variables, where one treatment is given before the other. We formulate a three-equation triangular system with weak separability conditions. Without assuming assignment is random, we establish the identification of an average structural function using two-step matching. We also consider decomposing the effect of the first treatment into direct and indirect effects, which are shown to be identified by the proposed methodology. We allow for both of the treatment variables to be non-binary and do not appeal to an identification-at-infinity argument.
Subjects: 
nonparametric identification
discrete endogenous regressors
triangular models
JEL: 
C01
C14
C31
Persistent Identifier of the first edition: 
Creative Commons License: 
http://creativecommons.org/licenses/by/4.0/
Document Type: 
Article
Social Media Mentions:

4



Files in This Item:
File
Size
352.52 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.