Identification of treatment effects in a triangular system of equations

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 treatment effects using two-step matching. We allow for the treatment variables to be nonbinary and do not appeal to an identification-at-infinity argument.

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Year of publication:	2012-10
Authors:	Jun, Sung Jae ; Pinkse, Joris ; Xu, Haiqing ; Yildiz, Nese
Institutions:	Department of Economics, University of Texas-Austin
Subject:	Nonparametric Identification \| Discrete Endogenous Regressors \| Triangular Models

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Extent:	application/pdf
Series:	Department of Economics Working Papers.
Type of publication:	Book / Working Paper
Notes:	Number 130910 20 pages
Classification:	C01 - Econometrics ; C14 - Semiparametric and Nonparametric Methods ; C31 - Cross-Sectional Models; Spatial Models
Source:	RePEc - Research Papers in Economics

Persistent link: https://ebvufind01.dmz1.zbw.eu/10010905937