Next Article in Journal
Computational Complexity and Parallelization in Bayesian Econometric Analysis
Next Article in Special Issue
Removing Specification Errors from the Usual Formulation of Binary Choice Models
Previous Article in Journal
Functional-Coefficient Spatial Durbin Models with Nonparametric Spatial Weights: An Application to Economic Growth
Article

Multiple Discrete Endogenous Variables in Weakly-Separable Triangular Models

1
CAPCP and Department of Economics, Pennsylvania State University, 608 Kern Graduate Building, University Park, PA 16802, USA
2
Department of Economics, University of Texas at Austin, 78712 Austin, TX, USA
3
Department of Economics, University of Rochester, 222 Harkness Hall, Rochester, NY 14627, USA
*
Author to whom correspondence should be addressed.
Academic Editor: William Greene
Econometrics 2016, 4(1), 7; https://doi.org/10.3390/econometrics4010007
Received: 7 September 2015 / Revised: 14 December 2015 / Accepted: 8 January 2016 / Published: 4 February 2016
(This article belongs to the Special Issue Discrete Choice Modeling)
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. View Full-Text
Keywords: nonparametric identification; discrete endogenous regressors; triangular models nonparametric identification; discrete endogenous regressors; triangular models
Show Figures

Figure 1

MDPI and ACS Style

Jun, S.J.; Pinkse, J.; Xu, H.; Yıldız, N. Multiple Discrete Endogenous Variables in Weakly-Separable Triangular Models. Econometrics 2016, 4, 7. https://doi.org/10.3390/econometrics4010007

AMA Style

Jun SJ, Pinkse J, Xu H, Yıldız N. Multiple Discrete Endogenous Variables in Weakly-Separable Triangular Models. Econometrics. 2016; 4(1):7. https://doi.org/10.3390/econometrics4010007

Chicago/Turabian Style

Jun, Sung J., Joris Pinkse, Haiqing Xu, and Neşe Yıldız. 2016. "Multiple Discrete Endogenous Variables in Weakly-Separable Triangular Models" Econometrics 4, no. 1: 7. https://doi.org/10.3390/econometrics4010007

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop