Multiple discrete endogenous variables in weakly-separable triangular models

Sung Jae Jun, Joris Pinkse, Haiqing Xu, Neşe Yıldız

Research output: Contribution to journalArticlepeer-review

7 Scopus citations


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.

Original languageEnglish (US)
Article number7
Issue number1
StatePublished - Mar 2016

All Science Journal Classification (ASJC) codes

  • Economics and Econometrics


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