Partial identification in non-separable triangular models

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Supervisors: Van Bellegem, Sébastien
Faculty: Faculté des sciences économiques, sociales, politiques et de communication
Degree label: Master [120] en sciences économiques, orientation économétrie
Abstract: We define an identification region and an estimator for the regression function $g(X, \varepsilon)$ of non-separable triangular models in the case where data is supposed to follow a general missing data pattern. We use fundamental concepts of partial identification, the generation of the unobservable random term $\varepsilon$ from within the model and assumptions on the instrumental variable to do so. General results are given and an empirical example is presented.

Toniotti, M. (2020). Partial identification in non-separable triangular models. https://dial-mem.test.bib.ucl.ac.be/handle/2078.2/22042