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20192026
most citedDouble machine learning for sample selection models

3 citations · 3 across the 3 of their papers we have counts for

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econ.EM2020★ 3 cited

Double machine learning for sample selection models

Michela Bia, Martin Huber, Lukáš Lafférs

This paper considers the evaluation of discretely distributed treatments when outcomes are only observed for a subpopulation due to sample selection or outcome attrition. For ident…

econ.EM2020

Bounds on direct and indirect effects under treatment/mediator endogeneity and outcome attrition

Martin Huber, Lukáš Lafférs

Causal mediation analysis aims at disentangling a treatment effect into an indirect mechanism operating through an intermediate outcome or mediator, as well as the direct effect of…