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py-why / EconML

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

Home Page:https://www.microsoft.com/en-us/research/project/alice/

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Iinterference and/or spillover effect

juandavidgutier opened this issue · comments

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Hello, I am a fan of EconML, but I will be extremely happy if you develop an ML model to perform an estimation of overall, direct, and indirect causal effects for single time point interventions in network-dependent (non-IID) data in the presence of interference and/or spillover, as in: Auto-G-Computation of Causal Effects on a Network. Tchetgen Tchetgen et al. Journal of the American Statistical Association, Volume 116, 2021 - Issue 534