Program evaluation and causal inference with high-dimensional data
Year of publication: |
January 2017
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Authors: | Belloni, Alexandre ; Chernozhukov, Victor ; Fernández-Val, Iván ; Hansen, Christian Bailey |
Published in: |
Econometrica : journal of the Econometric Society, an internat. society for the advancement of economic theory in its relation to statistics and mathematics. - [Wechselnde Erscheinungsorte] : [Wechselnde Verlage], ISSN 0012-9682, ZDB-ID 1798-X. - Vol. 85.2017, 1, p. 233-298
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Subject: | Machine learning | causality | Neyman orthogonality | heterogenous treatment effects | endogeneity | local average and quantile treatment effects | instruments | local effects of treatment on the treated | propensity score | Lasso | inference after model selection | moment-condition models | moment-condition models with a continuum of target parameters | Lasso and Post-Lasso with functional response data | randomized control trials | high-dimensional data | Kausalanalyse | Causality analysis | Künstliche Intelligenz | Artificial intelligence |
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