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Machine learning estimation of heterogeneous causal effects : empirical Monte Carlo evidence
Knaus, Michael C.; Lechner, Michael; Strittmatter, Anthony - In: The econometrics journal 24 (2021) 1, pp. 134-161
Persistent link: https://www.econbiz.de/10012504459
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It is never too LATE : a new look at local average treatment effects with or without defiers
Dahl, Christian M.; Huber, Martin; Mellace, Giovanni - In: The econometrics journal 26 (2023) 3, pp. 378-404
Persistent link: https://www.econbiz.de/10014391694
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Instrument-based estimation with binarised treatments : issues and tests for the exclusion restriction
Andresen, Martin Eckhoff; Huber, Martin - In: The econometrics journal 24 (2021) 3, pp. 536-558
Persistent link: https://www.econbiz.de/10012620733
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Causal mediation analysis with double machine learning
Farbmacher, Helmut; Huber, Martin; Lafférs, Lukás; … - In: The econometrics journal 25 (2022) 2, pp. 277-300
Persistent link: https://www.econbiz.de/10013253832
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Evaluating (weighted) dynamic treatment effects by double machine learning
Bodory, Hugo; Huber, Martin; Lafférs, Lukás - In: The econometrics journal 25 (2022) 3, pp. 628-648
Persistent link: https://www.econbiz.de/10013399785
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Nonparametric bounds on employment and income effects of continuous vocational training in East Germany
Lechner, Michael - In: The econometrics journal 2 (1999) 1, pp. 1-28
Persistent link: https://www.econbiz.de/10001449254