Fisher-Schultz lecture : generic machine learning inference on heterogeneous treatment effects in randomized experiments, with an application to immunization in India
| Year of publication: |
2025
|
|---|---|
| Authors: | Chernozhukov, Victor ; Demirer, Mert ; Duflo, Esther ; Fernández-Val, Iván |
| Published in: |
Econometrica : journal of the Econometric Society, an international society for the advancement of economic theory in its relation to statistics and mathematics. - Chichester : Wiley-Blackwell, ISSN 1468-0262, ZDB-ID 1477253-X. - Vol. 93.2025, 4, p. 1121-1164
|
| Subject: | Agnostic inference | causal machine learning | confidence intervals | heterogeneous effects | immunization incentives | multiple sample splitting | nudges | quantification of uncertainty | Künstliche Intelligenz | Artificial intelligence | Kausalanalyse | Causality analysis | Indien | India | Experiment | Schätztheorie | Estimation theory |
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Generic machine learning inference on heterogenous treatment effects in randomized experiments
Chernozhukov, Victor, (2017)
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Generic machine learning inference on heterogenous treatment effects in randomized experiments
Chernozhukov, Victor, (2018)
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Generic machine learning inference on heterogenous treatment effects in randomized experiments
Chernozhukov, Victor, (2017)
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Generic machine learning inference on heterogenous treatment effects in randomized experiments
Chernozhukov, Victor, (2018)
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Imai, Kosuke, (2025)
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