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Reply to: Comments on “Fisher–Schultz Lecture: Generic Machine Learning Inference on Heterogeneous Treatment Effects in Randomized Experiments, With an Application to Immunization in India”
https://doi.org/10.3982/ECTA23706 Correction added 29 July 2025, after first online publication: Victor Chernozhukov’s email address has been corrected. p. 1177-1181
Victor Chernozhukov|Mert Demirer|Esther Duflo|Iván Fernández‐Val
MLA
Chernozhukov, Victor, et al. “Reply to: Comments on “Fisher–Schultz Lecture: Generic Machine Learning Inference on Heterogeneous Treatment Effects in Randomized Experiments, With an Application to Immunization in India”.” Econometrica, vol. 93, .no 4, Econometric Society, 2025, pp. 1177-1181, https://doi.org/10.3982/ECTA23706
Chicago
Chernozhukov, Victor, Mert Demirer, Esther Duflo, and Iván Fernández‐Val. “Reply to: Comments on “Fisher–Schultz Lecture: Generic Machine Learning Inference on Heterogeneous Treatment Effects in Randomized Experiments, With an Application to Immunization in India”.” Econometrica, 93, .no 4, (Econometric Society: 2025), 1177-1181. https://doi.org/10.3982/ECTA23706
APA
Chernozhukov, V., Demirer, M., Duflo, E., & Fernández‐Val, I. (2025). Reply to: Comments on “Fisher–Schultz Lecture: Generic Machine Learning Inference on Heterogeneous Treatment Effects in Randomized Experiments, With an Application to Immunization in India”. Econometrica, 93(4), 1177-1181. https://doi.org/10.3982/ECTA23706
Supplement to "Reply to: Comments on "Fisher-Schultz Lecture: Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments, with an Application to Immunization in India""
Victor Chernozhukov, Mert Demirer, Esther Duflo, and Iván Fernández-Val
The replication package for this paper is available at https://doi.org/10.5281/zenodo.14946864. The Journal checked the data and codes included in the package for their ability to reproduce the results in the paper and approved online appendices.
We are deeply saddened by the passing of Kate Ho, the John L. Weinberg Professor of Economics and Business Policy at Princeton University and a Fellow of the Econometric Society. Kate was a brilliant IO economist and scholar whose impact on the profession will resonate for many years to come.
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