Fisher-Schultz Lecture: Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments, with an Application to Immunization in India
- DOI
- 10.48550/arxiv.1712.04802
- Published
- 2017
- Container
- Not recorded
- Publisher
- arXiv
- Open access
- no
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BibTeX
@article{allodium:10.48550/arxiv.1712.04802,
title = {Fisher-Schultz Lecture: Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments, with an Application to Immunization in India},
author = {Chernozhukov, Victor and Demirer, Mert and Duflo, Esther and Fernández-Val, Iván},
year = {2017},
doi = {10.48550/arxiv.1712.04802},
url = {https://doi.org/10.48550/arxiv.1712.04802}
}RIS
TY - JOUR TI - Fisher-Schultz Lecture: Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments, with an Application to Immunization in India AU - Chernozhukov, Victor AU - Demirer, Mert AU - Duflo, Esther AU - Fernández-Val, Iván PY - 2017 DO - 10.48550/arxiv.1712.04802 UR - https://doi.org/10.48550/arxiv.1712.04802 ER -
APA
Victor, C., Mert, D., Esther, D., & Iván, F. (2017). Fisher-Schultz Lecture: Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments, with an Application to Immunization in India. https://doi.org/10.48550/arxiv.1712.04802