Estimation of Conditional Average Treatment Effects With High-Dimensional Data-Reference-Cited by-同舟云学术

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Estimation of Conditional Average Treatment Effects With High-Dimensional Data

Published:2020-09-14 Issue:1 Volume:40 Page:313-327
ISSN:0735-0015
Container-title:Journal of Business & Economic Statistics
language:en
Short-container-title:Journal of Business & Economic Statistics

Author:

Fan Qingliang¹,Hsu Yu-Chin²³⁴,Lieli Robert P.⁵,Zhang Yichong⁶

Affiliation:

1. Department of Economics, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong;

2. Institute of Economics, Academia Sinica, Taipei, Taiwan

3. Department of Finance, National Central University, Taoyuan, Taiwan

4. Department of Economics, National Chengchi University, Taipei, Taiwan

5. Department of Economics and Business, Central European University, Budapest, Hungary

6. School of Economics, Singapore Management University, Singapore

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Economics and Econometrics,Social Sciences (miscellaneous),Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/07350015.2020.1811102

Reference49 articles.

1. Estimating Conditional Average Treatment Effects

2. Efficient Estimation of Models with Conditional Moment Restrictions Containing Unknown Functions

3. Killing Me Softly: The Fetal Origins Hypothesis

4. Information and Asymptotic Efficiency in Parametric-Nonparametric Models

5. Program Evaluation and Causal Inference With High-Dimensional Data

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1. Estimation of conditional average treatment effect based on greedy model averaging method;SCIENTIA SINICA Mathematica;2024-09-01

2. Calibrating doubly-robust estimators with unbalanced treatment assignment;Economics Letters;2024-08

3. Modern approaches for evaluating treatment effect heterogeneity from clinical trials and observational data;Statistics in Medicine;2024-07-25

4. Augmented inverse probability weighted estimation for conditional treatment effect;Journal of Nonparametric Statistics;2024-07-15

5. A simple nonparametric least-squares-based causal inference for heterogeneous treatment effects;Journal of Nonparametric Statistics;2024-07-15

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