Causal inference of general treatment effects using neural networks with a diverging number of confounders
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DOI: 10.1016/j.jeconom.2023.105555
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Cited by:
- Sihui Zhao & Xinbo Wang & Lin Liu & Xin Zhang, 2024. "Covariate Adjustment in Randomized Experiments Motivated by Higher-Order Influence Functions," Papers 2411.08491, arXiv.org, revised Dec 2024.
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More about this item
Keywords
Artificial neural networks; Barron space; Mixed smoothness class; ReLU; Diverging confounders; Propensity score; Quantile treatment effects; Weighted bootstrap;All these keywords.
JEL classification:
- C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
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