Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic Control
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- Jann Spiess & Guido Imbens & Amar Venugopal, 2023. "Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic Control," NBER Working Papers 31802, National Bureau of Economic Research, Inc.
References listed on IDEAS
- Nikolay Doudchenko & Guido W. Imbens, 2016. "Balancing, Regression, Difference-In-Differences and Synthetic Control Methods: A Synthesis," NBER Working Papers 22791, National Bureau of Economic Research, Inc.
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Cited by:
- Masahiro Kato & Akari Ohda & Masaaki Imaizumi, 2023. "Asymptotically Unbiased Synthetic Control Methods by Distribution Matching," Papers 2307.11127, arXiv.org, revised May 2024.
- Yuan Liao & Xinjie Ma & Andreas Neuhierl & Zhentao Shi, 2023. "Economic Forecasts Using Many Noises," Papers 2312.05593, arXiv.org, revised Dec 2023.
- Dmitry Arkhangelsky & Guido Imbens, 2023. "Causal Models for Longitudinal and Panel Data: A Survey," Papers 2311.15458, arXiv.org, revised Jun 2024.
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More about this item
JEL classification:
- C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CMP-2023-05-29 (Computational Economics)
- NEP-DES-2023-05-29 (Economic Design)
- NEP-ECM-2023-05-29 (Econometrics)
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