Theory for Identification and Inference with Synthetic Controls: A Proximal Causal Inference Framework

@article{xu2026,
  title        = {{Theory for Identification and Inference with Synthetic Controls: A Proximal Causal Inference Framework}},
  author       = {Xu Shi et al.},
  journal      = {Journal of the American Statistical Association},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1080/01621459.2026.2639734},
}

TY  - JOUR
TI  - Theory for Identification and Inference with Synthetic Controls: A Proximal Causal Inference Framework
AU  - al., Xu Shi et
JO  - Journal of the American Statistical Association
PY  - 2026
ER  -

Xu Shi et al. (2026). Theory for Identification and Inference with Synthetic Controls: A Proximal Causal Inference Framework. *Journal of the American Statistical Association*. https://doi.org/https://doi.org/10.1080/01621459.2026.2639734

Xu Shi et al.. "Theory for Identification and Inference with Synthetic Controls: A Proximal Causal Inference Framework." *Journal of the American Statistical Association* (2026). https://doi.org/https://doi.org/10.1080/01621459.2026.2639734.

Theory for Identification and Inference with Synthetic Controls: A Proximal Causal Inference Framework
Xu Shi et al. · Journal of the American Statistical Association · 2026
https://doi.org/https://doi.org/10.1080/01621459.2026.2639734