Estimation of average treatment effects with panel data: Asymptotic theory and implementation

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Large Dimensional Latent Factor Modeling with Missing Observations and Applications to Causal Inference (2019, unknown): “We denote the set of (time-series/cross-section) (14)For example (Li, 2017; Li and Bell, 2017)”
Synthetic Difference In Differences (2018, unknown): “Li and Bell ( 2017 ) explicitly assumes that the outcomes Y themselves are weakly stationary, while Chernozhukov, Wüthrich, and Zhu ( 2018 ) makes the same assumption to derive the results that are valid under general misspecification.”
On the Properties of the Synthetic Control Estimator with Many Periods and Many Controls (2019, methodology): “…than the number of control units, other regularization methods could be used, as considered by, for example, Doudchenko and Imbens (2016), Arkhangelsky et al. (2021), Carvalho, Masini, and Medeiros (2018), Chernozhukov, Wuthrich, and Zhu (2021), Hsiao, Ching, and Wan (2012), and Li and Bell (2017).”
Synthetic controls with imperfect pretreatment fit (2016, background): “…biased if there are unobserved time-varying confounders (Propositions 1 and 2) still applies if we also relax the nonnegative and the adding-up constraints, which essentially leads to the panel data approach suggested by Hsiao, Ching, and Wan (2012), and further explored by Li and Bell (2017).”