Bootstrap Inference of Matching Estimators for Average Treatment Effects

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The Finite Sample Performance of Inference Methods for Propensity Score Matching and Weighting Estimators (2018, unknown): “Pingel (2015), for instance, focused on the impact of tuning parameters on the accuracy of the variance estimator of Abadie and Imbens (2016), but does not compare several classes of variance estimators.”
When Should We Use Unit Fixed Effects Regression Models for Causal Inference with Longitudinal Data? (2019, methodology): “This equivalence allows us to construct simple model-based standard errors instead of more complex and computationally intensive standard errors proposed in the literature (e.g., Abadie and Imbens, 2006, 2012; Otsu and Rai, 2017).”