An introduction to propensity-score methods for reducing confounding in observational studies

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Endogeneity and marketing strategy research: an overview (2019, methodology): “In practice however, this may not always be feasible due to data constraints on which to produce a propensity score for each observation (see Austin 2011, p.414–415). For further reading on methodology, see Austin (2011), Heckman (1979), Rosenbaum and Rubin (1983), Guo and Fraser (2010), and the PSM”
Some methods for heterogeneous treatment effect estimation in high dimensions (2017, methodology): “For the estimation of a population-average treatment eﬀect (ATE), propensity score methods for reducing bias in observational studies have been established (Austin, 2011).”