Bruno Arpino

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Propensity Score Matching (PSM) has become a popular approach to estimate causal effects. It relies on the assumption that selection into treatment can be explained purely in terms of observable characteristics (unconfoundedness assumption) and on the property that balancing on the propensity score is equivalent to balancing on the observed covariates. The(More)
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