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In the statistical analysis of observational data, propensity score matching (PSM) is a statistical matching technique that attempts to estimate the effect of a treatment, policy, or other intervention by accounting for the covariates that predict receiving the treatment.
Barbara Sianesi is an Italian economist currently a senior research economist at the Institute for Fiscal Studies in London. [1] She obtained her PhD from University College London and a BA in economics from Bocconi University.