After matching, it is crucial to assess whether the covariates are balanced between the treated and untreated groups. This can be done using: - Standardized Mean Differences: A common rule of thumb is that standardized mean differences should be less than 0.1 for all covariates. - Visual Inspection: Plotting histograms or density plots of propensity scores before and after matching can provide a visual assessment of balance. - Statistical Tests: Performing t-tests or chi-square tests on covariates to check for significant differences.
