What is the effect of correlations among observed covariates or between observed and unobserved covariates on the quality of matching, when matching iss done using
- Propensity score
- (Euclidian/Mahalanobis) distance metric
Should one try to remove correlations by using Mahalanobis distance instead of Euclidean distance metric?