Froelich, MarkusMarkusFroelich2023-04-132023-04-132004-02-01https://www.alexandria.unisg.ch/handle/20.500.14171/68031In this paper the finite-sample properties of matching and weighting estimators, often used for estimating average treatment effects, are analyzed. Potential and feasible precision gains relative to pair-matching are examined. Local linear matching (with and without trimming), k-nearest neighbour matching, and particularly the weighting estimators performed worst. Ridge matching, on the other hand, leads to an about 25% smaller MSE vis-a-vis pair-matching. In addition, ridge matching is least sensitive to the design choice. Download Discussion Paper: (pdf, 516 kb)enpropensity scorejournal article