Propensity Score Software (Stata)

Stata Code

teffects suite

• Stata written causal inference commands for matching and weighting
• Includes balance diagnostics, 1:1 matching, weighting, doubly robust approaches

psmatch2

• Leuven, E. and Sianesi, B. (2003). psmatch2. Stata module to perform full Mahalanobis and propensity score matching, common support graphing, and covariate imbalance testing.
• Allows k:1 matching, kernel weighting, Mahalanobis matching
• Includes built-in diagnostics
• Includes procedures for estimating ATT or ATE

pscore

• Becker, S.O. and Ichino, A. (2002). Estimation of average treatment effects based on propensity scores (2002) The Stata Journal 2(4): 358-377.
• k:1 matching, radius (caliper) matching, and stratification (subclassification)
• For estimating the ATT

match

• Abadie, A., Drukker, D., Herr, J. L., and Imbens, G. W. (2004). Implementing matching estimators for average treatment effects in Stata. The Stata Journal 4(3): 290-311.
• Primarily k:1 matching (with replacement)
• Allows estimation of ATT or ATE, including robust variance estimators

cem

• Iacus, S.M., King, G., and Porro, G. (2008). Matching for Causal Inference Without Balance Checking.
• Implements coarsened exact matching