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KMATCH: Stata module for multivariate-distance and propensity-score matching


  • Ben Jann

    () (University of Bern)


kmatch matches treated and untreated observations with respect to covariates and, if outcome variables are provided, estimates treatment effects based on the matched observations, optionally including regression adjustment bias-correction. Multivariate (Mahalanobis) distance matching as well as propensity score matching is supported, either using kernel matching, ridge matching, or nearest-neighbor matching. For kernel and ridge matching, several methods for data-driven bandwidth selection such as cross-validation are offered. The package also includes various commands for evaluating balancing and common-support violations.

Suggested Citation

  • Ben Jann, 2017. "KMATCH: Stata module for multivariate-distance and propensity-score matching," Statistical Software Components S458346, Boston College Department of Economics, revised 16 Jun 2017.
  • Handle: RePEc:boc:bocode:s458346
    Note: This module should be installed from within Stata by typing "ssc install kmatch". Windows users should not attempt to download these files with a web browser.

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