IDEAS home Printed from

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.

    Download full text from publisher

    File URL:
    File Function: program code
    Download Restriction: no

    File URL:
    File Function: help file
    Download Restriction: no

    File URL:
    File Function: zip file of package
    Download Restriction: no


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:boc:bocode:s458346. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F Baum). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.