IDEAS home Printed from https://ideas.repec.org/c/boc/bocode/s458632.html
 

ULTIMATCH: Stata module to implement Nearest Neighbor, Radius, Coarsened Exact, Percentile Rank and Mahalanobis Distance Matching

Author

Listed:
  • Thorsten Doherr

    (ZEW Mannheim)

Programming Language

Stata

Abstract

ultimatch implements various score and distance based matching methods, i.e. Nearest Neighbor, Radius, Coarsened Exact, Percentile Rank and Mahalanobis Distance Matching. It implements an efficient method for distance based matching like Mahalanobis matching preventing the quadratic increment of the runtime. Matched observations are marked individually allowing interactions between treated and counterfactuals. Different methods can be combined to improve the results and/or to impose external requirements on the matched. Among other control variables, it creates mandatory weights to provide balanced matching results, preventing distortions caused by skewed counterfactual candidate distributions, e.g. overabundance of candidates with the same score or within the same coarsened group.

Suggested Citation

  • Thorsten Doherr, 2019. "ULTIMATCH: Stata module to implement Nearest Neighbor, Radius, Coarsened Exact, Percentile Rank and Mahalanobis Distance Matching," Statistical Software Components S458632, Boston College Department of Economics, revised 23 Jun 2021.
    • Handle: RePEc:boc:bocode:s458632
    Note: This module should be installed from within Stata by typing "ssc install ultimatch". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/u/ultimatch.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/u/ultimatch.sthlp
    File Function: help file
    Download Restriction: no
    ---><---

    Corrections

    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:s458632. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F Baum (email available below). General contact details of provider: https://edirc.repec.org/data/debocus.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.