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RADIUSMATCH: Stata module to perform distance-weighted radius matching with bias adjustment

Author

Listed:
  • Martin Huber

    (University of St. Gallen)

  • Michael Lechner

    (University of St. Gallen)

  • Andreas Steinmayr

    (SEW-HSG)

Programming Language

Stata

Abstract

radiusmatch estimates average treatment effects (ATET, ATENT, ATE) of treatvar for a set of outcomes variables (outcome) using radius matching. indepvars are used to compute the propensity score. radiusmatch is a one-to-many caliper matching algorithm as, for example, discussed by Rosenbaum and Rubin (1985) and used by Dehejia and Wahba (1999, 2002). Caliper or radius matching uses all comparison observations within a predefined distance around the propensity score or based on the Mahalanobis distance of the respective treated. This allows for higher precision than fixed nearest neighbour matching in regions in which many similar comparison observations are available. Also, it may lead to a smaller bias in regions where similar controls are sparse. In other words, instead of fixing M globally, M is determined in the local neighbourhood of each treated observation.

Suggested Citation

  • Martin Huber & Michael Lechner & Andreas Steinmayr, 2012. "RADIUSMATCH: Stata module to perform distance-weighted radius matching with bias adjustment," Statistical Software Components S457575, Boston College Department of Economics, revised 19 Aug 2014.
    • Handle: RePEc:boc:bocode:s457575
    Note: This module should be installed from within Stata by typing "ssc install radiusmatch". 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.
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    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/r/radiusmatch.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/r/radiusmatch.sthlp
    File Function: help file
    Download Restriction: no
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    Citations

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    Cited by:

    1. Gonzalo Cómbita Mora & Óscar Pérez Rodríguez, 2020. "International Remittances and Child Welfare: A Case Study on Cali Colombia," Revista Desarrollo y Sociedad, Universidad de los Andes,Facultad de Economía, CEDE, vol. 86(3), pages 73-103, November.
    2. Marloes Lammers & Lucy Kok, 2021. "Are active labor market policies (cost-)effective in the long run? Evidence from the Netherlands," Empirical Economics, Springer, vol. 60(4), pages 1719-1746, April.

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