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RBOUNDS: Stata module to perform Rosenbaum sensitivity analysis for average treatment effects on the treated

Author

Listed:
  • Markus Gangl

    (Social Science Centre Berlin (WZB))

Programming Language

Stata

Abstract

rbounds calculates Rosenbaum bounds for average treatment effects on the treated in the presence of unobserved heterogeneity (hidden bias) between treatment and control cases. rbounds takes the difference in the response variable between treatment and control cases as input variable varname. The procedure then calculates Wilcoxon signrank tests that give upper and lower bound estimates of significance levels at given levels of hidden bias. Under the assumption of additive treatment effects, rbounds also provides Hodges-Lehmann point estimates and confidence intervals for the average treatment effect on the treated. If installed, the input variable varname may be generated from psmatch or psmatch2. Currently, rbounds implements the sensitivity tests for matched (1x1) pairs only.

Suggested Citation

  • Markus Gangl, 2004. "RBOUNDS: Stata module to perform Rosenbaum sensitivity analysis for average treatment effects on the treated," Statistical Software Components S438301, Boston College Department of Economics.
    • Handle: RePEc:boc:bocode:s438301
    Note: This module may be installed from within Stata by typing "ssc install rbounds". 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/r/rbounds.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/r/rbounds.hlp
    File Function: help file
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/r/rbtest.dta
    File Function: sample data file
    Download Restriction: no
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