RBOUNDS: Stata module to perform Rosenbaum sensitivity analysis for average treatment effects on the treated
Markus Gangl ()
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Markus Gangl: Social Science Centre Berlin (WZB)
Statistical Software Components from Boston College Department of Economics
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.
Requires: Stata version 7
Keywords: sensitivity; treatment; Rosenbaum; unobserved heterogeneity (search for similar items in EconPapers)
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.
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http://fmwww.bc.edu/repec/bocode/r/rbounds.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/r/rbounds.hlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/r/rbtest.dta sample data file (text/plain)
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Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s438301
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