RANDCMD: Stata module to compute randomization inference p-values

Alwyn Young ()
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Alwyn Young: LSE

Statistical Software Components from Boston College Department of Economics

Abstract: randcmd computes randomization-c and randomization-t p-values for individual treatment effects and joint Wald and Westfall-Young multiple-testing tests of statistical significance for equations with multiple treatment effects and for an experiment as a whole.

Language: Stata
Requires: Stata version 13.1
Keywords: randomization inference; multiple testing (search for similar items in EconPapers)
Date: 2020-05-02
Note: This module should be installed from within Stata by typing "ssc install randcmd". 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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Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/r/randcmd.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/r/randcmd.sthlp help file (text/plain)

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Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s458774

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