MANSKI_CI: Stata module to use Manski type bounds (Manski 2003) to calculate confidence intervals around a treatment variable's regression coefficient in a (covariate-adjusted) regression

John Ternovski ()
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John Ternovski: Georgetown University

Statistical Software Components from Boston College Department of Economics

Abstract: manski_ci is designed for use in the context of randomized controlled trials (RCTs) with missing outcomes (usually with different rates of missingness across experimental arms). The command infers worst case and best case values of an outcome as described in Manski (2003). This command takes the lower bound of the (covariate-adjusted) regression that assumes the worst case outcomes and the upper bound of the (covariate-adjusted) regression that assumes the best case outcome. This gives the user a more conservative confidence interval around their (covariate-adjusted) regression estimate of the treatment effect.

Language: Stata
Requires: Stata version 13.1
Keywords: Manski; confidence intervals; RCT; missingness (search for similar items in EconPapers)
Date: 2022-03-26
Note: This module should be installed from within Stata by typing "ssc install manski_ci". 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/m/manski_ci.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/m/manski_ci.sthlp help file (text/plain)

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