IPWBREG: Stata module to compute inverse propensity weights from Bernoulli regression

Roger Newson

Statistical Software Components from Boston College Department of Economics

Abstract: ipwbreg fits a Bernoulli regression model for a binary dependent variable in a list of independent variables, and then outputs a list of inverse propensity weight variables. These propensity weight variables may be used to estimate propensity-adjusted effects of the binary treatment on an outcome variable. ipwbreg requires the xlink package if it is used with the extra link functions for glm supplied in xlink.

Language: Stata
Requires: Stata version 16 and xlink from SSC (q.v.)
Keywords: Bernoulli; inverse probability weights; adjusted treatment effects (search for similar items in EconPapers)
Date: 2021-09-29, Revised 2022-07-25
Note: This module should be installed from within Stata by typing "ssc install ipwbreg". 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/i/ipwbreg.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/i/ipwbreg.sthlp help file (text/plain)

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