RIFLOGIT: Stata module to fit unconditional logistic regression

Ben Jann

Statistical Software Components from Boston College Department of Economics

Abstract: riflogit fits an unconditional logistic regression by applying least-squares estimation to the RIF (recentered influence function) of the marginal log odds of a positive outcome. The exponents of the coefficients have an (approximate) marginal odds ratio interpretation.

Language: Stata
Requires: Stata version 11
Keywords: unconditional logistic regression; marginal odds ratio; recentered influence function (search for similar items in EconPapers)
Date: 2023-01-16
Note: This module should be installed from within Stata by typing "ssc install riflogit". 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/riflogit.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/r/riflogit_p.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/r/riflogit_RIF.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/r/riflogit.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/r/riflogit.zip zip archive (application/zip)

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Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s459171

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