SRSLOGIT: Stata module to perform Logit regression with secondary ridit splines

Roger Newson

Statistical Software Components from Boston College Department of Economics

Abstract: srslogit fits a primary logit model for a binary dependent variable in a list of independent variables, followed by a secondary ridit spline model for the same binary dependent variable in the ridit of the predicted dependent variable from the primary logit model. It optionally outputs variables created in this process, including the predicted values (also known as propensity scores) and inverse probability weights (also known as inverse propensity weights) from the primary and secondary logit models. These propensity weights may be used as treatment propensity weights (if the dependent variable is a treatment indicator) or as completeness-propensity weights (if the dependent variable is a completeness indicator). srslogit uses the SSC packages wridit and bspline, which have to be installed in order for srslogit to run.

Language: Stata
Requires: Stata version 16, wridit and bspline from SSC (q.v.)
Keywords: ridit; spline; logit (search for similar items in EconPapers)
Date: 2021-08-27, Revised 2021-09-22
Note: This module should be installed from within Stata by typing "ssc install srslogit". 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/s/srslogit.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/s/srslogit.sthlp help file (text/plain)

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