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

Author

Listed:
  • Roger Newson

    (King's College London)

Programming Language

Stata

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.

Suggested Citation

  • Roger Newson, 2021. "SRSLOGIT: Stata module to perform Logit regression with secondary ridit splines," Statistical Software Components S458988, Boston College Department of Economics, revised 22 Sep 2021.
    • Handle: RePEc:boc:bocode:s458988
    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.
    as

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    File URL: http://fmwww.bc.edu/repec/bocode/s/srslogit.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/s/srslogit.sthlp
    File Function: help file
    Download Restriction: no
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    More about this item

    Keywords

    ridit; spline; logit; Stata;
    All these keywords.

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