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OPARALLEL: Stata module providing post-estimation command for testing the parallel regression assumption

Author

Listed:
  • Maarten L. Buis

    (University of Konstanz)

Programming Language

Stata

Abstract

oparallel is a post-estimation command testing the parallel regression assumption in a ordered logit model. By default it performs five tests: a likelihood ratio test, a score test, a Wald test, a Wolfe-Gould test, and a Brant test. These tests compare a ordered logit model with the fully generalized ordered logit model, which relaxes the parallel regression assumption on all explanatory variables. Optionally, oparallel can use the bootstrap to compute the p-values for these tests.

Suggested Citation

  • Maarten L. Buis, 2013. "OPARALLEL: Stata module providing post-estimation command for testing the parallel regression assumption," Statistical Software Components S457720, Boston College Department of Economics, revised 13 Jun 2019.
    • Handle: RePEc:boc:bocode:s457720
    Note: This module should be installed from within Stata by typing "ssc install oparallel". 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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    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/o/oparallel.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/o/oparallel.sthlp
    File Function: help file
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/o/oparallel_ex.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/g/gologit3_lf2.ado
    File Function: program code
    Download Restriction: no
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    Cited by:

    1. Aida Isabel Tavares & Pedro Lopes Ferreira, 2020. "Public satisfaction with health system coverage, empirical evidence from SHARE data," International Journal of Health Economics and Management, Springer, vol. 20(3), pages 229-249, September.

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