IDEAS home Printed from https://ideas.repec.org/c/boc/bocode/s456603.html
 

GOPROBIT: Stata module to estimate generalized ordered probit models

Author

Listed:
  • Stefan Boes

    (University of Zurich)

Programming Language

Stata

Abstract

goprobit is a user-written procedure to estimate generalized ordered probit models in Stata. The actual values taken on by the dependent variable are irrelevant except that larger values are assumed to correspond to "higher" outcomes. The generalized ordered probit model relaxes the parallel regression assumption of the standard ordered probit model.

Suggested Citation

  • Stefan Boes, 2006. "GOPROBIT: Stata module to estimate generalized ordered probit models," Statistical Software Components S456603, Boston College Department of Economics, revised 06 Sep 2006.
  • Handle: RePEc:boc:bocode:s456603
    Note: This module should be installed from within Stata 8 by typing "ssc install goprobit". 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

    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/g/goprobit.ado
    File Function: program code
    Download Restriction: no

    File URL: http://fmwww.bc.edu/repec/bocode/g/goprobit_p.ado
    File Function: program code
    Download Restriction: no

    File URL: http://fmwww.bc.edu/repec/bocode/g/goprobit_ll.ado
    File Function: program code
    Download Restriction: no

    File URL: http://fmwww.bc.edu/repec/bocode/g/goprobit.hlp
    File Function: help file
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kaneva, Maria & Baidin, Valerii, 2018. "Heterogeneity in reporting self-assessed health of the Russians," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 51, pages 102-125.
    2. L. Arrondel & M. Roger & F. Savignac, 2014. "Wealth and Income in the Euro Area: Heterogeneity in Households’ Behaviours?," Working papers 497, Banque de France.

    More about this item

    Keywords

    ordered probit; Stata;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:boc:bocode:s456603. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F Baum (email available below). General contact details of provider: https://edirc.repec.org/data/debocus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.