IDEAS home Printed from https://ideas.repec.org/c/boc/bocode/s456788.html
 

MEOPROBIT: Stata module to compute marginal effects after estimation of ordered probit

Author

Listed:
  • Thomas Cornelissen

    (University of Hannover)

Programming Language

Stata

Abstract

-meoprobit- computes marginal effects at means and their standard errors after the estimation of an ordered probit model. The mean values are those of the estimation sample or of a sub-goup of the sample. Alternatives are -mfx-, -mfx2- and -margeff-, which have the advantage of greater generality, more options and a better link with other Stata commands after estimation. The advantages of -meoprobit- are its speed, its compact way of displaying the results and the fact that it computes also the marginal effect of the regressors on the expected mean of the outcome variable

Suggested Citation

  • Thomas Cornelissen, 2006. "MEOPROBIT: Stata module to compute marginal effects after estimation of ordered probit," Statistical Software Components S456788, Boston College Department of Economics.
    • Handle: RePEc:boc:bocode:s456788
    Note: This module should be installed from within Stata by typing "ssc install meoprobit". 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/m/meoprobit.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/m/meoprobit.hlp
    File Function: help file
    Download Restriction: no
    ---><---

    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:s456788. 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.