IDEAS home Printed from https://ideas.repec.org/c/boc/bocode/s458968.html
 

MVDCMP: Stata module to compute multivariate decomposition for nonlinear response models

Author

Listed:
  • Daniel A. Powers

    (University of Texas at Austin)

  • Hirotoshi Yoshioka

    (University of Texas at Austin)

  • Myeong-Su Yun

    (Tulane University)

Programming Language

Stata

Abstract

mvdcmp computes a multivariate decomposition for a variety of models, and is often used to analyze differentials by race or sex. estimation_command is the model of interest, depvar is the outcome variable and indepvars are predictors. groupvar identifies the groups to be compared.

Suggested Citation

  • Daniel A. Powers & Hirotoshi Yoshioka & Myeong-Su Yun, 2021. "MVDCMP: Stata module to compute multivariate decomposition for nonlinear response models," Statistical Software Components S458968, Boston College Department of Economics, revised 30 Jan 2024.
    • Handle: RePEc:boc:bocode:s458968
    Note: This module should be installed from within Stata by typing "ssc install mvdcmp". An earlier version was published in Stata Journal vol. 11. 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/mvdcmp.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/m/mvdcmp.sthlp
    File Function: help file
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/m/mvdcmpgroup.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/m/mvdcmpgroup.sthlp
    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:s458968. 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.