MVDCMP: Stata module to compute multivariate decomposition for nonlinear response models
Daniel Powers,
Hirotoshi Yoshioka () and
Myeong-Su Yun ()
Additional contact information
Hirotoshi Yoshioka: University of Texas at Austin
Statistical Software Components from Boston College Department of Economics
Abstract:
mvdcmp computes a multivariate decomposition for a variety of models, and is often used to analyze differentials by race or sex. estimationFile-URL: http://fmwww.bc.edu/repec/bocode/_/command is the model of interest, depvar is the outcome variable and indepvars are predictors. groupvar identifies the groups to be compared.
Language: Stata
Requires: Stata version 15
Keywords: decomposition; nonlinear models (search for similar items in EconPapers)
Date: 2021-07-04, Revised 2024-01-30
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.
References: Add references at CitEc
Citations:
Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/m/mvdcmp.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/m/mvdcmp.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/m/mvdcmpgroup.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/m/mvdcmpgroup.sthlp help file (text/plain)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s458968
Ordering information: This software item can be ordered from
http://repec.org/docs/ssc.php
Access Statistics for this software item
More software in Statistical Software Components from Boston College Department of Economics Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().