IDEAS home Printed from https://ideas.repec.org/c/boc/bocode/s459291.html
 

COMPREG: Stata module to estimate a compositional regression with isometric log-ratio (ILR) transformation of the components

Author

Listed:
  • Giacomo Zanello

    (University of Reading)

Programming Language

Stata

Abstract

compreg estimates a compositional regression with isometric log-ratio (ILR) transformation of the components. Compositional regression with isometric log-ratio (ILR) transformation is a statistical method used when dealing with compositional data, independent variables represent parts of a whole and sum up to a constant, e.g. 1, 100%, or any number (1440 for the minutes in a day). Such data are common in multiple fields, for example economics, environment, ecology, in which data are often proportions or percentages. The challenge with compositional data is their constrained nature, which can lead to spurious correlations and statistical issues if standard regression techniques are applied directly.

Suggested Citation

  • Giacomo Zanello, 2024. "COMPREG: Stata module to estimate a compositional regression with isometric log-ratio (ILR) transformation of the components," Statistical Software Components S459291, Boston College Department of Economics.
  • Handle: RePEc:boc:bocode:s459291
    Note: This module should be installed from within Stata by typing "ssc install compreg". 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/c/compreg.ado
    File Function: program code
    Download Restriction: no

    File URL: http://fmwww.bc.edu/repec/bocode/c/compreg.sthlp
    File Function: help file
    Download Restriction: no

    File URL: http://fmwww.bc.edu/repec/bocode/g/gdp.dta
    File Function: supplementary data 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:s459291. 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.