IDEAS home Printed from https://ideas.repec.org/c/boc/bocode/s457875.html
 

GROUP_TWOWAY: Stata module to group observations by the connected components of two variables

Author

Listed:
  • Lucas Ferreira Mation

    (IPEA)

  • Aguinaldo Nogueira Maciente

    (IPEA)

Programming Language

Stata

Abstract

group_twoway groups observations by the connected components of the parent and child variables. For instance, given a list of family relationships between people, this grouping will connect any two individuals for whom there is a "family path" connecting them (cousin, of a cousin, of a cousin, etc) even if there are no direct family relationships between them. This can be useful when classifications (sectorial, regional) change over time and one wants to create a constant classification over the period.

Suggested Citation

  • Lucas Ferreira Mation & Aguinaldo Nogueira Maciente, 2014. "GROUP_TWOWAY: Stata module to group observations by the connected components of two variables," Statistical Software Components S457875, Boston College Department of Economics.
    • Handle: RePEc:boc:bocode:s457875
    Note: This module should be installed from within Stata by typing "ssc install group_twoway". 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/group_twoway.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/g/group_twoway.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:s457875. 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.