IDEAS home Printed from https://ideas.repec.org/c/boc/bocode/s457133.html
 

DAGFIT: Stata module to fit a Generalized Beta (Type 2) distribution to grouped data via ML

Author

Listed:
  • Austin Nichols

Programming Language

Stata

Abstract

smgfit fits by ML the 3 parameter Dagum (Dagum, 1977,1980) distribution to a sample of counts or frequencies by income category. (For an estimator designed for unit record data, ssc desc dagumfit). Optionally specified variables z1var and z2var encode the lower and upper limits of each interval; if they are not specified, variables serving that role and called z1 and z2 are assumed to exist.

Suggested Citation

  • Austin Nichols, 2010. "DAGFIT: Stata module to fit a Generalized Beta (Type 2) distribution to grouped data via ML," Statistical Software Components S457133, Boston College Department of Economics.
    • Handle: RePEc:boc:bocode:s457133
    Note: This module should be installed from within Stata by typing "ssc install dagfit". 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/d/dagfit.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/d/dagfit_ll.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/d/dagfit.hlp
    File Function: help file
    Download Restriction: no
    ---><---

    Other versions of this item:

    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:s457133. 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.