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

Austin Nichols ()

Statistical Software Components from Boston College Department of Economics

Abstract: smgfit fits by ML the 3 parameter Generalized Beta (Type 2), or GB2, distribution to a sample of counts or frequencies by income category. (For an estimator designed for unit record data, ssc desc gb2fit). 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.

Language: Stata
Requires: Stata version 8.2
Keywords: Generalized Beta; income distribution; multinomial maximum likelihood; grouped; interval; censored (search for similar items in EconPapers)
Date: 2010-05-05
Note: This module should be installed from within Stata by typing "ssc install gbgfit". 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/g/gbgfit.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/g/gbgfit_ll.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/g/gbgfit.hlp help file (text/plain)

Related works:
Software Item: DAGFIT: Stata module to fit a Generalized Beta (Type 2) distribution to grouped data via ML (2010)
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:s457132

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 ().