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st: -lognfit- updated on SSC


From   <S.Jenkins@lse.ac.uk>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: -lognfit- updated on SSC
Date   Sun, 2 Jun 2013 09:33:52 +0100

With many thanks as ever to Kit Baum, -lognfit- has been updated on SSC
(details below).

Carsten Schroeder discovered a bug in the (optional) post-estimation
calculations of Lorenz ordinates. Thanks to him. The bug also affected
post-estimation utility -lognpred- which is part of the -lognfit-
package. That is also fixed, and the help files revised.

-ssc install lognfit- or -adoupdate lognfit, update ssc- to get the
updated version.


Stephen
------------------
Stephen P. Jenkins <s.jenkins@lse.ac.uk> 

------------------------------------------------------------------------
-----------------------
package lognfit from http://fmwww.bc.edu/repec/bocode/l
------------------------------------------------------------------------
-----------------------
TITLE
      'LOGNFIT': module to fit lognormal distribution by maximum
likelihood

DESCRIPTION/AUTHOR(S)
      
        lognfit fits by ML the 2 parameter lognormal distribution to
      sample observations  on a random variable. lognpred calculates
      statistics summarizing a lognormal distribution which    has been
      fitted using lognfit. Unit record data are assumed (rather than
      grouped data).
      
      KW: lognormal
      KW: log-normal
      KW: inequality
      KW: maximum likelihood
      
      Requires: Stata version 8.2
      
      Distribution-Date: 20130601
      
      Author: Stephen P. Jenkins, London School of Economics and
Political Science
      Support: email S.Jenkins@lse.ac.uk
      

INSTALLATION FILES                              (type net install
lognfit)
      lognfit.ado
      lognfit_ll.ado
      lognfit.hlp
      lognpred.ado
      lognpred.hlp
------------------------------------------------------------------------
------------------------------------------------------------------------
-----------------------------
(type -ssc install lognfit- to install)

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