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st: -hshaz-: program to estimate discrete time (grouped data) proportional hazards models with 'Heckman-Singer' heterogeneity


From   "Stephen P Jenkins" <[email protected]>
To   <[email protected]>
Subject   st: -hshaz-: program to estimate discrete time (grouped data) proportional hazards models with 'Heckman-Singer' heterogeneity
Date   Fri, 23 Jul 2004 15:14:50 +0100

With many thanks to Kit Baum, my program -hshaz- is now available for
download from the SSC archive. A description follows below. To install
the program,

	ssc install hshaz

Please email me with comments and suggestions.


DESCRIPTION
      
      -hshaz- estimates, using ML, two discrete time (grouped data)
      proportional hazards regression models, one of which incorporates
      a discrete mixture distribution to summarize unobserved
      individual heterogeneity (or 'frailty'). More specifically, the
      models are (1) the Prentice-Gloeckler (1978) model; and (2) the
      Prentice-Gloeckler (1978) model incorporating a discrete mixture
      distribution to summarize unobserved individual heterogeneity, as
      proposed by Heckman and Singer (1984). Cf. -pgmhaz8- which
      estimates discrete time proportional hazards models with a Gamma
      distribution to characterize frailty.
      

Note. Similar models can also be estimated using -gllamm-, which also
has other features not in -hshaz- (e.g. Gateaux derivatives). -hshaz- is
a simpler one-task program.


Stephen
-------------------------------------------------------------
Professor Stephen P. Jenkins <[email protected]>
Institute for Social and Economic Research
University of Essex, Colchester CO4 3SQ, U.K.
Tel: +44 1206 873374.  Fax: +44 1206 873151.
http://www.iser.essex.ac.uk   

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