Abstract:
-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.
Language: Stata Requires: Stata version 8.2 Keywords:duration data; survival; proportional hazards; frailty (search for similar items in EconPapers) Date: Written 2004-07-22 Note: This module may be installed from within Stata 8 by typing "ssc install hshaz". Windows users should not attempt to download these files with a web browser.
More software in Statistical Software Components from Boston College Department of Economics Address: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA Contact information at EDIRC. Series data maintained by Christopher F Baum ().
This site is part of RePEc
and all the data displayed here is part of the RePEc data set.
Is your work missing from RePEc? Here is how to
contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .