GHSURV: Stata module for the estimation of survival model using repeated cross-sectional data

Fernando Rios-Avila ()

Statistical Software Components from Boston College Department of Economics

Abstract: 'ghsurv' is a command that implements the Guell and Hu (2006) estimator for survival analysis using repeated cross-section and uncompleted spells. The method uses the observed distribution of current uncompleted spells length across two periods (base sample and continuation sample) to determine what factors affect the likelihood of an individual exiting, or remaining in the sample. For example, characteristics that are observed with less frequency in the continuation sample are associated with higher risks of exiting (failure) the spell. Details of the estimator are described in Mundra and Rios-Avila (2020).

Language: Stata
Requires: Stata version 13
Keywords: survival; repeated measures; spells; streg; logit (search for similar items in EconPapers)
Date: 2020-04-10
Note: This module should be installed from within Stata by typing "ssc install ghsurv". 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/ghsurv.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/g/ghsurv_set.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/g/ghsurv_p.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/g/ghcloglog.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/g/ghlogit.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/g/ghprobit.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/g/ghsurv.sthlp help file (text/plain)

Related works:
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:s458760

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 ().