Automating episode splitting: Introducing the splitting command for Stata

Davide Bussi
Additional contact information
Davide Bussi: Università degli Studi di Milano-Bicocca

Italian Stata Users' Group Meetings 2025 from Stata Users Group

Abstract: Event history analysis (also known as survival analysis) is a well-established analytical tool in the social sciences and research more broadly, and it is particularly useful when researchers aim to estimate the effect of time-varying variables. Survival analysis is well supported in Stata via numerous built-in commands. In particular, stsplit facilitates breaking the time axis into episodes to include time-varying covariates in the analysis. While stsplit is straightforward to use when the time axis must be split at the point a change occurs in a dichotomous variable, the procedure becomes less intuitive when dealing with polytomous variables.

Date: 2025-10-01
References: Add references at CitEc
Citations:

Downloads: (external link)
http://repec.org/isug2025/ presentation materials (application/pdf)

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:isug25:07

Access Statistics for this paper

More papers in Italian Stata Users' Group Meetings 2025 from Stata Users Group Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().