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Non-parametric Duration Models in the First Job for Young Graduates in Tunisia

Bibliographic Data

ID13133797
AuthorsAdel Benhamed (0000-0002-8210-5126, King Faisal University, corresponding author)
Year2025
Volume5
Issue6
Publication date2025-05-24
Open AccessYes
TypeARTICLE
VenueJournal of Posthumanism (JOURNAL)
Journal identifiersISSN: 2634-3576 • E-ISSN: 2634-3584
PublisherNobel Press Resources (PUBLISHER)
DOI10.63332/joph.v5i6.2075
OpenAlexW4410714012
LanguageEN

This paper aims to analyze using reduced-form econometric estimates, the individual unemployment durations of young graduates, focusing on the influence of search mode choices in accessing the first job. Duration models are estimated with right-censored data.Non-parametric duration estimation procedures (Kaplan-Meier estimator) are statistical models that do not make assumptions about the distribution of the data, allowing for a more flexible analysis of the transition process. This paper uses these models to estimate the length of time it takes for young graduates to transition from school to work, and to identify factors that may impact the duration of this process, such as educational level, type of study program, and other demographic and socioeconomic variables.Kaplan-Meier estimator allow the evaluation of the hazard function to be conducted directly by accounting for right censoring without incorporating the impact of individual characteristics

Acoustics · Duration (music · Parametric statistics · Physics · Statistics · Labor market dynamics and wage inequality · Mathematics · Psychology

Highly citedNo

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