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Modelling the Duration of the First Job Using Bayesian Accelerated Failure Time Models

Wioletta Grzenda · Lodz University Press · 2017

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Author / responsible party
Wioletta Grzenda
Publisher
Lodz University Press
Year
2017
ISSN
0208-6018
ISSN
0208-6018
Language
English

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In this paper, the duration of the first job of young people aged 18–30 has been analyzed. The aim of the work is to find the distribution which best describes the investigated phenomenon. Bayesian accelerated failure time models have been used for modelling. The use of the Bayesian approach made it possible to extend past research. More precisely, prior information could be included in the study, which let us compare distributions of model parameters. Moreover, the comparison of explanatory power of competing models based on the Bayesian theory was possible. The duration of the first job for men and women was also compared using the abovementioned methods.

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APA 7

Grzenda, W. (2017). Modelling the Duration of the First Job Using Bayesian Accelerated Failure Time Models. https://doi.org/10.18778/0208-6018.330.02

MLA

Grzenda, Wioletta. "Modelling the Duration of the First Job Using Bayesian Accelerated Failure Time Models." 2017. https://doi.org/10.18778/0208-6018.330.02.

Chicago

Grzenda, Wioletta. 2017. "Modelling the Duration of the First Job Using Bayesian Accelerated Failure Time Models.". https://doi.org/10.18778/0208-6018.330.02.

Harvard

Grzenda, W. 2017, Modelling the Duration of the First Job Using Bayesian Accelerated Failure Time Models, Lodz University Press, available at: https://doi.org/10.18778/0208-6018.330.02 [Accessed 7 Aug. 2026].

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Resource details

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Title
Modelling the Duration of the First Job Using Bayesian Accelerated Failure Time Models
Author / contributors
Wioletta Grzenda
Publisher
Lodz University Press
Publication year
2017
ISSN
0208-6018
ISSN
0208-6018
Language
English

Subjects

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parametric survival models; AFT models; the Bayesian approach; MCMC; employment
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