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

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...

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Main Author: Wioletta Grzenda
Format: Article
Language:English
Published: Lodz University Press 2017-11-01
Series:Acta Universitatis Lodziensis. Folia Oeconomica
Subjects:
Online Access:https://czasopisma.uni.lodz.pl/foe/article/view/927
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author Wioletta Grzenda
author_facet Wioletta Grzenda
author_sort Wioletta Grzenda
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description 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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spelling doaj.art-699ba20d0f1d4c188ed32e971ea497852022-12-21T19:05:10ZengLodz University PressActa Universitatis Lodziensis. Folia Oeconomica0208-60182353-76632017-11-01433010.18778/0208-6018.330.021608Modelling the Duration of the First Job Using Bayesian Accelerated Failure Time ModelsWioletta Grzenda0Warsaw School of Economics, Institute of Statistics and Demography, Event History and Multilevel Analysis UnitIn 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.https://czasopisma.uni.lodz.pl/foe/article/view/927parametric survival modelsAFT modelsthe Bayesian approachMCMCemployment
spellingShingle Wioletta Grzenda
Modelling the Duration of the First Job Using Bayesian Accelerated Failure Time Models
Acta Universitatis Lodziensis. Folia Oeconomica
parametric survival models
AFT models
the Bayesian approach
MCMC
employment
title Modelling the Duration of the First Job Using Bayesian Accelerated Failure Time Models
title_full Modelling the Duration of the First Job Using Bayesian Accelerated Failure Time Models
title_fullStr Modelling the Duration of the First Job Using Bayesian Accelerated Failure Time Models
title_full_unstemmed Modelling the Duration of the First Job Using Bayesian Accelerated Failure Time Models
title_short Modelling the Duration of the First Job Using Bayesian Accelerated Failure Time Models
title_sort modelling the duration of the first job using bayesian accelerated failure time models
topic parametric survival models
AFT models
the Bayesian approach
MCMC
employment
url https://czasopisma.uni.lodz.pl/foe/article/view/927
work_keys_str_mv AT wiolettagrzenda modellingthedurationofthefirstjobusingbayesianacceleratedfailuretimemodels