Evaluation of the Duration of Unemployment Spells Using Kaplan-Meier Estimator. A study on Botoşani County’s Labor Market

The aim of this paper is analysing unemployment spells for Botoşani County’s labour market. The database includes individual information on a sample of 200 unemployment spells registeredat the Employment Agency of Botoşani County during January 2012 - December 2015. We compare Kaplan-Meier estimate...

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Main Authors: Sandu Christiana Brigitte, Darabă Gabriel, Jaba Elisabeta
Format: Article
Language:English
Published: Ovidius University Press 2018-01-01
Series:Ovidius University Annals: Economic Sciences Series
Subjects:
Online Access:http://stec.univ-ovidius.ro/html/anale/RO/wp-content/uploads/2018/08/23.pdf
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spelling doaj-38f301e5ccce44a592392909e663d5ee2020-11-25T00:10:19ZengOvidius University PressOvidius University Annals: Economic Sciences Series2393-31272393-31272018-01-01XVIII1248253Evaluation of the Duration of Unemployment Spells Using Kaplan-Meier Estimator. A study on Botoşani County’s Labor MarketSandu Christiana Brigitte0Darabă Gabriel1Jaba Elisabeta2“Alexandru Ioan Cuza” University of Iasi“Alexandru Ioan Cuza” University of Iasi“Alexandru Ioan Cuza” University of IasiThe aim of this paper is analysing unemployment spells for Botoşani County’s labour market. The database includes individual information on a sample of 200 unemployment spells registeredat the Employment Agency of Botoşani County during January 2012 - December 2015. We compare Kaplan-Meier estimates of the probability of staying unemployed in function ofseveral characteristics, namely cohort, gender, and age. The method is applied using STATA 13.0software. The results of our estimations show that probabilities of staying unemployed areinfluenced by the variable cohort, when controlling for gender and age.http://stec.univ-ovidius.ro/html/anale/RO/wp-content/uploads/2018/08/23.pdfunemployementKaplan- Meier estimatorsurvival probabilitiescohort
collection DOAJ
language English
format Article
sources DOAJ
author Sandu Christiana Brigitte
Darabă Gabriel
Jaba Elisabeta
spellingShingle Sandu Christiana Brigitte
Darabă Gabriel
Jaba Elisabeta
Evaluation of the Duration of Unemployment Spells Using Kaplan-Meier Estimator. A study on Botoşani County’s Labor Market
Ovidius University Annals: Economic Sciences Series
unemployement
Kaplan- Meier estimator
survival probabilities
cohort
author_facet Sandu Christiana Brigitte
Darabă Gabriel
Jaba Elisabeta
author_sort Sandu Christiana Brigitte
title Evaluation of the Duration of Unemployment Spells Using Kaplan-Meier Estimator. A study on Botoşani County’s Labor Market
title_short Evaluation of the Duration of Unemployment Spells Using Kaplan-Meier Estimator. A study on Botoşani County’s Labor Market
title_full Evaluation of the Duration of Unemployment Spells Using Kaplan-Meier Estimator. A study on Botoşani County’s Labor Market
title_fullStr Evaluation of the Duration of Unemployment Spells Using Kaplan-Meier Estimator. A study on Botoşani County’s Labor Market
title_full_unstemmed Evaluation of the Duration of Unemployment Spells Using Kaplan-Meier Estimator. A study on Botoşani County’s Labor Market
title_sort evaluation of the duration of unemployment spells using kaplan-meier estimator. a study on botoşani county’s labor market
publisher Ovidius University Press
series Ovidius University Annals: Economic Sciences Series
issn 2393-3127
2393-3127
publishDate 2018-01-01
description The aim of this paper is analysing unemployment spells for Botoşani County’s labour market. The database includes individual information on a sample of 200 unemployment spells registeredat the Employment Agency of Botoşani County during January 2012 - December 2015. We compare Kaplan-Meier estimates of the probability of staying unemployed in function ofseveral characteristics, namely cohort, gender, and age. The method is applied using STATA 13.0software. The results of our estimations show that probabilities of staying unemployed areinfluenced by the variable cohort, when controlling for gender and age.
topic unemployement
Kaplan- Meier estimator
survival probabilities
cohort
url http://stec.univ-ovidius.ro/html/anale/RO/wp-content/uploads/2018/08/23.pdf
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