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...
Main Authors: | , , |
---|---|
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 |
id |
doaj-38f301e5ccce44a592392909e663d5ee |
---|---|
record_format |
Article |
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 |
work_keys_str_mv |
AT sanduchristianabrigitte evaluationofthedurationofunemploymentspellsusingkaplanmeierestimatorastudyonbotosanicountyslabormarket AT darabagabriel evaluationofthedurationofunemploymentspellsusingkaplanmeierestimatorastudyonbotosanicountyslabormarket AT jabaelisabeta evaluationofthedurationofunemploymentspellsusingkaplanmeierestimatorastudyonbotosanicountyslabormarket |
_version_ |
1725408244062486528 |