Details
Original language | English |
---|---|
Pages (from-to) | 273-305 |
Number of pages | 33 |
Journal | Socio-economic review |
Volume | 19 |
Issue number | 1 |
Early online date | 15 Feb 2019 |
Publication status | Published - Jan 2021 |
Externally published | Yes |
Abstract
Keywords
- Europe, I32 Measurement and Analysis of Poverty, J64 Unemployment, poverty, unemployment, welfare state
ASJC Scopus subject areas
- Economics, Econometrics and Finance(all)
- Social Sciences(all)
- Sociology and Political Science
Sustainable Development Goals
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In: Socio-economic review, Vol. 19, No. 1, 01.2021, p. 273-305.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Unemployment sequences and the risk of poverty: from counting duration to contextualizing sequences
AU - Pohlig, Matthias
N1 - Publisher Copyright: © 2021 The Author(s) 2019. Published by Oxford University Press and the Society for the Advancement of Socio-Economics. All rights reserved.
PY - 2021/1
Y1 - 2021/1
N2 - Research has consistently shown that unemployment is a strong predictor for income poverty. So far, most studies have focused on the duration of unemployment to account for differences in income poverty. However, this practice may mistreat trajectories which conform less to the norm of continuous full-time employment before unemployment. In this article, I first develop a generalized framework which contextualizes unemployment sequences according to duration as well as timing and order. Second, I apply a sequence analysis to longitudinal data from five European welfare states—Austria, the Netherlands, Poland, Spain, and Sweden—using the European Union Statistics on Income and Living Conditions. Thereby, I construct a typology of unemployment sequences which includes some non-standard types of unemployment sequences. These sequences contain inactivity, part-time employment and self-employment spells and have an increased poverty risk. Thus, the sequence-based framework and the sequence analysis are able to contextualize unemployment sequences better than the conventional measure of unemployment duration.
AB - Research has consistently shown that unemployment is a strong predictor for income poverty. So far, most studies have focused on the duration of unemployment to account for differences in income poverty. However, this practice may mistreat trajectories which conform less to the norm of continuous full-time employment before unemployment. In this article, I first develop a generalized framework which contextualizes unemployment sequences according to duration as well as timing and order. Second, I apply a sequence analysis to longitudinal data from five European welfare states—Austria, the Netherlands, Poland, Spain, and Sweden—using the European Union Statistics on Income and Living Conditions. Thereby, I construct a typology of unemployment sequences which includes some non-standard types of unemployment sequences. These sequences contain inactivity, part-time employment and self-employment spells and have an increased poverty risk. Thus, the sequence-based framework and the sequence analysis are able to contextualize unemployment sequences better than the conventional measure of unemployment duration.
KW - Europe
KW - I32 Measurement and Analysis of Poverty
KW - J64 Unemployment
KW - poverty
KW - unemployment
KW - welfare state
UR - http://www.scopus.com/inward/record.url?scp=85087796616&partnerID=8YFLogxK
U2 - 10.1093/ser/mwz004
DO - 10.1093/ser/mwz004
M3 - Article
VL - 19
SP - 273
EP - 305
JO - Socio-economic review
JF - Socio-economic review
SN - 1475-1461
IS - 1
ER -