Unemployment sequences and the risk of poverty: from counting duration to contextualizing sequences

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Matthias Pohlig

External Research Organisations

  • University of Bremen
  • Carl von Ossietzky University of Oldenburg
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Details

Original languageEnglish
Pages (from-to)273-305
Number of pages33
JournalSocio-economic review
Volume19
Issue number1
Early online date15 Feb 2019
Publication statusPublished - Jan 2021
Externally publishedYes

Abstract

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.

Keywords

    Europe, I32 Measurement and Analysis of Poverty, J64 Unemployment, poverty, unemployment, welfare state

ASJC Scopus subject areas

Sustainable Development Goals

Cite this

Unemployment sequences and the risk of poverty: from counting duration to contextualizing sequences. / Pohlig, Matthias.
In: Socio-economic review, Vol. 19, No. 1, 01.2021, p. 273-305.

Research output: Contribution to journalArticleResearchpeer review

Download
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