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

Matthias Pohlig*

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer review

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

UN Sustainable Development Goals (SDGs)

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth

Keywords

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

ASJC Scopus subject areas

  • Economics, Econometrics and Finance(all)
  • Sociology and Political Science

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