New Publication by BIGSSS PhD fellow Matthias Pohlig › view all
"Unemployment Sequences and the Risk of Poverty: From Counting Duration to Contextualizing Sequences"
BIGSSS PhD fellow Matthias Pohlig published a new article on "Unemployment Sequences and the Risk of Poverty: From Counting Duration to Contextualizing Sequences". The article was published in Socio-Economic Review.
Access the article "Unemployment Sequences and the Risk of Poverty" through the journal's website.
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.