The purpose of my paper is to describe and explain the probability of staying in temporary work for young people (age 16-27) in Sweden between 1992 and 2011 and its relation to socioeconomic outcomes (low socioeconomic classification and wage). I used panel data from the Swedish Labour Force Survey (LFS) and the longitudinal integration database for health insurance and labour market studies (LISA). To analyse the data, I used a dynamic probit model, unconditional quantile regression, and a pooled bivariate probit model. My results suggest that young people who have a low education have lower probabilities of receiving temporary employment in younger cohorts. However, younger cohorts with a lower education have a substantive wage disadvantage, specifically in younger cohorts compared to older cohorts. Low-educated cohorts also have a higher probability of obtaining low socioeconomic classification (SEC) employment, which is conditional on holding temporary employment in older cohorts compared to other educational groupings.