Types of Temporary Employment: An 8-Year Follow-Up of Labour Market Attachment

Satu Ojala (), Jouko Nätti and Liudmila Lipiäinen
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Satu Ojala: University of Tampere
Jouko Nätti: University of Tampere
Liudmila Lipiäinen: University of Tampere

Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, 2018, vol. 138, issue 1, No 7, 163 pages

Abstract: Abstract This study aimed to find out how heterogeneous temporary employment is reflected in later labour market attachment. Using data from Finnish Quality of Work Life Surveys in 1990, 1997 and 2003 merged with an 8-year register follow-up, we compared permanent workers with three categories of temporary employees: substitutes, common fixed-term (e.g. project workers), and periphery (seasonal, on-call, temporary agency and employment subsidy) workers. First, we applied sequence analysis to identify the main activities at the end of each follow-up year for all employees with permanent and temporary contracts. On this basis, we formed six typical employment sequence clusters. Second, we performed multinomial logistic regression to find out whether there are statistically significant differences between temporary and permanent employees in terms of how they are divided between the sequence clusters. Four in five permanent employees were in stable employment over the following 8 years, compared to only two in five temporary periphery workers. The corresponding proportion for substitute workers was 70% and for common fixed-term workers 64%. Compared to permanent workers, those in common fixed-term or periphery temporary employment were more likely to become unemployed, whereas substitute workers were not. Our major finding is that periphery employment clearly increases the risk of being edged out of the labour market through retirement, especially on disability pension.

Keywords: Temporary employment; Substitute; common fixed-term and periphery temporary contracts; Labour market attachment; Longitudinal; Sequence analysis; Multinomial logistic regression analysis; Labour market segmentation theory; Core-periphery model (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/s11205-017-1648-7

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