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Precariousness on the Swedish labour market: A theoretical and empirical account

Published online by Cambridge University Press:  01 January 2023

Karl Gauffin*
Affiliation:
Stockholm University, Sweden
*
Karl Gauffin, Centre for Health Equity Studies (CHESS), Department of Public Health Sciences, Stockholm University, SE-10691 Stockholm, Sweden. Email: karl.gauffin@su.se
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Abstract

The purpose of this article is to investigate emerging areas of precarious employment in Sweden. Based on the literature on dimensions of precariousness and neoliberalism, this article will begin with an analysis of the transitioning Swedish welfare state and the contextual environment of precarious employment in Sweden. This will serve as a point of departure for the development of an occupational classification scheme including measures of income and employment security. In an empirical analysis, the occupational classification will be applied to a population-based register material including two birth cohorts of employed Swedish residents aged 28–33, with a registered income. The development of income and employment security will be described and discussed. By applying this newly developed measure of precarious employment, this article will provide a platform for future theoretical and empirical research on precarious employment in a transitioning welfare state.

Information

Type
Further Refereed Articles
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s) 2020
Figure 0

Figure 1. Translation of societal changes into central dimensions of precarious work.

Figure 1

Figure 2. Occupational classification according to income and security.

Figure 2

Figure 3. Empirical measure of occupational classification according to income and security.

Figure 3

Table 1. Description of the study population.

Figure 4

Figure 4. Income distribution in total study population.

Figure 5

Table 2. Occupational classification at age 30 in cohort 1 (1972–1977).

Figure 6

Table 3. Occupational classification at age 30 in cohort 2 (1979–1984).

Figure 7

Table 4. Odds ratios (95% CI) from logit models with robust standard errors for precarious employment.

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