Health inequalities among young workers: the mediating role of working conditions and company characteristics

Objective Few studies have investigated health inequalities among young workers. The objectives of this study are to assess the extent of health inequalities in a sample of job starters and to explore the contribution of job demands and organisational factors. Methods We analyze data from the BIBB/BAuA Youth Employment Survey 2012. The cross-sectional survey includes a representative sample of 3214 German employees, apprentices, and trainees aged 15–24 years. Individuals were grouped by their years of schooling into low (< 12 years) and high levels of education (≥ 12 years). Regression analysis estimated the link between education and four health outcomes: self-rated health, number of health events, musculoskeletal symptoms, and mental health problems over the last 12 months. Counterfactual mediation analysis tested for indirect effects of educa- tion via working conditions (i.e., physical and psychosocial job demands) and company characteristics (i.e., company size, health prevention measures, financial situation, downsizing). All analyses were adjusted for age, sex, nationality, region, working hours, job tenure, employment relationship, and economic sector. Results Highly educated workers reported better self-rated health (b = 0.24, 95% CI 0.18–0.31) and lower numbers of health events (Rate Ratio (RR) = 0.74, 95% CI 0.67–0.82), musculoskeletal symptoms (RR = 0.73, 95% CI 0.66–0.80) and mental health problems (RR = 0.84, 95% CI 0.76–0.93). Total job demands explained between 21.6% and 87.2% of the educational differences (depending on health outcome). Unfavourable company characteristics were associated with worse health, but showed no or only small mediation effects. Conclusions Health inequalities are already present at the early working career due to socio-economically stratified working hazards. To enhance prevention measures that aim at reducing inequalities in workplace health, we propose shifting attention towards earlier stages of life.Peer Reviewe

Ageing and employability. Evidence from Belgian firm-level data

The Belgian population is ageing due to demographic changes, so does the workforce of firms active in the country. Such a trend is likely to remain for the foreseeable future. And it will be reinforced by the willingness of public authorities to expand employment among individuals aged 50 or more. But are older workers employable? The answer depends to a large extent on the gap between older workers’ productivity and their cost to employers. To address this question we use a production function that is modified to reflect the heterogeneity of labour with workers of different age potentially diverging in terms of marginal products. Using unique firm-level panel data we produce robust evidence on the causal effect of ageing on productivity (value added) and labour costs. We take advantage of the panel structure of data and resort to first-differences to deal with a potential time-invariant heterogeneity bias. Moreover, inspired by recent developments in the production function estimation literature, we also address the risk of simultaneity bias (endogeneity of firm’s age-mix choices in the short run) using (1) the structural approach suggested by Ackerberg et al. Structural identification of production functions. Department of Economics, UCLA, (2006), (2) alongside more traditional system-GMM methods (Blundell and Bond in J Econom 87:115–143, 1998) where lagged values of labour inputs are used as instruments. Our results indicate a negative impact of larger shares of older workers on productivity that is not compensated by lower labour costs, resulting in a lower productivity-labour costs gap. An increment of 10 %-points of their share causes a 1.3–2.8 % contraction of this gap. We conduct several robustness checks that largely confirm this result. This is not good news for older individuals’ employability and calls for interventions in the Belgian private economy aimed at combating the decline of productivity with age and/or better adapting labour costs to age-productivity profiles

Work stress on rise? Comparative analysis of trends in work stressors using the European working conditions survey

Objective!#!The rapid transformation of labor markets has been accompanied by the belief of rising stress at work. However, empirical evidence on such trends based on reliable survey data is scarce. This study analyzes long-term trends in well-established measures of work stressors across Europe, as well as potential occupational differences.!##!Methods!#!We use repeated cross-sectional data of 15 European countries from waves 1995, 2000, 2005, 2010, and 2015 of the European Working Conditions Surveys. We apply three-way multilevel regressions (with employees nested in country-years, which are in turn nested in countries) to analyze trends in work stressors measured according to the demand-control and effort-reward imbalance models. Trends by occupational groups are also assessed.!##!Results!#!Our findings suggest that work stress generally increased from 1995 to 2015, and that the increase was mostly driven by psychological demands. People working in lower-skilled occupations had generally higher levels of job strain and effort-reward imbalance, as well as they tend to have a steeper increase in job strain than people working in higher-skilled occupations. Most of the change occurred from 1995 to 2005.!##!Conclusion!#!Our results indicate that work stress has been on rise since 1995, specifically for people working in disadvantageous occupations. This directs the attention to the vulnerable position of the least skilled and also to the use of preventive measures to counteract some of the disadvantages experienced by this occupational group