"We use British household panel data to explore the wage returns to training incidence and intensity (duration) for 6924 employees. We find these returns differ greatly depending on the nature of the training (general or specific); who funds the training (employee or employer); and the skill...

We use household panel data to explore the wage returns associated with training incidence and intensity (duration) for British employees. We find these returns differ depending on the nature of the training; who funds the training; the skill levels of the recipient (white or blue collar); the...

We use longitudinal linked employer-employee data and find that the probability of participating in firm-sponsored classroom training diminishes rapidly for workers aged 45 years and older. Although the standard human capital investment model predicts such a decline, we also consider the...

This paper investigates whether on-the-job training has an effect on the employability of workers. Using data from the Netherlands we disentangle the true effect of training incidence from the spurious one determined by unobserved individual heterogeneity. We also take into account that there...

In the coming years, a substantial portion of Germany's workforce will retire, making it difficult for businesses to meet human capital needs. Training older workers may be a successful strategy for managing this demographic transition. This study examines relationships between establishment...

Based on Statistics Canada's worker-firm matched Workplace and Employee Survey, our econometric analysis indicated that the average probability of receiving training was 9.3 percentage points higher for younger (25-49) compared to older (50+) workers. Slightly more than half of that gap is...

Several studies show that employees with firm-specific skills are more likely to be covered by employer-sponsored pension schemes than workers with general skills. Therefore it can be expected that workers with firm-specific skills retire earlier. This paper tests this prediction using US data...