Search results

AbstractWe examine the hypothesis that flexible work organization involves greater skill requirements and, hence, an increased likelihood of receiving employer provided training. The analysis is based on unique linked employer‐employee data from Germany for the years 2012, 2014 and 2016 (12,924 pooled observations from 9,440 employees in 1,903 establishments). Our results confirm that employees are more likely to receive training when their jobs are characterized by greater decision‐making autonomy and task variety, two essential elements of flexibility. Critically, the training associated with workplace flexibility does not simply reflect technology. Skill‐biased organizational change plays its own role. Moreover, we show that the training associated with workplace flexibility is disproportionately oriented toward employees with a greater formal education. We find little evidence of an age or a gender bias of workplace flexibility.

Research in wage differentials has a long tradition. Prominent reasons why people make more or less money in the labor market include personal characteristics of the employee (e.g., human capital or gender), job characteristics (working conditions demanding compensating wage differentials), and characteristics of the employer (e.g., industry or firm size)...

"Methods for the analysis of linked employer-employee data are not yet available in standard econometrics packages. In this paper, we make the fixed-effects methods developed orginally by Abowd, Kramarz, Margolis and others more accessible, where possible, and show how they can be implemented in Stata. To illustrate these techniques, we give an example using German linked data. There is a caveat: when the number of plants is prohibitively large and the investigator wants to estimate the correlation between the worker and firm unobserved heterogeneities, the regression-based techniques discussed are not feasible." (authjors abstract)

In most Western, industrialised countries the workforce is ageing rapidly. In order to assess the possible consequences of an ageing workforce, this paper measures the impact of changes in the age structure of establishments on productivity using representative linked employer-employee panel data. We take into account that the levels as well as the changes in the age structure of establishments and their production are likely to be simultaneously determined and apply dynamic GMM methods. We find that establishment productivity increases with the share of employees until the age of 50-55 and only decreases slightly afterwards. Our findings suggest that previous estimations are biased because they either do not take into account endogeneity, time dependencies, or crucial information correlated with age shares and productivity. Large standard deviations point to important variation in the age productivity profile among establishments.