Individual and workplace-specific determinants of paid and unpaid overtime work in Germany
24 April 2015
In Germany, overtime work is a well-established instrument for varying working hours of employees and is of great importance for establishments as a measure of internal flexibility. However, not all employees are affected to the same degree by a variation of the work effort through overtime work. Besides socio-demographic factors, workplace-specific factors that provide information about the position of employees in the establishment play an important role, too. So far, we do not know enough how these workplace-specific factors are associated with overtime work. This question is at the centre of this study.
IAB-Discussion Paper 15/2015
Journal for Labour Market Research 1/2015
14 April 2015
Occupational and regional mobility as substitutes
10 April 2015
Job mobility offers opportunities for workers to obtain wage increases, but returns to job changes differ considerably. The authors argue that parts of this inequality result from a trade-off between occupational and regional mobility. Both mobility types offer alternative strategies to improve one’s labor market position; however, they each contain unique restrictions. High costs for regional mobility can thus evoke occupation changes, even though the resulting human capital devaluation leads to lower wage increases. The authors use linked retrospective life-course data for Germany (ALWA-ADIAB) and apply competing risks models to show that restrictions on one type of mobility drive individuals toward the other. Using fixed-effects regressions, we show that occupational mobility leads to lower wage increases compared to regional mobility.
IAB-Discussion Paper 14/2015
A Global Vector Autoregression (GVAR) model for regional labour markets and its forecasting performance with leading indicators in Germany
01 April 2015
The focus of this paper is on forecasting regional labour markets. It is broadly accepted that two aspects regarding the modeling strategy are essential for the accuracy of forecast: a parsimonious model focusing on the important structures, and the quality of prospective information. Here, we establish a Global VAR framework, a technique that considers a variety of spatio-temporal dynamics in a multivariate setting, that allows for spatially heterogeneous slope coefficients, and that is nevertheless feasible for data without extremely long time dimension. Second, we use this framework to analyse the prospective information regarding the economy due to spatial co-development of regional labour markets in Germany. The predictive content of the spatially interdependent variables is compared with the information content of various leading indicators which describe the general economic situation, the tightness of labour markets and environmental impacts like weather.
IAB-Discussion Paper 13/2015
AAPOR Report on Big Data
23 March 2015
There is a great potential in Big Data but there are some fundamental challenges that have to be resolved before its full potential can be realized. In this report we give examples of different types of Big Data and their potential for survey research. We also describe the Big Data process and discuss its main challenges.This report has four objectives: to educate the AAPOR membership about Big Data (Section 3), to describe the Big Data potential (Section 4 and Section 7), to describe the Big Data challenges (Section 5 and 6) and to discuss possible solutions and research needs (Section 8).
AAPOR Report on Big Data
Structural Unemployment in Selected Countries
27 February 2015
Structural – or non-cyclical – unemployment is a consequence of mismatch between worker and job profiles, institutional conditions or persistent economic shocks. There is no convention how to measure structural unemployment. The following country re-ports sketch the specific situation based on national statistics. Nonetheless, it becomes clear that low qualification, skill depreciation during long unemployment spells, and regional disparity or structural imbalances are important aspects to consider when combating structural unemployment. Typically, the individual barriers to re-integration into the labour market are manifold which necessitates specifically tailored policy measures. However, the most efficient policy would be prevention.
This report introduces basics on structural unemployment in some member countries of the International Labour Market Forecasting Network. The Network is a cooperation of forecasters and policy advisors related to Public Employment Services. The following contributions were presented on the annual meeting 2014.
Current report: Structural Unemployment in Selected Countries