Will There Be a Shortage of Skilled Labor? An East German Perspective to 2015
Herbert S. Buscher, Eva Dettmann, Marco Sunder, Dirk Trocka
IWH Discussion Papers,
No. 13,
2009
Abstract
We analyze the supply and demand of skilled labor in an East German federal state, Thuringia. This state has been facing high unemployment in the course of economic transformation and experiences population ageing and shrinking more rapidly than most West European regions. In a first step, we use extrapolation techniques to forecast labor supply and demand for the period 2009-2015, disaggregated by type of qualification. The analysis does not corroborate the notion of an imminent skilled-labor shortage but provides hints for a tightening labor market for skilled workers. In the second step, we ask firms about their appraisal of future recruitment conditions, and both current and planned strategies in the context of personnel management. The majority of firms plan to expand further education efforts and hire older workers. The study closes with policy recommendations to prevent occupational mismatch.
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Evaluation von Maßnahmen der aktiven Arbeitsmarktpolitik mit Hilfe eines iterativen Matching-Algorithmus - Eine Fallstudie über langzeitarbeitslose Maßnahmeteilnehmer in Sachsen
Eva Reinowski, Birgit Schultz, Jürgen Wiemers
IWH Discussion Papers,
No. 173,
2003
Abstract
The paper evaluates the effects of two labor market programs in Germany, namely the Job Creation- /Structural Adjustment Scheme and Vocational Training, on the unemployment duration of long term unemployed persons. The study uses data from the Mikrozensus Sachsen. A two step Nearest-Neighbor-Matching is employed to solve the sample selection problem. The first step is the estimation of the participation tendency to obtain potential pairs and to compute their Mahalanobis distances. For the assignment of pairs in the second step two different procedures are used: a standard technique and a new one - the iterative improvement of an initial assignment. This process is superior to the standard matching algorithms in the sense that it allows for a closer match between participants and non-participants. Including additional information about a person’s employment history enables us to eliminate the bias due to unobservables. The impact of participation in a labor market program is evaluated by comparing the unemployment duration between both groups using the Cox Proportional Hazard Model. Overall we find empirical evidence that both participation in Job Creation- /Structural Adjustment Scheme and Vocational Training result in even longer unemployment.
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