Bernhard Mahlberg

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Matched employer-employee (panel) data sets are gaining increasing importance in the analysis of labour markets. In collaboration with Statistics Austria we recently initiated the set up of a matched employer-employee panel data set for Austria, which covers the years 2002-2005. The aim of the paper is to introduce the data set to a broader audience. We(More)
In the literature two approaches of productivity analyses can be found, namely the neoclassical approach and the frontier approach. Neoclassical analysis weights inputs by value shares, a procedure that requires data on factor input shares or prices. This approach imputes productivity growth to factors, but cannot distinguish a movement towards the(More)
Current demographic developments are expected to challenge the sustainability of welfare in industrialised economies. Persistent low fertility levels and increasing survival rates to older age imply a decreasing share of younger individuals within the labour force that needs to support an increasing share of old people out of the labour force. We use(More)
We measure eco-efficiency of an economy by means of an augmented Leontief input-output model extended by constraints for primary inputs. Using a multi-objective optimization model the eco-efficiency frontier of the economy is generated. The results of these multi-objective optimization problems define eco-efficient virtual decision making units (DMUs). The(More)
In this paper we analyse the link between the age structure of the labour force and average labour productivity at the intermediate level of economic sectors. The analysis is based on a panel data set ranging over six years (2002-2007) and covers the sectors of mining, manufacturing and market oriented services in the Austrian economy. Our results exhibit a(More)
In this paper we empirically try to estimate productivity and growth of the world's economies by selected indicators measuring sustainability, equity, and the state of democratic rights and civil liberties. We use models from the Data Envelopment Analysis (DEA) literature to compare productivity levels in a multiple output setting. This productivity level(More)
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