18.12.2018 • 22/2018
IWH leads large scale EU research project on productivity
Is productivity growth slowing in industrialised countries? And if so, why? From the start of 2019, the Halle Institute for Economic Research (IWH) will be addressing these questions as the coordinator of a new EU project. Economists and statistics experts from nine European partners will collaborate on the three-year project, entitled MICROPROD. With a total budget of just under three million euros, it is the IWH’s largest EU project to date.
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The maths behind gut decisions First carefully weigh up the costs and benefits and then make a rational...
Demographic Change Dossier ...
Brown Bag Seminar
Brown Bag Seminar Financial Markets Department The seminar series "Brown...
Quotations IWH: No shortenings of complex facts - but putting things in a nutshell....
21.03.2018 • 5/2018
What is holding back the banking union?
The European Commission wants to better regulate and monitor the European banking sector. In many EU Member States, however, the necessary directives are being implemented extremely slowly. Surprisingly, the reasons for this do not lie in politics and banking structures, but in the institutional framework conditions and existing regulations in the Member States, as argued by Michael Koetter, Thomas Krause and Lena Tonzer from the Halle Institute for Economic Research (IWH).
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Complex-task Biased Technological Change and the Labor Market
Review of Economic Dynamics,
In this paper we study the relationship between task complexity and the occupational wage- and employment structure. Complex tasks are defined as those requiring higher-order skills, such as the ability to abstract, solve problems, make decisions, or communicate effectively. We measure the task complexity of an occupation by performing Principal Component Analysis on a broad set of occupational descriptors in the Occupational Information Network (O*NET) data. We establish four main empirical facts for the U.S. over the 1980–2005 time period that are robust to the inclusion of a detailed set of controls, subsamples, and levels of aggregation: (1) There is a positive relationship across occupations between task complexity and wages and wage growth; (2) Conditional on task complexity, routine-intensity of an occupation is not a significant predictor of wage growth and wage levels; (3) Labor has reallocated from less complex to more complex occupations over time; (4) Within groups of occupations with similar task complexity labor has reallocated to non-routine occupations over time. We then formulate a model of Complex-Task Biased Technological Change with heterogeneous skills and show analytically that it can rationalize these facts. We conclude that workers in non-routine occupations with low ability of solving complex tasks are not shielded from the labor market effects of automatization.