21.05.2025 • 17/2025
Uncertainty Holds Back European Economy ‒ Report by AIECE, a Network of European Economic Research Institutes
The AIECE Association of European Economic Research Institutes has today published its bi-annual General Report, following the Spring 2025 Meeting held in Oslo hosted by Statistics Norway. The Halle Institute for Economic Research (IWH) is a long-time member of this network and regularly contributes its economic expertise to the joint analyses and forecasts. On average, AIECE member institutes forecast EU GDP to grow by of 1.2% in 2025 and 1.5% in 2026. The average forecast for Euro Area GDP growth is 1.0% and 1.3%. These forecasts are a bit more optimistic than those presented in the OECD's March 2025 Interim Report and the IMF's Spring 2025 World Economic Outlook.
Axel Lindner
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Reassessing EU Comparative Advantage: The Role of Technology
Filippo di Mauro, Marco Matani, Gianmarco Ottaviano
IWH-CompNet Discussion Papers,
No. 2,
2024
Abstract
Based on the sufficient statistics approach developed by Huang and Ottaviano (2024), we show how the state of technology of European industries relative to the rest of the world can be empirically assessed in a way that is simple in terms of computation, parsimonious in terms of data requirements, but still comprehensive in terms of information. The lack of systematic cross-industry correlation between export specialization and technological advantage suggests that standard measures of revealed comparative advantage only imperfectly capture a country’s technological prowess due to the concurrent influences of factor prices, market size, markups, firm selection and market share reallocation.
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Reassessing EU Comparative Advantage: The Role of Technology
Filippo di Mauro, Marco Matani, Gianmarco Ottaviano
IWH Discussion Papers,
No. 26,
2024
Abstract
Based on the sufficient statistics approach developed by Huang and Ottaviano (2024), we show how the state of technology of European industries relative to the rest of the world can be empirically assessed in a way that is simple in terms of computation, parsimonious in terms of data requirements, but still comprehensive in terms of information. The lack of systematic cross-industry correlation between export specialization and technological advantage suggests that standard measures of revealed comparative advantage only imperfectly capture a country’s technological prowess due to the concurrent influences of factor prices, market size, markups, firm selection and market share reallocation.
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26.09.2024 • 27/2024
Services stabilise the East German economy – Implications of the Joint Economic Forecast Autumn 2024 and of Länder data from recent publications of the Statistical Offices
In 2024, the East German economy is expected to grow by 0.2%, while it will decline by 0.1% in Germany as a whole. The Halle Institute for Economic Research (IWH) is forecasting an East German growth rate of 0.7% in 2025, and a rate of 1.2% in 2026. According to the IWH forecast, the unemployment rate in eastern Germany is likely to be 7.5% in 2024 as well as 2025 and 7.2% in 2026.
Oliver Holtemöller
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Economic recovery in Germany – but structural problems and US trade policy weigh on the economy If the US does not escalate its trade conflicts further, production in Germany…
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IWH Bankruptcy Research The Bankruptcy Research Unit of the Halle Institute for Economic Research (IWH) presents the Institute’s research on the topics of corporate bankruptcy,…
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IWH Alumni The IWH maintains contact with its former employees worldwide. We involve our alumni in our work and keep them informed, for example, with a newsletter. We also plan…
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People Doctoral Students PhD Representatives Alumni Supervisors Lecturers Coordinators Doctoral Students Afroza Alam (Supervisor: Reint Gropp ) Annika Backes (Supervisors: Simon…
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Non-Standard Errors
Albert J. Menkveld, Anna Dreber, Felix Holzmeister, Juergen Huber, Magnus Johannesson, Michael Koetter, Markus Kirchner, Sebastian Neusüss, Michael Razen, Utz Weitzel, Shuo Xia, et al.
Journal of Finance,
No. 3,
2024
Abstract
In statistics, samples are drawn from a population in a datagenerating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidencegenerating process (EGP). We claim that EGP variation across researchers adds uncertainty: non-standard errors. To study them, we let 164 teams test six hypotheses on the same sample. We find that non-standard errors are sizeable, on par with standard errors. Their size (i) co-varies only weakly with team merits, reproducibility, or peer rating, (ii) declines significantly after peer-feedback, and (iii) is underestimated by participants.
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IWH Forecasting Dashboard The objective of the IWH Forecasting Dashboard (ForDas) is to provide a platform for macroeconomic forecasts from various institutions for the German…
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