TSI Concluding Conference – March 17-18, 2025, Berlin
TSI Concluding Conference 17-18 March 2025 in Berlin The TSI Concluding Conference , held in Berlin on March 17–18, 2025 , brought together key stakeholders from across the TSI…
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6th CompNet Data Provider Forum
6th Data Provider Forum The 6th Data Provider forum took place at the IWH in Halle (Saale), Germany on 22. June 2023. It was a joint event with the 2nd TSI Workshop and brought…
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ProdTalks
CompNet ProdTalks CompNet ProdTalks is a monthly recurring 1.5 hour virtual event, two selected papers will be presented including presentation, discussion and Q&A. The top ic…
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CAED 2020 Seminar: Exploring High Frequency Business Dynamics
CAED 2020 Seminar: Exploring High Frequency Business Dynamics CAED 2020 hat not taken place this year. Instead, while waiting for CAED 2021, we will have seminar on every last…
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CompNet Data Provider Forum & TSI Workshop
7th CompNet Data Provider Forum & 4th TSI Workshop The upcoming CompNet Data Providers Forum and TSI Workshop, taking place in Amsterdam on November 18-19, 2024, promises to be a…
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7th vintage
7th Vintage CompNet Dataset The CompNet dataset includes a set of micro-aggregated indicators to enhance policy and academic analysis on competitiveness and productivity. All the…
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8th vintage
8th Vintage CompNet Dataset The CompNet dataset includes a set of micro-aggregated indicators to enhance policy and academic analysis on competitiveness and productivity. All the…
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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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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
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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